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Surface Roughness Research Papers - Academia.edu

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type="text/json">{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="14049" href="https://www.academia.edu/Documents/in/Metal_matrix_composite">Metal matrix composite</a>,&nbsp;<script data-card-contents-for-ri="14049" type="text/json">{"id":14049,"name":"Metal matrix composite","url":"https://www.academia.edu/Documents/in/Metal_matrix_composite?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="33296" href="https://www.academia.edu/Documents/in/Surface_Roughness">Surface Roughness</a><script data-card-contents-for-ri="33296" type="text/json">{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=6463649]'), work: {"id":6463649,"title":"Grinding of alumina/aluminum composites","created_at":"2014-03-18T14:52:30.022-07:00","url":"https://www.academia.edu/6463649/Grinding_of_alumina_aluminum_composites?f_ri=33296","dom_id":"work_6463649","summary":null,"downloadable_attachments":[{"id":48856022,"asset_id":6463649,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":10236448,"first_name":"Nguyen","last_name":"Hung","domain_name":"independent","page_name":"NguyenHung26","display_name":"Nguyen Hung","profile_url":"https://independent.academia.edu/NguyenHung26?f_ri=33296","photo":"https://0.academia-photos.com/10236448/4220319/4912244/s65_nguyen.hung.jpg_oh_ff94e3ef6f67422e8de2c155ae362974_oe_5472073f___gda___1415258025_aa8a77a8162eb74c158f2b06b6f12b93"}],"research_interests":[{"id":56,"name":"Materials 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itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="7646368" href="https://westernu.academia.edu/EvgueniBordatchev">Evgueni Bordatchev</a><script data-card-contents-for-user="7646368" type="text/json">{"id":7646368,"first_name":"Evgueni","last_name":"Bordatchev","domain_name":"westernu","page_name":"EvgueniBordatchev","display_name":"Evgueni Bordatchev","profile_url":"https://westernu.academia.edu/EvgueniBordatchev?f_ri=33296","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5453069 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5453069"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5453069, container: ".js-paper-rank-work_5453069", }); });</script></li><li class="js-percentile-work_5453069 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Bordatchev","profile_url":"https://westernu.academia.edu/EvgueniBordatchev?f_ri=33296","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":5109,"name":"Pattern Recognition","url":"https://www.academia.edu/Documents/in/Pattern_Recognition?f_ri=33296","nofollow":false},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=33296","nofollow":false},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary?f_ri=33296","nofollow":false},{"id":29640,"name":"Acoustic Emission","url":"https://www.academia.edu/Documents/in/Acoustic_Emission?f_ri=33296","nofollow":false},{"id":30485,"name":"Time series analysis","url":"https://www.academia.edu/Documents/in/Time_series_analysis?f_ri=33296"},{"id":32890,"name":"Process Monitoring","url":"https://www.academia.edu/Documents/in/Process_Monitoring?f_ri=33296"},{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296"},{"id":35399,"name":"Control system","url":"https://www.academia.edu/Documents/in/Control_system?f_ri=33296"},{"id":973996,"name":"Process Parameters","url":"https://www.academia.edu/Documents/in/Process_Parameters?f_ri=33296"},{"id":1761622,"name":"Monitoring and control","url":"https://www.academia.edu/Documents/in/Monitoring_and_control?f_ri=33296"},{"id":2521725,"name":"Power Spectrum Density","url":"https://www.academia.edu/Documents/in/Power_Spectrum_Density?f_ri=33296"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_4607542" data-work_id="4607542" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/4607542/The_Role_of_Surface_Preparation_Parameters_on_Cold_Roll_Bonding_of_Aluminum_Strips">The Role of Surface Preparation Parameters on Cold Roll Bonding of Aluminum Strips</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">It is the objective of this article to investigate the influence of surface preparation on the cold roll bonding (CRB) process. In this context, the effects of surface preparation parameters consisting of surface preparation method,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_4607542" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">It is the objective of this article to investigate the influence of surface preparation on the cold roll bonding (CRB) process. In this context, the effects of surface preparation parameters consisting of surface preparation method, surface roughness, scratch-brushing parameters, and the delay time between surface preparation and rolling are investigated on the bond strength of aluminum strips. The bond strength of two adjacent aluminum strips produced by the CRB process is evaluated by the peeling test. Furthermore, the interface region is investigated by metallographic observations. Our findings indicate that higher surface roughness values and shorter delay times improve the bond strength. It is also found that degreasing followed by scratch-brushing yield the best bonding properties.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/4607542" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3518af33610e6db085cc99de1e0e92bd" rel="nofollow" data-download="{&quot;attachment_id&quot;:49758558,&quot;asset_id&quot;:4607542,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49758558/download_file?st=MTczMzI2MjMzMyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="5799275" href="https://iut.academia.edu/RoohollahJamaati">Roohollah Jamaati</a><script data-card-contents-for-user="5799275" type="text/json">{"id":5799275,"first_name":"Roohollah","last_name":"Jamaati","domain_name":"iut","page_name":"RoohollahJamaati","display_name":"Roohollah Jamaati","profile_url":"https://iut.academia.edu/RoohollahJamaati?f_ri=33296","photo":"https://0.academia-photos.com/5799275/172988068/162996906/s65_roohollah.jamaati.png"}</script></span></span></li><li class="js-paper-rank-work_4607542 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="4607542"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 4607542, container: ".js-paper-rank-work_4607542", }); 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$(".js-view-count[data-work-id=4607542]").text(description); $(".js-view-count-work_4607542").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_4607542").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="4607542"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">6</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="56" href="https://www.academia.edu/Documents/in/Materials_Engineering">Materials Engineering</a>,&nbsp;<script data-card-contents-for-ri="56" type="text/json">{"id":56,"name":"Materials Engineering","url":"https://www.academia.edu/Documents/in/Materials_Engineering?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="33296" href="https://www.academia.edu/Documents/in/Surface_Roughness">Surface Roughness</a>,&nbsp;<script data-card-contents-for-ri="33296" type="text/json">{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="51901" href="https://www.academia.edu/Documents/in/Time-Delay_Systems">Time-Delay Systems</a>,&nbsp;<script data-card-contents-for-ri="51901" type="text/json">{"id":51901,"name":"Time-Delay Systems","url":"https://www.academia.edu/Documents/in/Time-Delay_Systems?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="247214" href="https://www.academia.edu/Documents/in/Mechanical_Testing">Mechanical Testing</a><script data-card-contents-for-ri="247214" type="text/json">{"id":247214,"name":"Mechanical Testing","url":"https://www.academia.edu/Documents/in/Mechanical_Testing?f_ri=33296","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=4607542]'), work: {"id":4607542,"title":"The Role of Surface Preparation Parameters on Cold Roll Bonding of Aluminum Strips","created_at":"2013-09-27T14:37:51.241-07:00","url":"https://www.academia.edu/4607542/The_Role_of_Surface_Preparation_Parameters_on_Cold_Roll_Bonding_of_Aluminum_Strips?f_ri=33296","dom_id":"work_4607542","summary":"It is the objective of this article to investigate the influence of surface preparation on the cold roll bonding (CRB) process. In this context, the effects of surface preparation parameters consisting of surface preparation method, surface roughness, scratch-brushing parameters, and the delay time between surface preparation and rolling are investigated on the bond strength of aluminum strips. The bond strength of two adjacent aluminum strips produced by the CRB process is evaluated by the peeling test. Furthermore, the interface region is investigated by metallographic observations. Our findings indicate that higher surface roughness values and shorter delay times improve the bond strength. It is also found that degreasing followed by scratch-brushing yield the best bonding properties.","downloadable_attachments":[{"id":49758558,"asset_id":4607542,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":5799275,"first_name":"Roohollah","last_name":"Jamaati","domain_name":"iut","page_name":"RoohollahJamaati","display_name":"Roohollah Jamaati","profile_url":"https://iut.academia.edu/RoohollahJamaati?f_ri=33296","photo":"https://0.academia-photos.com/5799275/172988068/162996906/s65_roohollah.jamaati.png"}],"research_interests":[{"id":56,"name":"Materials Engineering","url":"https://www.academia.edu/Documents/in/Materials_Engineering?f_ri=33296","nofollow":false},{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false},{"id":51901,"name":"Time-Delay Systems","url":"https://www.academia.edu/Documents/in/Time-Delay_Systems?f_ri=33296","nofollow":false},{"id":247214,"name":"Mechanical Testing","url":"https://www.academia.edu/Documents/in/Mechanical_Testing?f_ri=33296","nofollow":false},{"id":250371,"name":"Bond Strength","url":"https://www.academia.edu/Documents/in/Bond_Strength?f_ri=33296"},{"id":921637,"name":"Rolling","url":"https://www.academia.edu/Documents/in/Rolling?f_ri=33296"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_72481779" data-work_id="72481779" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/72481779/Experimental_investigation_to_study_the_influence_of_process_parameters_in_dry_machining">Experimental investigation to study the influence of process parameters in dry machining</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Dry machining is a machining process with out coolant, and it has become more popular as a finishing process. Thus, it is especially crucial to select the machining parameters to obtain the desired surface finish of machined component. In... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_72481779" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Dry machining is a machining process with out coolant, and it has become more popular as a finishing process. Thus, it is especially crucial to select the machining parameters to obtain the desired surface finish of machined component. In the present investigation, the influence of process parameters like speed, feed and depth of cut in dry-machining, are studied as surface roughness as the output response variable. The concept of Design of Experiments (DOE) was used for necessary experimentation. En31 bearing steel material was considered in the present study. The experimental results were analyzed statistically to study the influence of process parameters on surface roughness.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/72481779" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="cde92cb804fb02cf7ea0ebd574dbb1ff" rel="nofollow" data-download="{&quot;attachment_id&quot;:81391799,&quot;asset_id&quot;:72481779,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/81391799/download_file?st=MTczMzI2MjMzMyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="145922228" href="https://independent.academia.edu/MvrdPrasad">Mvrd Prasad</a><script data-card-contents-for-user="145922228" type="text/json">{"id":145922228,"first_name":"Mvrd","last_name":"Prasad","domain_name":"independent","page_name":"MvrdPrasad","display_name":"Mvrd Prasad","profile_url":"https://independent.academia.edu/MvrdPrasad?f_ri=33296","photo":"https://0.academia-photos.com/145922228/42854266/34248858/s65_mvrd.prasad.jpg"}</script></span></span></li><li class="js-paper-rank-work_72481779 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="72481779"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 72481779, container: ".js-paper-rank-work_72481779", }); 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$(".js-view-count[data-work-id=72481779]").text(description); $(".js-view-count-work_72481779").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_72481779").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="72481779"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">5</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="48" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>,&nbsp;<script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="33296" href="https://www.academia.edu/Documents/in/Surface_Roughness">Surface Roughness</a>,&nbsp;<script data-card-contents-for-ri="33296" type="text/json">{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="209305" href="https://www.academia.edu/Documents/in/Design_of_experiment">Design of experiment</a>,&nbsp;<script data-card-contents-for-ri="209305" type="text/json">{"id":209305,"name":"Design of experiment","url":"https://www.academia.edu/Documents/in/Design_of_experiment?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="973996" href="https://www.academia.edu/Documents/in/Process_Parameters">Process Parameters</a><script data-card-contents-for-ri="973996" type="text/json">{"id":973996,"name":"Process Parameters","url":"https://www.academia.edu/Documents/in/Process_Parameters?f_ri=33296","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=72481779]'), work: {"id":72481779,"title":"Experimental investigation to study the influence of process parameters in dry machining","created_at":"2022-02-25T19:51:16.509-08:00","url":"https://www.academia.edu/72481779/Experimental_investigation_to_study_the_influence_of_process_parameters_in_dry_machining?f_ri=33296","dom_id":"work_72481779","summary":"Dry machining is a machining process with out coolant, and it has become more popular as a finishing process. Thus, it is especially crucial to select the machining parameters to obtain the desired surface finish of machined component. In the present investigation, the influence of process parameters like speed, feed and depth of cut in dry-machining, are studied as surface roughness as the output response variable. The concept of Design of Experiments (DOE) was used for necessary experimentation. En31 bearing steel material was considered in the present study. The experimental results were analyzed statistically to study the influence of process parameters on surface roughness.","downloadable_attachments":[{"id":81391799,"asset_id":72481779,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":145922228,"first_name":"Mvrd","last_name":"Prasad","domain_name":"independent","page_name":"MvrdPrasad","display_name":"Mvrd Prasad","profile_url":"https://independent.academia.edu/MvrdPrasad?f_ri=33296","photo":"https://0.academia-photos.com/145922228/42854266/34248858/s65_mvrd.prasad.jpg"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=33296","nofollow":false},{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false},{"id":209305,"name":"Design of experiment","url":"https://www.academia.edu/Documents/in/Design_of_experiment?f_ri=33296","nofollow":false},{"id":973996,"name":"Process Parameters","url":"https://www.academia.edu/Documents/in/Process_Parameters?f_ri=33296","nofollow":false},{"id":1233568,"name":"Dry Machining","url":"https://www.academia.edu/Documents/in/Dry_Machining?f_ri=33296"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_69726475" data-work_id="69726475" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/69726475/High_resolution_X_ray_imaging_and_analysis_of_coatings_on_and_in_wood">High-resolution X-ray imaging and analysis of coatings on and in wood</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue 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data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="32723218" href="https://ugent.academia.edu/JorisVanAcker">Joris C R Van Acker</a><script data-card-contents-for-user="32723218" type="text/json">{"id":32723218,"first_name":"Joris","last_name":"Van Acker","domain_name":"ugent","page_name":"JorisVanAcker","display_name":"Joris C R Van Acker","profile_url":"https://ugent.academia.edu/JorisVanAcker?f_ri=33296","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_69726475 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="69726475"><i class="u-m1x fa 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href="https://www.academia.edu/Documents/in/Materials_Engineering">Materials Engineering</a>,&nbsp;<script data-card-contents-for-ri="56" type="text/json">{"id":56,"name":"Materials Engineering","url":"https://www.academia.edu/Documents/in/Materials_Engineering?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="511" href="https://www.academia.edu/Documents/in/Materials_Science">Materials Science</a>,&nbsp;<script data-card-contents-for-ri="511" type="text/json">{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1185" href="https://www.academia.edu/Documents/in/Image_Processing">Image Processing</a>,&nbsp;<script data-card-contents-for-ri="1185" type="text/json">{"id":1185,"name":"Image Processing","url":"https://www.academia.edu/Documents/in/Image_Processing?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10654" href="https://www.academia.edu/Documents/in/X-ray_imaging">X-ray imaging</a><script data-card-contents-for-ri="10654" type="text/json">{"id":10654,"name":"X-ray imaging","url":"https://www.academia.edu/Documents/in/X-ray_imaging?f_ri=33296","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=69726475]'), work: {"id":69726475,"title":"High-resolution X-ray imaging and analysis of coatings on and in wood","created_at":"2022-01-27T23:13:01.722-08:00","url":"https://www.academia.edu/69726475/High_resolution_X_ray_imaging_and_analysis_of_coatings_on_and_in_wood?f_ri=33296","dom_id":"work_69726475","summary":null,"downloadable_attachments":[{"id":79711754,"asset_id":69726475,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":32723218,"first_name":"Joris","last_name":"Van 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Computed Tomography","url":"https://www.academia.edu/Documents/in/X_ray_Computed_Tomography?f_ri=33296"},{"id":1030027,"name":"Softwood","url":"https://www.academia.edu/Documents/in/Softwood?f_ri=33296"},{"id":1188947,"name":"D","url":"https://www.academia.edu/Documents/in/D-351414216?f_ri=33296"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_57326603" data-work_id="57326603" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/57326603/The_Effects_of_Cutting_Speed_and_Depth_of_Cut_on_Machinability_Characteristics_of_Austempered_Ductile_Iron">The Effects of Cutting Speed and Depth of Cut on Machinability Characteristics of Austempered Ductile Iron</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Ductile iron can acquire enhanced thermal and mechanical properties from austempering heat treatment. The present study aims to identify the function of different cutting parameters affecting machinability and to quantify its effects.... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_57326603" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Ductile iron can acquire enhanced thermal and mechanical properties from austempering heat treatment. The present study aims to identify the function of different cutting parameters affecting machinability and to quantify its effects. Turning was performed to test machinability according to the ISO3685-1993 (E) standard. After austenitizing at 900 °C for 90 min, austempered ductile iron (ADI) specimens were quenched in a salt bath at 380 °C for 90 min. The cutting force signals along three directions were measured in real time, whereas flank wear and surface roughness were measured offline. For the cutting parameters, the cutting speed and depth of cut were varied, but the feed rate was kept constant. In the flank wear tests, machining length was corresponded to tool life. In addition, in order to find out the effect of cutting parameters on surface roughness (Ra), tangential force (Ft), and flank wear (VB) during turning, response surface methodology (RSM) was utilized by using exp...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/57326603" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="eb4c6306470a18ca01f79997919e3e49" rel="nofollow" data-download="{&quot;attachment_id&quot;:72282692,&quot;asset_id&quot;:57326603,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/72282692/download_file?st=MTczMzI2MjMzMyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="53956531" href="https://independent.academia.edu/ahmetakdemir3">ahmet akdemir</a><script data-card-contents-for-user="53956531" type="text/json">{"id":53956531,"first_name":"ahmet","last_name":"akdemir","domain_name":"independent","page_name":"ahmetakdemir3","display_name":"ahmet akdemir","profile_url":"https://independent.academia.edu/ahmetakdemir3?f_ri=33296","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_57326603 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="57326603"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 57326603, container: ".js-paper-rank-work_57326603", }); 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The present study aims to identify the function of different cutting parameters affecting machinability and to quantify its effects. Turning was performed to test machinability according to the ISO3685-1993 (E) standard. After austenitizing at 900 °C for 90 min, austempered ductile iron (ADI) specimens were quenched in a salt bath at 380 °C for 90 min. The cutting force signals along three directions were measured in real time, whereas flank wear and surface roughness were measured offline. For the cutting parameters, the cutting speed and depth of cut were varied, but the feed rate was kept constant. In the flank wear tests, machining length was corresponded to tool life. In addition, in order to find out the effect of cutting parameters on surface roughness (Ra), tangential force (Ft), and flank wear (VB) during turning, response surface methodology (RSM) was utilized by using exp...","downloadable_attachments":[{"id":72282692,"asset_id":57326603,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":53956531,"first_name":"ahmet","last_name":"akdemir","domain_name":"independent","page_name":"ahmetakdemir3","display_name":"ahmet akdemir","profile_url":"https://independent.academia.edu/ahmetakdemir3?f_ri=33296","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=33296","nofollow":false},{"id":23008,"name":"Wear","url":"https://www.academia.edu/Documents/in/Wear?f_ri=33296","nofollow":false},{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false},{"id":96825,"name":"Manufacturing Engineering","url":"https://www.academia.edu/Documents/in/Manufacturing_Engineering?f_ri=33296","nofollow":false},{"id":197597,"name":"Cutting","url":"https://www.academia.edu/Documents/in/Cutting?f_ri=33296"},{"id":497482,"name":"Force","url":"https://www.academia.edu/Documents/in/Force?f_ri=33296"},{"id":854334,"name":"Engineering and manufacturing science","url":"https://www.academia.edu/Documents/in/Engineering_and_manufacturing_science?f_ri=33296"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_20638180" data-work_id="20638180" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/20638180/Atmospheric_pressure_barrier_torch_discharge_and_its_optimization_for_flexible_deposition_of_TiO2_thin_coatings_on_various_surfaces">Atmospheric pressure barrier torch discharge and its optimization for flexible deposition of TiO2 thin coatings on various surfaces</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/20638180" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="12643148b76205f2f436e61b98f60d66" rel="nofollow" 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Matter Physics</a>,&nbsp;<script data-card-contents-for-ri="505" type="text/json">{"id":505,"name":"Condensed Matter Physics","url":"https://www.academia.edu/Documents/in/Condensed_Matter_Physics?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="11404" href="https://www.academia.edu/Documents/in/Titanium">Titanium</a>,&nbsp;<script data-card-contents-for-ri="11404" type="text/json">{"id":11404,"name":"Titanium","url":"https://www.academia.edu/Documents/in/Titanium?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="33296" href="https://www.academia.edu/Documents/in/Surface_Roughness">Surface Roughness</a><script data-card-contents-for-ri="33296" type="text/json">{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: 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Screening of the resulting perturbation potential by the channel carriers is taken into... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_6278638" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">A model to study the effect of the roughness at the poly-Si/SiO/sub 2/ interface in silicon inversion layers on the electron mobility is obtained. Screening of the resulting perturbation potential by the channel carriers is taken into account, considering Green&#39;s functions for metal-oxide-semiconductor (MOS) geometry, i.e. taking into account the finite thickness of the gate oxide. Mobility of electrons is evaluated at room temperature by the Monte Carlo method, taking into account the simultaneous contribution of phonon scattering, SiO/sub 2//Si interface roughness scattering, Coulomb scattering and remote surface roughness scattering. The contribution of excited subbands is considered. The resulting remote surface roughness scattering is shown to be strongly dependent on the oxide thickness, and degrades mobility curves at low inversion charge concentrations. The results obtained show that the effect of this scattering mechanism cannot be ignored when the oxide thickness is below 5 nm, (as in actual devices), even when (as is usual) very high doping concentrations are used.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/6278638" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="eda833be9551b6b727b91a2b29bb109c" rel="nofollow" data-download="{&quot;attachment_id&quot;:48934762,&quot;asset_id&quot;:6278638,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48934762/download_file?st=MTczMzI2MjMzMyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9707245" href="https://granada.academia.edu/AndresGodoy">Andres Godoy</a><script data-card-contents-for-user="9707245" type="text/json">{"id":9707245,"first_name":"Andres","last_name":"Godoy","domain_name":"granada","page_name":"AndresGodoy","display_name":"Andres Godoy","profile_url":"https://granada.academia.edu/AndresGodoy?f_ri=33296","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_6278638 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="6278638"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 6278638, container: ".js-paper-rank-work_6278638", }); 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$(".js-view-count[data-work-id=6278638]").text(description); $(".js-view-count-work_6278638").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_6278638").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="6278638"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">3</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="33296" href="https://www.academia.edu/Documents/in/Surface_Roughness">Surface Roughness</a>,&nbsp;<script data-card-contents-for-ri="33296" type="text/json">{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="391252" href="https://www.academia.edu/Documents/in/Room_Temperature">Room Temperature</a>,&nbsp;<script data-card-contents-for-ri="391252" type="text/json">{"id":391252,"name":"Room Temperature","url":"https://www.academia.edu/Documents/in/Room_Temperature?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1333436" href="https://www.academia.edu/Documents/in/Monte_Carlo_Method">Monte Carlo Method</a><script data-card-contents-for-ri="1333436" type="text/json">{"id":1333436,"name":"Monte Carlo Method","url":"https://www.academia.edu/Documents/in/Monte_Carlo_Method?f_ri=33296","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=6278638]'), work: {"id":6278638,"title":"Remote surface roughness scattering in ultrathin-oxide MOSFETs","created_at":"2014-03-03T19:05:39.511-08:00","url":"https://www.academia.edu/6278638/Remote_surface_roughness_scattering_in_ultrathin_oxide_MOSFETs?f_ri=33296","dom_id":"work_6278638","summary":"A model to study the effect of the roughness at the poly-Si/SiO/sub 2/ interface in silicon inversion layers on the electron mobility is obtained. Screening of the resulting perturbation potential by the channel carriers is taken into account, considering Green's functions for metal-oxide-semiconductor (MOS) geometry, i.e. taking into account the finite thickness of the gate oxide. Mobility of electrons is evaluated at room temperature by the Monte Carlo method, taking into account the simultaneous contribution of phonon scattering, SiO/sub 2//Si interface roughness scattering, Coulomb scattering and remote surface roughness scattering. The contribution of excited subbands is considered. The resulting remote surface roughness scattering is shown to be strongly dependent on the oxide thickness, and degrades mobility curves at low inversion charge concentrations. The results obtained show that the effect of this scattering mechanism cannot be ignored when the oxide thickness is below 5 nm, (as in actual devices), even when (as is usual) very high doping concentrations are used.","downloadable_attachments":[{"id":48934762,"asset_id":6278638,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":9707245,"first_name":"Andres","last_name":"Godoy","domain_name":"granada","page_name":"AndresGodoy","display_name":"Andres Godoy","profile_url":"https://granada.academia.edu/AndresGodoy?f_ri=33296","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false},{"id":391252,"name":"Room Temperature","url":"https://www.academia.edu/Documents/in/Room_Temperature?f_ri=33296","nofollow":false},{"id":1333436,"name":"Monte Carlo Method","url":"https://www.academia.edu/Documents/in/Monte_Carlo_Method?f_ri=33296","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_6357381" data-work_id="6357381" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/6357381/Meteorological_and_micrometeorological_applications_to_frost_monitoring_in_northern_Italy_orchards">Meteorological and micrometeorological applications to frost monitoring in northern Italy orchards</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/6357381" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="9891e11d2854dc41d2515758accf942d" rel="nofollow" data-download="{&quot;attachment_id&quot;:48903274,&quot;asset_id&quot;:6357381,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48903274/download_file?st=MTczMzI2MjMzMyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="9928994" href="https://inrc.academia.edu/TeodoroGeorgiadis">Teodoro Georgiadis</a><script data-card-contents-for-user="9928994" type="text/json">{"id":9928994,"first_name":"Teodoro","last_name":"Georgiadis","domain_name":"inrc","page_name":"TeodoroGeorgiadis","display_name":"Teodoro Georgiadis","profile_url":"https://inrc.academia.edu/TeodoroGeorgiadis?f_ri=33296","photo":"https://0.academia-photos.com/9928994/3113024/3664433/s65_teodoro.georgiadis.jpg"}</script></span></span></li><li class="js-paper-rank-work_6357381 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="6357381"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 6357381, container: ".js-paper-rank-work_6357381", }); 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The obtained values of the cavity &#39;implication&#39; factor γ are comparable with those of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_9227575" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The possibility of developing a photochemical setup on the basis of an optically pumped ammonia laser with an intracavity photoreactor is proved. The obtained values of the cavity &#39;implication&#39; factor γ are comparable with those of intracavity systems based on a CO2 laser. The conditions for achieving the maximum energy in the focusing cavity are determined and the ways to control the shape of its caustic are indicated.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/9227575" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="a4d225dd6e8052731971bf9d2038ed6b" rel="nofollow" data-download="{&quot;attachment_id&quot;:47846539,&quot;asset_id&quot;:9227575,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/47846539/download_file?st=MTczMzI2MjMzMyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="21159739" href="https://unisalle.academia.edu/PaulaMendoza">Paula Mendoza</a><script data-card-contents-for-user="21159739" type="text/json">{"id":21159739,"first_name":"Paula","last_name":"Mendoza","domain_name":"unisalle","page_name":"PaulaMendoza","display_name":"Paula Mendoza","profile_url":"https://unisalle.academia.edu/PaulaMendoza?f_ri=33296","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_9227575 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="9227575"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 9227575, container: ".js-paper-rank-work_9227575", }); 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The obtained values of the cavity 'implication' factor γ are comparable with those of intracavity systems based on a CO2 laser. The conditions for achieving the maximum energy in the focusing cavity are determined and the ways to control the shape of its caustic are indicated.","downloadable_attachments":[{"id":47846539,"asset_id":9227575,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21159739,"first_name":"Paula","last_name":"Mendoza","domain_name":"unisalle","page_name":"PaulaMendoza","display_name":"Paula Mendoza","profile_url":"https://unisalle.academia.edu/PaulaMendoza?f_ri=33296","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":505,"name":"Condensed Matter Physics","url":"https://www.academia.edu/Documents/in/Condensed_Matter_Physics?f_ri=33296","nofollow":false},{"id":4135,"name":"Laser","url":"https://www.academia.edu/Documents/in/Laser?f_ri=33296","nofollow":false},{"id":8738,"name":"Atmospheric Aerosols","url":"https://www.academia.edu/Documents/in/Atmospheric_Aerosols?f_ri=33296","nofollow":false},{"id":28677,"name":"Quantum Electronics","url":"https://www.academia.edu/Documents/in/Quantum_Electronics?f_ri=33296","nofollow":false},{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296"},{"id":56001,"name":"X Rays","url":"https://www.academia.edu/Documents/in/X_Rays?f_ri=33296"},{"id":69542,"name":"Computer Simulation","url":"https://www.academia.edu/Documents/in/Computer_Simulation?f_ri=33296"},{"id":213950,"name":"Inverse Problem","url":"https://www.academia.edu/Documents/in/Inverse_Problem?f_ri=33296"},{"id":263152,"name":"Optical physics","url":"https://www.academia.edu/Documents/in/Optical_physics?f_ri=33296"},{"id":321836,"name":"Spectrum","url":"https://www.academia.edu/Documents/in/Spectrum?f_ri=33296"},{"id":396234,"name":"Complexity Analysis","url":"https://www.academia.edu/Documents/in/Complexity_Analysis?f_ri=33296"},{"id":413487,"name":"Design and 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{ new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=9331380]'), work: {"id":9331380,"title":"Effect of electrode gap width in vacuum arc cleaning","created_at":"2014-11-15T22:54:01.439-08:00","url":"https://www.academia.edu/9331380/Effect_of_electrode_gap_width_in_vacuum_arc_cleaning?f_ri=33296","dom_id":"work_9331380","summary":null,"downloadable_attachments":[{"id":47820854,"asset_id":9331380,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":21557628,"first_name":"HIDEYOSHI","last_name":"TAKAHASHI","domain_name":"independent","page_name":"HIDEYOSHITAKAHASHI","display_name":"HIDEYOSHI 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u-pv7x u-mb0x js-work-card work_9507138" data-work_id="9507138" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/9507138/Characterization_Techniques_for_Evaluating_Strained_Si_CMOS_Materials">Characterization Techniques for Evaluating Strained Si CMOS Materials</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The electron and hole mobility of Si complementary metal on oxide field effect transistors (CMOS) can be enhanced by introducing a biaxial tensile stress in the Si channel. This paper outlines several key analytical techniques needed to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_9507138" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The electron and hole mobility of Si complementary metal on oxide field effect transistors (CMOS) can be enhanced by introducing a biaxial tensile stress in the Si channel. This paper outlines several key analytical techniques needed to investigate such layers. Raman scattering is used to measure the strain in the Si channel as well as to map the spatial distribution of strain in Si at a lateral resolution better than 0.5 μm. Atomic force microscopy (AFM) is used to measure the surface roughness. Transmission electron microscopy (TEM) is used to reveal dislocations in the structure, the nature of the dislocations and the propagation of the dislocations. Secondary ion mass spectrometry (SIMS) is used to monitor the Ge content profile in the structure and the thickness of each layer. In the long term, inline nondestructive techniques are desired for epi-monitoring in manufacturing. Two techniques, spectroscopic ellipsometry (SE) and x-ray reflectivity (XRR), have shown promise at this stage.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/9507138" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="18bb5e0b2ba62f5cf05bda4387b4784a" rel="nofollow" data-download="{&quot;attachment_id&quot;:47751053,&quot;asset_id&quot;:9507138,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/47751053/download_file?st=MTczMzI2MjMzMyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="22294275" href="https://independent.academia.edu/BichYenNguyen">Bich-Yen Nguyen</a><script data-card-contents-for-user="22294275" type="text/json">{"id":22294275,"first_name":"Bich-Yen","last_name":"Nguyen","domain_name":"independent","page_name":"BichYenNguyen","display_name":"Bich-Yen Nguyen","profile_url":"https://independent.academia.edu/BichYenNguyen?f_ri=33296","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_9507138 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="9507138"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 9507138, container: ".js-paper-rank-work_9507138", }); 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$(".js-view-count[data-work-id=9507138]").text(description); $(".js-view-count-work_9507138").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_9507138").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="9507138"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">10</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="8674" href="https://www.academia.edu/Documents/in/Secondary_Ion_Mass_Spectrometry">Secondary Ion Mass Spectrometry</a>,&nbsp;<script data-card-contents-for-ri="8674" type="text/json">{"id":8674,"name":"Secondary Ion Mass Spectrometry","url":"https://www.academia.edu/Documents/in/Secondary_Ion_Mass_Spectrometry?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="14076" href="https://www.academia.edu/Documents/in/Transmission_Electron_Microscopy">Transmission Electron Microscopy</a>,&nbsp;<script data-card-contents-for-ri="14076" type="text/json">{"id":14076,"name":"Transmission Electron Microscopy","url":"https://www.academia.edu/Documents/in/Transmission_Electron_Microscopy?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="15125" href="https://www.academia.edu/Documents/in/Semiconductor_Devices">Semiconductor Devices</a>,&nbsp;<script data-card-contents-for-ri="15125" type="text/json">{"id":15125,"name":"Semiconductor Devices","url":"https://www.academia.edu/Documents/in/Semiconductor_Devices?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="24373" href="https://www.academia.edu/Documents/in/Atomic_Force_Microscopy">Atomic Force Microscopy</a><script data-card-contents-for-ri="24373" type="text/json">{"id":24373,"name":"Atomic Force Microscopy","url":"https://www.academia.edu/Documents/in/Atomic_Force_Microscopy?f_ri=33296","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=9507138]'), work: {"id":9507138,"title":"Characterization Techniques for Evaluating Strained Si CMOS Materials","created_at":"2014-11-26T01:57:05.624-08:00","url":"https://www.academia.edu/9507138/Characterization_Techniques_for_Evaluating_Strained_Si_CMOS_Materials?f_ri=33296","dom_id":"work_9507138","summary":"The electron and hole mobility of Si complementary metal on oxide field effect transistors (CMOS) can be enhanced by introducing a biaxial tensile stress in the Si channel. This paper outlines several key analytical techniques needed to investigate such layers. Raman scattering is used to measure the strain in the Si channel as well as to map the spatial distribution of strain in Si at a lateral resolution better than 0.5 μm. Atomic force microscopy (AFM) is used to measure the surface roughness. Transmission electron microscopy (TEM) is used to reveal dislocations in the structure, the nature of the dislocations and the propagation of the dislocations. Secondary ion mass spectrometry (SIMS) is used to monitor the Ge content profile in the structure and the thickness of each layer. In the long term, inline nondestructive techniques are desired for epi-monitoring in manufacturing. Two techniques, spectroscopic ellipsometry (SE) and x-ray reflectivity (XRR), have shown promise at this stage.","downloadable_attachments":[{"id":47751053,"asset_id":9507138,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":22294275,"first_name":"Bich-Yen","last_name":"Nguyen","domain_name":"independent","page_name":"BichYenNguyen","display_name":"Bich-Yen Nguyen","profile_url":"https://independent.academia.edu/BichYenNguyen?f_ri=33296","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":8674,"name":"Secondary Ion Mass Spectrometry","url":"https://www.academia.edu/Documents/in/Secondary_Ion_Mass_Spectrometry?f_ri=33296","nofollow":false},{"id":14076,"name":"Transmission Electron Microscopy","url":"https://www.academia.edu/Documents/in/Transmission_Electron_Microscopy?f_ri=33296","nofollow":false},{"id":15125,"name":"Semiconductor Devices","url":"https://www.academia.edu/Documents/in/Semiconductor_Devices?f_ri=33296","nofollow":false},{"id":24373,"name":"Atomic Force Microscopy","url":"https://www.academia.edu/Documents/in/Atomic_Force_Microscopy?f_ri=33296","nofollow":false},{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296"},{"id":152679,"name":"Dislocations","url":"https://www.academia.edu/Documents/in/Dislocations?f_ri=33296"},{"id":236377,"name":"Spatial Distribution","url":"https://www.academia.edu/Documents/in/Spatial_Distribution?f_ri=33296"},{"id":459201,"name":"Spectroscopic Ellipsometry","url":"https://www.academia.edu/Documents/in/Spectroscopic_Ellipsometry?f_ri=33296"},{"id":648356,"name":"Integrated Circuit","url":"https://www.academia.edu/Documents/in/Integrated_Circuit?f_ri=33296"},{"id":856179,"name":"Raman Scattering","url":"https://www.academia.edu/Documents/in/Raman_Scattering?f_ri=33296"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_26309886" data-work_id="26309886" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/26309886/Relationship_between_surface_properties_roughness_wettability_of_titanium_and_titanium_alloys_and_cell_behaviour">Relationship between surface properties (roughness, wettability) of titanium and titanium alloys and cell behaviour</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/26309886" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="364811bc4da8dc53a294aca316ebe6bf" rel="nofollow" data-download="{&quot;attachment_id&quot;:46623073,&quot;asset_id&quot;:26309886,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/46623073/download_file?st=MTczMzI2MjMzMyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="50232143" href="https://independent.academia.edu/CMartelet">C. 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Methods: Thirty... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_53995975" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Aim: This study aim to investigate the effect of a denture cleanser on hardness, roughness and tensile bond strength of a rigid (Kooliner) and a soft denture liner (Elite Soft) after 7, 60 and 120 days of immersion. Methods: Thirty circular and twenty rectangular specimens of each material were randomly distributed in two groups: control-immersion in artificial saliva at 37 C; and experimental-immersion in artificial saliva at 37ºC combined with immersion in the cleanser for 5 min. Hardness was measured using either a Vickers or Shore A ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/53995975" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="af80aa0790d202a5da43dcd9e5d514a5" rel="nofollow" data-download="{&quot;attachment_id&quot;:70572968,&quot;asset_id&quot;:53995975,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/70572968/download_file?st=MTczMzI2MjMzMyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="691679" href="https://usp-br.academia.edu/Cl%C3%A1udiaSilvaLovato">Cláudia Silva-Lovato</a><script data-card-contents-for-user="691679" type="text/json">{"id":691679,"first_name":"Cláudia","last_name":"Silva-Lovato","domain_name":"usp-br","page_name":"CláudiaSilvaLovato","display_name":"Cláudia Silva-Lovato","profile_url":"https://usp-br.academia.edu/Cl%C3%A1udiaSilvaLovato?f_ri=33296","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_53995975 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="53995975"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 53995975, container: ".js-paper-rank-work_53995975", }); 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js-work-card work_50350090" data-work_id="50350090" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/50350090/Morphological_and_thermal_properties_of_%CE%B2_SnS2_sprayed_thin_films_using_Boubaker_polynomials_expansion">Morphological and thermal properties of β-SnS2 sprayed thin films using Boubaker polynomials expansion</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/50350090" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li 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u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_72967706" data-work_id="72967706" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/72967706/Experimental_Investigations_and_Modeling_of_Drill_Bit_Guided_Abrasive_Flow_Finishing_DBG_AFF_Process">Experimental Investigations and Modeling of Drill Bit-Guided Abrasive Flow Finishing (DBG-AFF) Process</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Abrasive flow finishing (AFF) is one of the widely used advanced finishing processes in which a small quantity of work material is removed by flowing semisolid abrasive-laden putty over the workpiece surface to be finished. AFF is popular... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_72967706" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Abrasive flow finishing (AFF) is one of the widely used advanced finishing processes in which a small quantity of work material is removed by flowing semisolid abrasive-laden putty over the workpiece surface to be finished. 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AFF is popular for finishing ...","downloadable_attachments":[{"id":81677786,"asset_id":72967706,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":32246943,"first_name":"Vimal","last_name":"Jain","domain_name":"independent","page_name":"VimalJain6","display_name":"Vimal Jain","profile_url":"https://independent.academia.edu/VimalJain6?f_ri=33296","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering?f_ri=33296","nofollow":false},{"id":26066,"name":"Neural Network","url":"https://www.academia.edu/Documents/in/Neural_Network?f_ri=33296","nofollow":false},{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences?f_ri=33296","nofollow":false},{"id":123230,"name":"Regression Analysis","url":"https://www.academia.edu/Documents/in/Regression_Analysis?f_ri=33296"},{"id":161176,"name":"The","url":"https://www.academia.edu/Documents/in/The?f_ri=33296"},{"id":206904,"name":"Advanced manufacturing technology","url":"https://www.academia.edu/Documents/in/Advanced_manufacturing_technology?f_ri=33296"},{"id":503866,"name":"Residual Stress","url":"https://www.academia.edu/Documents/in/Residual_Stress?f_ri=33296"},{"id":1211304,"name":"Artificial Neural Network","url":"https://www.academia.edu/Documents/in/Artificial_Neural_Network?f_ri=33296"},{"id":1769725,"name":"Parametric analysis","url":"https://www.academia.edu/Documents/in/Parametric_analysis?f_ri=33296"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_71785798" data-work_id="71785798" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/71785798/Comparative_Evaluations_of_Surface_Roughness_and_Cutting_Forces_During_Hard_Turning_Under_Dry_and_Compressed_Air_Cooling_Medium">Comparative Evaluations of Surface Roughness and Cutting Forces During Hard Turning Under Dry and Compressed Air Cooling Medium</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In this present work, an experimental investigation through mathematical modelling was carried out to study the effects of different cooling mediums and cutting parameters on surface roughness and cutting forces, during the hardturning of... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_71785798" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In this present work, an experimental investigation through mathematical modelling was carried out to study the effects of different cooling mediums and cutting parameters on surface roughness and cutting forces, during the hardturning of hardened AISI 52100 steel ( 60±2) HRC. Experiments were performed using PCBN insert under dry and compressed air cooling medium. Experimental observations indicates that hard turning under compressed air cooled condition produced lower values of surface roughness and cutting forces. However, there is no significant effect of cutting speed on the surface roughness. Compressed air lubrication have proved to be more productive with better surface finish and reduced cutting forces. It has been observed that surface roughness gets affected mostly by feed and not by depth of cut. Cutting forces changing randomly as per change in cutting speed.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/71785798" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="151938390" href="https://vishwakarmapune.academia.edu/SatishChinchanikar">Satish Chinchanikar</a><script data-card-contents-for-user="151938390" type="text/json">{"id":151938390,"first_name":"Satish","last_name":"Chinchanikar","domain_name":"vishwakarmapune","page_name":"SatishChinchanikar","display_name":"Satish Chinchanikar","profile_url":"https://vishwakarmapune.academia.edu/SatishChinchanikar?f_ri=33296","photo":"https://gravatar.com/avatar/b415bfc66f90a05d13cbc306935c04ab?s=65"}</script></span></span></li><li class="js-paper-rank-work_71785798 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="71785798"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 71785798, container: ".js-paper-rank-work_71785798", }); 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$(".js-view-count[data-work-id=71785798]").text(description); $(".js-view-count-work_71785798").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_71785798").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="71785798"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">5</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="511" href="https://www.academia.edu/Documents/in/Materials_Science">Materials Science</a>,&nbsp;<script data-card-contents-for-ri="511" type="text/json">{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="33296" href="https://www.academia.edu/Documents/in/Surface_Roughness">Surface Roughness</a>,&nbsp;<script data-card-contents-for-ri="33296" type="text/json">{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="63055" href="https://www.academia.edu/Documents/in/RSM">RSM</a>,&nbsp;<script data-card-contents-for-ri="63055" type="text/json">{"id":63055,"name":"RSM","url":"https://www.academia.edu/Documents/in/RSM?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="920261" href="https://www.academia.edu/Documents/in/Hard_Turning">Hard Turning</a><script data-card-contents-for-ri="920261" type="text/json">{"id":920261,"name":"Hard Turning","url":"https://www.academia.edu/Documents/in/Hard_Turning?f_ri=33296","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=71785798]'), work: {"id":71785798,"title":"Comparative Evaluations of Surface Roughness and Cutting Forces During Hard Turning Under Dry and Compressed Air Cooling Medium","created_at":"2022-02-17T20:59:33.258-08:00","url":"https://www.academia.edu/71785798/Comparative_Evaluations_of_Surface_Roughness_and_Cutting_Forces_During_Hard_Turning_Under_Dry_and_Compressed_Air_Cooling_Medium?f_ri=33296","dom_id":"work_71785798","summary":"In this present work, an experimental investigation through mathematical modelling was carried out to study the effects of different cooling mediums and cutting parameters on surface roughness and cutting forces, during the hardturning of hardened AISI 52100 steel ( 60±2) HRC. Experiments were performed using PCBN insert under dry and compressed air cooling medium. Experimental observations indicates that hard turning under compressed air cooled condition produced lower values of surface roughness and cutting forces. However, there is no significant effect of cutting speed on the surface roughness. Compressed air lubrication have proved to be more productive with better surface finish and reduced cutting forces. It has been observed that surface roughness gets affected mostly by feed and not by depth of cut. Cutting forces changing randomly as per change in cutting speed.","downloadable_attachments":[],"ordered_authors":[{"id":151938390,"first_name":"Satish","last_name":"Chinchanikar","domain_name":"vishwakarmapune","page_name":"SatishChinchanikar","display_name":"Satish Chinchanikar","profile_url":"https://vishwakarmapune.academia.edu/SatishChinchanikar?f_ri=33296","photo":"https://gravatar.com/avatar/b415bfc66f90a05d13cbc306935c04ab?s=65"}],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science?f_ri=33296","nofollow":false},{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false},{"id":63055,"name":"RSM","url":"https://www.academia.edu/Documents/in/RSM?f_ri=33296","nofollow":false},{"id":920261,"name":"Hard Turning","url":"https://www.academia.edu/Documents/in/Hard_Turning?f_ri=33296","nofollow":false},{"id":925678,"name":"Cutting Forces","url":"https://www.academia.edu/Documents/in/Cutting_Forces?f_ri=33296"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_69269485" data-work_id="69269485" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/69269485/Sem_Edx_XPS_Corrosion_and_Surface_Roughness_Characterization_of_Aisi_316L_SS_After_Electrochemical_Treatment_in_Concentrated_HNO3">Sem/Edx, XPS, Corrosion and Surface Roughness Characterization of Aisi 316L SS After Electrochemical Treatment in Concentrated HNO3</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Original scientific paper In the paper there is described the AISI 316L stainless steel surface obtained after electrochemical treatment in concentrated HNO3. It was characterized by roughness parameters, corrosion protection behaviour... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_69269485" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Original scientific paper In the paper there is described the AISI 316L stainless steel surface obtained after electrochemical treatment in concentrated HNO3. It was characterized by roughness parameters, corrosion protection behaviour and chemical composition of the surface layer. Generally used 2D and 3D roughness parameters describing the surface after the electrochemical treatment are the following: Ra = 0.737 µm and Sa = 1,13 µm as well as Rq = 0,895 µm and Sq = 1,37 µm. In case of corrosion studies the passive current density was equal to 2,3×10 ̶ 2 µA/cm2, pitting potential was equal to Epit = 1140 mV vs. SCE and re-passivation potential was 79 mV vs. SCE. In the surface layer there were detected compounds of iron, chromium, molybdenum, cobalt, manganese, as well as calcium (contamination). The high resolution XPS spectra/results data have shown that most of detected iron compounds can be described as Fe2O3/FeOOH and chromium compounds as Cr2O3/CrOOH. The molybdenum detected ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/69269485" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d46729189a0d302e89016643af690641" rel="nofollow" data-download="{&quot;attachment_id&quot;:79429592,&quot;asset_id&quot;:69269485,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/79429592/download_file?st=MTczMzI2MjMzMyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="114461515" href="https://independent.academia.edu/THryniewicz">Tadeusz Hryniewicz</a><script data-card-contents-for-user="114461515" type="text/json">{"id":114461515,"first_name":"Tadeusz","last_name":"Hryniewicz","domain_name":"independent","page_name":"THryniewicz","display_name":"Tadeusz Hryniewicz","profile_url":"https://independent.academia.edu/THryniewicz?f_ri=33296","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_69269485 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="69269485"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 69269485, container: ".js-paper-rank-work_69269485", }); 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$(".js-view-count[data-work-id=69269485]").text(description); $(".js-view-count-work_69269485").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_69269485").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="69269485"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">5</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="12121" href="https://www.academia.edu/Documents/in/Electrochemical_Treatment">Electrochemical Treatment</a>,&nbsp;<script data-card-contents-for-ri="12121" type="text/json">{"id":12121,"name":"Electrochemical Treatment","url":"https://www.academia.edu/Documents/in/Electrochemical_Treatment?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="33296" href="https://www.academia.edu/Documents/in/Surface_Roughness">Surface Roughness</a>,&nbsp;<script data-card-contents-for-ri="33296" type="text/json">{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="319121" href="https://www.academia.edu/Documents/in/XPS">XPS</a>,&nbsp;<script data-card-contents-for-ri="319121" type="text/json">{"id":319121,"name":"XPS","url":"https://www.academia.edu/Documents/in/XPS?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="643534" href="https://www.academia.edu/Documents/in/HNO">HNO</a><script data-card-contents-for-ri="643534" type="text/json">{"id":643534,"name":"HNO","url":"https://www.academia.edu/Documents/in/HNO?f_ri=33296","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=69269485]'), work: {"id":69269485,"title":"Sem/Edx, XPS, Corrosion and Surface Roughness Characterization of Aisi 316L SS After Electrochemical Treatment in Concentrated HNO3","created_at":"2022-01-23T10:43:53.404-08:00","url":"https://www.academia.edu/69269485/Sem_Edx_XPS_Corrosion_and_Surface_Roughness_Characterization_of_Aisi_316L_SS_After_Electrochemical_Treatment_in_Concentrated_HNO3?f_ri=33296","dom_id":"work_69269485","summary":"Original scientific paper In the paper there is described the AISI 316L stainless steel surface obtained after electrochemical treatment in concentrated HNO3. It was characterized by roughness parameters, corrosion protection behaviour and chemical composition of the surface layer. Generally used 2D and 3D roughness parameters describing the surface after the electrochemical treatment are the following: Ra = 0.737 µm and Sa = 1,13 µm as well as Rq = 0,895 µm and Sq = 1,37 µm. In case of corrosion studies the passive current density was equal to 2,3×10 ̶ 2 µA/cm2, pitting potential was equal to Epit = 1140 mV vs. SCE and re-passivation potential was 79 mV vs. SCE. In the surface layer there were detected compounds of iron, chromium, molybdenum, cobalt, manganese, as well as calcium (contamination). The high resolution XPS spectra/results data have shown that most of detected iron compounds can be described as Fe2O3/FeOOH and chromium compounds as Cr2O3/CrOOH. The molybdenum detected ...","downloadable_attachments":[{"id":79429592,"asset_id":69269485,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":114461515,"first_name":"Tadeusz","last_name":"Hryniewicz","domain_name":"independent","page_name":"THryniewicz","display_name":"Tadeusz Hryniewicz","profile_url":"https://independent.academia.edu/THryniewicz?f_ri=33296","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":12121,"name":"Electrochemical Treatment","url":"https://www.academia.edu/Documents/in/Electrochemical_Treatment?f_ri=33296","nofollow":false},{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false},{"id":319121,"name":"XPS","url":"https://www.academia.edu/Documents/in/XPS?f_ri=33296","nofollow":false},{"id":643534,"name":"HNO","url":"https://www.academia.edu/Documents/in/HNO?f_ri=33296","nofollow":false},{"id":902417,"name":"Corrosion 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u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/45678085/FINITE_ELEMENT_METHOD_FOR_MODELING_OF_REAL_ROUGH_SURFACE">FINITE ELEMENT METHOD FOR MODELING OF REAL ROUGH SURFACE</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The surface geometry of the material is complicated to be determined. Numerical contact simulations of surface roughness are commonly performed by a simple model of asperities, however, most models use broad assumptions to determine the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_45678085" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The surface geometry of the material is complicated to be determined. Numerical contact simulations of surface roughness are commonly performed by a simple model of asperities, however, most models use broad assumptions to determine the shape and size of asperity. This study presents a method for producing deterministic rough surfaces in ABAQUS by pre-processing on SOLIDWORKS using the curved wizard method. Random geometry of real surface roughness and rigid smooth balls was contacted in the simulation using finite element analysis. The outcomes were presented in the contact areas and surface topographic plots. Afterwards, the experimental results were compared to form the surface roughness of the finite element. The simulation results using the curved wizard method showed that the contact area and surface topography were identical to the experimental results on the y-axis at x = 288 m. This technique was combined with the model of real surfaces in ABAQUS, provided the surface roughness that is identical to the real surfaces. The deformed and undeformed topographic results were also identical to the actual experimental results with an error of 4.3%. The contact area that occurs is also the same as the experimental results.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/45678085" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c851017238dcd4a91b15409a531ff0b1" rel="nofollow" data-download="{&quot;attachment_id&quot;:66180404,&quot;asset_id&quot;:45678085,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/66180404/download_file?st=MTczMzI2MjMzMyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="39122404" href="https://iaeme.academia.edu/publication">IAEME Publication</a><script data-card-contents-for-user="39122404" type="text/json">{"id":39122404,"first_name":"IAEME","last_name":"Publication","domain_name":"iaeme","page_name":"publication","display_name":"IAEME Publication","profile_url":"https://iaeme.academia.edu/publication?f_ri=33296","photo":"https://0.academia-photos.com/39122404/12178523/13563629/s65_iaeme.publication.jpg"}</script></span></span></li><li class="js-paper-rank-work_45678085 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="45678085"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 45678085, container: ".js-paper-rank-work_45678085", }); 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Numerical contact simulations of surface roughness are commonly performed by a simple model of asperities, however, most models use broad assumptions to determine the shape and size of asperity. This study presents a method for producing deterministic rough surfaces in ABAQUS by pre-processing on SOLIDWORKS using the curved wizard method. Random geometry of real surface roughness and rigid smooth balls was contacted in the simulation using finite element analysis. The outcomes were presented in the contact areas and surface topographic plots. Afterwards, the experimental results were compared to form the surface roughness of the finite element. The simulation results using the curved wizard method showed that the contact area and surface topography were identical to the experimental results on the y-axis at x = 288 m. This technique was combined with the model of real surfaces in ABAQUS, provided the surface roughness that is identical to the real surfaces. The deformed and undeformed topographic results were also identical to the actual experimental results with an error of 4.3%. The contact area that occurs is also the same as the experimental results.","downloadable_attachments":[{"id":66180404,"asset_id":45678085,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":39122404,"first_name":"IAEME","last_name":"Publication","domain_name":"iaeme","page_name":"publication","display_name":"IAEME Publication","profile_url":"https://iaeme.academia.edu/publication?f_ri=33296","photo":"https://0.academia-photos.com/39122404/12178523/13563629/s65_iaeme.publication.jpg"}],"research_interests":[{"id":23042,"name":"Finite Element","url":"https://www.academia.edu/Documents/in/Finite_Element?f_ri=33296","nofollow":false},{"id":33296,"name":"Surface 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Sahara/Sahel region</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/699274" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c6818eb6215fedb90ccc30b4d22fc824" rel="nofollow" data-download="{&quot;attachment_id&quot;:3929338,&quot;asset_id&quot;:699274,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" 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class="InlineList-item-text" data-has-card-for-ri="2008" href="https://www.academia.edu/Documents/in/Machine_Learning">Machine Learning</a>,&nbsp;<script data-card-contents-for-ri="2008" type="text/json">{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="33296" href="https://www.academia.edu/Documents/in/Surface_Roughness">Surface Roughness</a>,&nbsp;<script data-card-contents-for-ri="33296" type="text/json">{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="80414" href="https://www.academia.edu/Documents/in/Mathematical_Sciences">Mathematical Sciences</a>,&nbsp;<script data-card-contents-for-ri="80414" type="text/json">{"id":80414,"name":"Mathematical 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process","created_at":"2013-09-25T06:52:16.591-07:00","url":"https://www.academia.edu/4583866/Comparison_of_Bayesian_networks_and_artificial_neural_networks_for_quality_detection_in_a_machining_process?f_ri=33296","dom_id":"work_4583866","summary":null,"downloadable_attachments":[{"id":49777115,"asset_id":4583866,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":5752381,"first_name":"Maritza","last_name":"Correa","domain_name":"uao","page_name":"MaritzaCorrea","display_name":"Maritza Correa","profile_url":"https://uao.academia.edu/MaritzaCorrea?f_ri=33296","photo":"https://0.academia-photos.com/5752381/10546676/11770542/s65_maritza.correa.jpg"},{"id":33605072,"first_name":"Concha","last_name":"Bielza","domain_name":"independent","page_name":"ConchaBielza","display_name":"Concha Bielza","profile_url":"https://independent.academia.edu/ConchaBielza?f_ri=33296","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=33296","nofollow":false},{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences?f_ri=33296","nofollow":false},{"id":114361,"name":"High Speed Machining","url":"https://www.academia.edu/Documents/in/High_Speed_Machining?f_ri=33296","nofollow":false},{"id":121035,"name":"Profitability","url":"https://www.academia.edu/Documents/in/Profitability?f_ri=33296"},{"id":190847,"name":"Supervised Classification","url":"https://www.academia.edu/Documents/in/Supervised_Classification?f_ri=33296"},{"id":274599,"name":"Bayesian Network","url":"https://www.academia.edu/Documents/in/Bayesian_Network?f_ri=33296"},{"id":317745,"name":"High Speed","url":"https://www.academia.edu/Documents/in/High_Speed?f_ri=33296"},{"id":329715,"name":"Product Quality","url":"https://www.academia.edu/Documents/in/Product_Quality?f_ri=33296"},{"id":514403,"name":"Experimental Tests","url":"https://www.academia.edu/Documents/in/Experimental_Tests?f_ri=33296"},{"id":703835,"name":"Statistical Test","url":"https://www.academia.edu/Documents/in/Statistical_Test?f_ri=33296"},{"id":1211304,"name":"Artificial Neural Network","url":"https://www.academia.edu/Documents/in/Artificial_Neural_Network?f_ri=33296"},{"id":1548128,"name":"Machine Tool","url":"https://www.academia.edu/Documents/in/Machine_Tool?f_ri=33296"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_7665274 coauthored" data-work_id="7665274" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/7665274/Surface_Finish_Control_in_Machining_Processes_Using_Haralick_Descriptors_and_Neuronal_Networks">Surface Finish Control in Machining Processes Using Haralick Descriptors and Neuronal Networks</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This paper presents a method to perform a surface finish control using a computer vision system. The goal pursued was to design an acceptance criterion for the control of surface roughness of steel parts, dividing them in those with low... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_7665274" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This paper presents a method to perform a surface finish control using a computer vision system. The goal pursued was to design an acceptance criterion for the control of surface roughness of steel parts, dividing them in those with low roughness - acceptable class - and those with high roughness - defective class. We have used 143 images obtained from AISI 303 stainless steel machining. Images were described using three different methods - texture local filters, the first four Haralick descriptors from the gray-level co-occurrence matrix and a 20 features vector obtained from the first subband of a wavelet transform of the original image and also the gray-level original image. Classification was conducted using K-nn and Neuronal Networks. The best error rate - 4.0% - with k-nn was achieved using texture descriptors. With the neuronal network, an eight node hidden layer network using Haralick descriptors leads to the optimal configuration - 0.0% error rate.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/7665274" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="24ce7fa5326525b0c913bbadd6f4c6a1" rel="nofollow" data-download="{&quot;attachment_id&quot;:48378520,&quot;asset_id&quot;:7665274,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48378520/download_file?st=MTczMzI2MjMzMyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="36797785" href="https://independent.academia.edu/EduardoFidalgo">Eduardo Fidalgo</a><script data-card-contents-for-user="36797785" type="text/json">{"id":36797785,"first_name":"Eduardo","last_name":"Fidalgo","domain_name":"independent","page_name":"EduardoFidalgo","display_name":"Eduardo Fidalgo","profile_url":"https://independent.academia.edu/EduardoFidalgo?f_ri=33296","photo":"https://0.academia-photos.com/36797785/146494188/136036616/s65_eduardo.fidalgo.jpeg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text">&nbsp;and&nbsp;<span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-7665274">+3</span><div class="hidden js-additional-users-7665274"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://universidaddeleon.academia.edu/EnriqueAlegre">Enrique Alegre</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/Roc%C3%ADoAlaizrodr%C3%ADguez">Rocío Alaiz-rodríguez</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/DAblanedo">D. 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The goal pursued was to design an acceptance criterion for the control of surface roughness of steel parts, dividing them in those with low roughness - acceptable class - and those with high roughness - defective class. We have used 143 images obtained from AISI 303 stainless steel machining. Images were described using three different methods - texture local filters, the first four Haralick descriptors from the gray-level co-occurrence matrix and a 20 features vector obtained from the first subband of a wavelet transform of the original image and also the gray-level original image. Classification was conducted using K-nn and Neuronal Networks. The best error rate - 4.0% - with k-nn was achieved using texture descriptors. With the neuronal network, an eight node hidden layer network using Haralick descriptors leads to the optimal configuration - 0.0% error rate.","downloadable_attachments":[{"id":48378520,"asset_id":7665274,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":36797785,"first_name":"Eduardo","last_name":"Fidalgo","domain_name":"independent","page_name":"EduardoFidalgo","display_name":"Eduardo Fidalgo","profile_url":"https://independent.academia.edu/EduardoFidalgo?f_ri=33296","photo":"https://0.academia-photos.com/36797785/146494188/136036616/s65_eduardo.fidalgo.jpeg"},{"id":13916453,"first_name":"Enrique","last_name":"Alegre","domain_name":"universidaddeleon","page_name":"EnriqueAlegre","display_name":"Enrique Alegre","profile_url":"https://universidaddeleon.academia.edu/EnriqueAlegre?f_ri=33296","photo":"https://0.academia-photos.com/13916453/12772117/14199478/s65_enrique.alegre.jpg"},{"id":36881481,"first_name":"Rocío","last_name":"Alaiz-rodríguez","domain_name":"independent","page_name":"RocíoAlaizrodríguez","display_name":"Rocío Alaiz-rodríguez","profile_url":"https://independent.academia.edu/Roc%C3%ADoAlaizrodr%C3%ADguez?f_ri=33296","photo":"/images/s65_no_pic.png"},{"id":46992575,"first_name":"D.","last_name":"Ablanedo","domain_name":"independent","page_name":"DAblanedo","display_name":"D. 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Rate","url":"https://www.academia.edu/Documents/in/Bit_Error_Rate?f_ri=33296"},{"id":464260,"name":"Gray Level Co-occurrence Matrix","url":"https://www.academia.edu/Documents/in/Gray_Level_Co-occurrence_Matrix?f_ri=33296"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_22902428" data-work_id="22902428" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/22902428/Subsurface_ice_on_Mars_with_rough_topography">Subsurface ice on Mars with rough topography</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" 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class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="44593921" href="https://independent.academia.edu/OdedAharonson">Oded Aharonson</a><script data-card-contents-for-user="44593921" type="text/json">{"id":44593921,"first_name":"Oded","last_name":"Aharonson","domain_name":"independent","page_name":"OdedAharonson","display_name":"Oded Aharonson","profile_url":"https://independent.academia.edu/OdedAharonson?f_ri=33296","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_22902428 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="22902428"><i class="u-m1x fa fa-bar-chart"></i><strong 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One of the promising solutions that appeared lately is minimum quantity lubrication (MQL). This research aimed to develop an... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_68840914" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Recently all environmental worries are calling for reducing the usage of fluids in machining operations. One of the promising solutions that appeared lately is minimum quantity lubrication (MQL). This research aimed to develop an eco-friendly cooling system for a lathe machine and assess its performance. After considering the customer needs, the needs were translated into engineering specifications in the conceptual design phase, and then the quality function deployment was developed. Three concepts were generated and evaluated considering the selection criteria, and a final concept was selected using the decision matrix method. Following this, a detailed design and fabrication of the subsystems such as the oil tank and a structure accommodate all the components. The developed system was tested on six different workpiece samples to compare the MQL system with the conventional one. In general, the MQL system resulted in lower surface roughness values as well as lower tool wear.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/68840914" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3ba47337351f4468fb917544e68f16b2" rel="nofollow" data-download="{&quot;attachment_id&quot;:79171716,&quot;asset_id&quot;:68840914,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/79171716/download_file?st=MTczMzI2MjMzMyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="212598935" href="https://independent.academia.edu/ZealPress">Zeal Press</a><script data-card-contents-for-user="212598935" type="text/json">{"id":212598935,"first_name":"Zeal","last_name":"Press","domain_name":"independent","page_name":"ZealPress","display_name":"Zeal Press","profile_url":"https://independent.academia.edu/ZealPress?f_ri=33296","photo":"https://0.academia-photos.com/212598935/71752590/60203950/s65_zeal.press.png"}</script></span></span></li><li class="js-paper-rank-work_68840914 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="68840914"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 68840914, container: ".js-paper-rank-work_68840914", }); 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$(".js-view-count[data-work-id=68840914]").text(description); $(".js-view-count-work_68840914").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_68840914").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="68840914"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">6</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="12789" href="https://www.academia.edu/Documents/in/Machining">Machining</a>,&nbsp;<script data-card-contents-for-ri="12789" type="text/json">{"id":12789,"name":"Machining","url":"https://www.academia.edu/Documents/in/Machining?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="33296" href="https://www.academia.edu/Documents/in/Surface_Roughness">Surface Roughness</a>,&nbsp;<script data-card-contents-for-ri="33296" type="text/json">{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="52056" href="https://www.academia.edu/Documents/in/Vegetable_Oils">Vegetable Oils</a>,&nbsp;<script data-card-contents-for-ri="52056" type="text/json">{"id":52056,"name":"Vegetable Oils","url":"https://www.academia.edu/Documents/in/Vegetable_Oils?f_ri=33296","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="102115" href="https://www.academia.edu/Documents/in/Tool_wear">Tool wear</a><script data-card-contents-for-ri="102115" type="text/json">{"id":102115,"name":"Tool wear","url":"https://www.academia.edu/Documents/in/Tool_wear?f_ri=33296","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=68840914]'), work: {"id":68840914,"title":"Development of a Low Cost Eco-Friendly Minimum Quantity Lubrication System for Machining Processes","created_at":"2022-01-20T07:39:22.004-08:00","url":"https://www.academia.edu/68840914/Development_of_a_Low_Cost_Eco_Friendly_Minimum_Quantity_Lubrication_System_for_Machining_Processes?f_ri=33296","dom_id":"work_68840914","summary":"Recently all environmental worries are calling for reducing the usage of fluids in machining operations. One of the promising solutions that appeared lately is minimum quantity lubrication (MQL). This research aimed to develop an eco-friendly cooling system for a lathe machine and assess its performance. After considering the customer needs, the needs were translated into engineering specifications in the conceptual design phase, and then the quality function deployment was developed. Three concepts were generated and evaluated considering the selection criteria, and a final concept was selected using the decision matrix method. Following this, a detailed design and fabrication of the subsystems such as the oil tank and a structure accommodate all the components. The developed system was tested on six different workpiece samples to compare the MQL system with the conventional one. In general, the MQL system resulted in lower surface roughness values as well as lower tool wear.","downloadable_attachments":[{"id":79171716,"asset_id":68840914,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":212598935,"first_name":"Zeal","last_name":"Press","domain_name":"independent","page_name":"ZealPress","display_name":"Zeal Press","profile_url":"https://independent.academia.edu/ZealPress?f_ri=33296","photo":"https://0.academia-photos.com/212598935/71752590/60203950/s65_zeal.press.png"}],"research_interests":[{"id":12789,"name":"Machining","url":"https://www.academia.edu/Documents/in/Machining?f_ri=33296","nofollow":false},{"id":33296,"name":"Surface Roughness","url":"https://www.academia.edu/Documents/in/Surface_Roughness?f_ri=33296","nofollow":false},{"id":52056,"name":"Vegetable Oils","url":"https://www.academia.edu/Documents/in/Vegetable_Oils?f_ri=33296","nofollow":false},{"id":102115,"name":"Tool 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