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parameters</title> <meta name="description" content="Search results for: machining parameters"> <meta name="keywords" content="machining parameters"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="machining parameters"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 8896</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: machining parameters</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8896</span> An Experimental Study on Ultrasonic Machining of Pure Titanium Using Full Factorial Design</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jatinder%20Kumar">Jatinder Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ultrasonic machining is one of the most widely used non-traditional machining processes for machining of materials that are relatively brittle, hard and fragile such as advanced ceramics, refractories, crystals, quartz etc. There is a considerable lack of research on its application to the cost-effective machining of tough materials such as titanium. In this investigation, the application of USM process for machining of titanium (ASTM Grade-I) has been explored. Experiments have been conducted to assess the effect of different parameters of USM process on machining rate and tool wear rate as response characteristics. The process parameters that were included in this study are: abrasive grit size, tool material and power rating of the ultrasonic machine. It has been concluded that titanium is fairly machinable with USM process. Significant improvement in the machining rate can be realized by manipulating the process parameters and obtaining the optimum combination of these parameters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=abrasive%20grit%20size" title="abrasive grit size">abrasive grit size</a>, <a href="https://publications.waset.org/abstracts/search?q=tool%20material" title=" tool material"> tool material</a>, <a href="https://publications.waset.org/abstracts/search?q=titanium" title=" titanium"> titanium</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrasonic%20machining" title=" ultrasonic machining"> ultrasonic machining</a> </p> <a href="https://publications.waset.org/abstracts/4089/an-experimental-study-on-ultrasonic-machining-of-pure-titanium-using-full-factorial-design" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/4089.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">359</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8895</span> Influence of Machining Process on Surface Integrity of Plasma Coating</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20Zl%C3%A1mal">T. Zlámal</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Petr%C5%AF"> J. Petrů</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Pag%C3%A1%C4%8D"> M. Pagáč</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Krajkovi%C4%8D"> P. Krajkovič</a> </p> <p class="card-text"><strong>Abstract:</strong></p> For the required function of components with the thermal spray coating, it is necessary to perform additional machining of the coated surface. The paper deals with assessing the surface integrity of Metco 2042, a plasma sprayed coating, after its machining. The selected plasma sprayed coating serves as an abradable sealing coating in a jet engine. Therefore, the spray and its surface must meet high quality and functional requirements. Plasma sprayed coatings are characterized by lamellar structure, which requires a special approach to their machining. Therefore, the experimental part involves the set-up of special cutting tools and cutting parameters under which the applied coating was machined. For the assessment of suitably set machining parameters, selected parameters of surface integrity were measured and evaluated during the experiment. To determine the size of surface irregularities and the effect of the selected machining technology on the sprayed coating surface, the surface roughness parameters Ra and Rz were measured. Furthermore, the measurement of sprayed coating surface hardness by the HR 15 Y method before and after machining process was used to determine the surface strengthening. The changes of strengthening were detected after the machining. The impact of chosen cutting parameters on the surface roughness after the machining was not proven. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machining" title="machining">machining</a>, <a href="https://publications.waset.org/abstracts/search?q=plasma%20sprayed%20coating" title=" plasma sprayed coating"> plasma sprayed coating</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20integrity" title=" surface integrity"> surface integrity</a>, <a href="https://publications.waset.org/abstracts/search?q=strengthening" title=" strengthening"> strengthening</a> </p> <a href="https://publications.waset.org/abstracts/85489/influence-of-machining-process-on-surface-integrity-of-plasma-coating" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85489.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">266</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8894</span> Auto-Tuning of CNC Parameters According to the Machining Mode Selection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jenq-Shyong%20Chen">Jenq-Shyong Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Ben-Fong%20Yu"> Ben-Fong Yu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> CNC(computer numerical control) machining centers have been widely used for machining different metal components for various industries. For a specific CNC machine, its everyday job is assigned to cut different products with quite different attributes such as material type, workpiece weight, geometry, tooling, and cutting conditions. Theoretically, the dynamic characteristics of the CNC machine should be properly tuned match each machining job in order to get the optimal machining performance. However, most of the CNC machines are set with only a standard set of CNC parameters. In this study, we have developed an auto-tuning system which can automatically change the CNC parameters and in hence change the machine dynamic characteristics according to the selection of machining modes which are set by the mixed combination of three machine performance indexes: the HO (high surface quality) index, HP (high precision) index and HS (high speed) index. The acceleration, jerk, corner error tolerance, oscillation and dynamic bandwidth of machine’s feed axes have been changed according to the selection of the machine performance indexes. The proposed auto-tuning system of the CNC parameters has been implemented on a PC-based CNC controller and a three-axis machining center. The measured experimental result have shown the promising of our proposed auto-tuning system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=auto-tuning" title="auto-tuning">auto-tuning</a>, <a href="https://publications.waset.org/abstracts/search?q=CNC%20parameters" title=" CNC parameters"> CNC parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=machining%20mode" title=" machining mode"> machining mode</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20speed" title=" high speed"> high speed</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20accuracy" title=" high accuracy"> high accuracy</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20surface%20quality" title=" high surface quality"> high surface quality</a> </p> <a href="https://publications.waset.org/abstracts/26213/auto-tuning-of-cnc-parameters-according-to-the-machining-mode-selection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26213.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">380</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8893</span> Cryogenic Machining of Sawdust Incorporated Polypropylene Composites</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20N.%20Umesh">K. N. Umesh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wood Polymer Composites (WPC) were synthesized artificially by combining polypropylene, wood and resin. It is difficult to obtain a good surface finish by conventional machining on WPC because of material degradation due to excessive heat generated during the process. In order to preserve the material property and deliver a better surface finish and accuracy, a proper solution is devised for the machining of wood composites at low temperature. This research focuses on studying the effects of parameters of cryogenic machining on sawdust incorporated polypropylene composite material, in view of evolving the most suitable composition and an appropriate combination of process parameters. The machining characteristics of the six different compositions of WPC were evaluated by analyzing the trend. An attempt is made to determine proper combinations material composition and process control parameters, through process capability studies. A WPC of 80%-wood (saw dust particles), 20%-polypropylene and 0%-resin was found to be the best alternative for obtaining the best surface finish under cryogenic machining conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cryogenic%20Machining" title="Cryogenic Machining">Cryogenic Machining</a>, <a href="https://publications.waset.org/abstracts/search?q=Process%20Capability" title=" Process Capability"> Process Capability</a>, <a href="https://publications.waset.org/abstracts/search?q=Surface%20Finish" title=" Surface Finish"> Surface Finish</a>, <a href="https://publications.waset.org/abstracts/search?q=Wood%20Polymer%20Composites" title=" Wood Polymer Composites"> Wood Polymer Composites</a> </p> <a href="https://publications.waset.org/abstracts/47251/cryogenic-machining-of-sawdust-incorporated-polypropylene-composites" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47251.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">249</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8892</span> Optimizing of Machining Parameters of Plastic Material Using Taguchi Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jumazulhisham%20Abdul%20Shukor">Jumazulhisham Abdul Shukor</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohd.%20Sazali%20Said"> Mohd. Sazali Said</a>, <a href="https://publications.waset.org/abstracts/search?q=Roshanizah%20Harun"> Roshanizah Harun</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuib%20Husin"> Shuib Husin</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Razlee%20Ab%20Kadir"> Ahmad Razlee Ab Kadir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper applies Taguchi Optimization Method in determining the best machining parameters for pocket milling process on Polypropylene (PP) using CNC milling machine where the surface roughness is considered and the Carbide inserts cutting tool are used. Three machining parameters; speed, feed rate and depth of cut are investigated along three levels; low, medium and high of each parameter (Taguchi Orthogonal Arrays). The setting of machining parameters were determined by using Taguchi Method and the Signal-to-Noise (S/N) ratio are assessed to define the optimal levels and to predict the effect of surface roughness with assigned parameters based on L9. The final experimental outcomes are presented to prove the optimization parameters recommended by manufacturer are accurate. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inserts" title="inserts">inserts</a>, <a href="https://publications.waset.org/abstracts/search?q=milling%20process" title=" milling process"> milling process</a>, <a href="https://publications.waset.org/abstracts/search?q=signal-to-noise%20%28S%2FN%29%20ratio" title=" signal-to-noise (S/N) ratio"> signal-to-noise (S/N) ratio</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20roughness" title=" surface roughness"> surface roughness</a>, <a href="https://publications.waset.org/abstracts/search?q=Taguchi%20Optimization%20Method" title=" Taguchi Optimization Method"> Taguchi Optimization Method</a> </p> <a href="https://publications.waset.org/abstracts/18108/optimizing-of-machining-parameters-of-plastic-material-using-taguchi-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18108.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">637</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8891</span> Axiomatic Design of Laser Beam Machining Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nikhil%20Deshpande">Nikhil Deshpande</a>, <a href="https://publications.waset.org/abstracts/search?q=Rahul%20Mahajan"> Rahul Mahajan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Laser Beam Machining (LBM) is a non-traditional machining process that has inherent problems like dross, striation, and Heat Affected Zone (HAZ) which reduce the quality of machining. In the present day scenario, these problems are controlled only by iteratively adjusting a large number of process parameters. This paper applies Axiomatic Design principles to design LBM process so as to eliminate the problem of dross and striation and minimize the effect of HAZ. Process parameters and their ranges are proposed to set-up the LBM process, execute the cut and finish the workpiece so as to obtain the best quality cut. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=laser%20beam%20machining" title="laser beam machining">laser beam machining</a>, <a href="https://publications.waset.org/abstracts/search?q=dross" title=" dross"> dross</a>, <a href="https://publications.waset.org/abstracts/search?q=striation" title=" striation"> striation</a>, <a href="https://publications.waset.org/abstracts/search?q=heat%20affected%20zone" title=" heat affected zone"> heat affected zone</a>, <a href="https://publications.waset.org/abstracts/search?q=axiomatic%20design" title=" axiomatic design"> axiomatic design</a> </p> <a href="https://publications.waset.org/abstracts/64156/axiomatic-design-of-laser-beam-machining-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64156.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">370</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8890</span> Efficient Prediction of Surface Roughness Using Box Behnken Design</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ajay%20Kumar%20Sarathe">Ajay Kumar Sarathe</a>, <a href="https://publications.waset.org/abstracts/search?q=Abhinay%20Kumar"> Abhinay Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Production of quality products required for specific engineering applications is an important issue. The roughness of the surface plays an important role in the quality of the product by using appropriate machining parameters to eliminate wastage due to over machining. To increase the quality of the surface, the optimum machining parameter setting is crucial during the machining operation. The effect of key machining parameters- spindle speed, feed rate, and depth of cut on surface roughness has been evaluated. Experimental work was carried out using High Speed Steel tool and AlSI 1018 as workpiece material. In this study, the predictive model has been developed using Box-Behnken Design. An experimental investigation has been carried out for this work using BBD for three factors and observed that the predictive model of Ra value is closed to predictive value with a marginal error of 2.8648 %. Developed model establishes a correlation between selected key machining parameters that influence the surface roughness in a AISI 1018. F <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ANOVA" title="ANOVA">ANOVA</a>, <a href="https://publications.waset.org/abstracts/search?q=BBD" title=" BBD"> BBD</a>, <a href="https://publications.waset.org/abstracts/search?q=optimisation" title=" optimisation"> optimisation</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20methodology" title=" response surface methodology"> response surface methodology</a> </p> <a href="https://publications.waset.org/abstracts/90006/efficient-prediction-of-surface-roughness-using-box-behnken-design" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90006.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">159</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8889</span> Study of Tool Shape during Electrical Discharge Machining of AISI 52100 Steel</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arminder%20Singh%20Walia">Arminder Singh Walia</a>, <a href="https://publications.waset.org/abstracts/search?q=Vineet%20Srivastava"> Vineet Srivastava</a>, <a href="https://publications.waset.org/abstracts/search?q=Vivek%20Jain"> Vivek Jain</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Electrical Discharge Machining (EDM) operations, the workpiece confers to the shape of the tool. Further, the cost of the tool contributes the maximum effect on total operation cost. Therefore, the shape and profile of the tool become highly significant. Thus, in this work, an attempt has been made to study the effect of process parameters on the shape of the tool. Copper has been used as the tool material for the machining of AISI 52100 die steel. The shape of the tool has been evaluated by determining the difference in out of roundness of tool before and after machining. Statistical model has been developed and significant process parameters have been identified which affect the shape of the tool. Optimum process parameters have been identified which minimizes the shape distortion. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=discharge%20current" title="discharge current">discharge current</a>, <a href="https://publications.waset.org/abstracts/search?q=flushing%20pressure" title=" flushing pressure"> flushing pressure</a>, <a href="https://publications.waset.org/abstracts/search?q=pulse-on%20time" title=" pulse-on time"> pulse-on time</a>, <a href="https://publications.waset.org/abstracts/search?q=pulse-off%20time" title=" pulse-off time"> pulse-off time</a>, <a href="https://publications.waset.org/abstracts/search?q=out%20of%20roundness" title=" out of roundness"> out of roundness</a>, <a href="https://publications.waset.org/abstracts/search?q=electrical%20discharge%20machining" title=" electrical discharge machining"> electrical discharge machining</a> </p> <a href="https://publications.waset.org/abstracts/89159/study-of-tool-shape-during-electrical-discharge-machining-of-aisi-52100-steel" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89159.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">285</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8888</span> Optimizing of the Micro EDM Parameters in Drilling of Titanium Ti-6Al-4V Alloy for Higher Machining Accuracy-Fuzzy Modelling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20A.%20D.%20Sarhan">Ahmed A. D. Sarhan</a>, <a href="https://publications.waset.org/abstracts/search?q=Mum%20Wai%20Yip"> Mum Wai Yip</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Sayuti"> M. Sayuti</a>, <a href="https://publications.waset.org/abstracts/search?q=Lim%20Siew%20Fen"> Lim Siew Fen </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ti6Al4V alloy is highly used in the automotive and aerospace industry due to its good machining characteristics. Micro EDM drilling is commonly used to drill micro hole on extremely hard material with very high depth to diameter ratio. In this study, the parameters of micro-electrical discharge machining (EDM) in drilling of Ti6Al4V alloy is optimized for higher machining accuracy with less hole-dilation and hole taper ratio. The micro-EDM machining parameters includes, peak current and pulse on time. Fuzzy analysis was developed to evaluate the machining accuracy. The analysis shows that hole-dilation and hole-taper ratio are increased with the increasing of peak current and pulse on time. However, the surface quality deteriorates as the peak current and pulse on time increase. The combination that gives the optimum result for hole dilation is medium peak current and short pulse on time. Meanwhile, the optimum result for hole taper ratio is low peak current and short pulse on time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Micro%20EDM" title="Micro EDM">Micro EDM</a>, <a href="https://publications.waset.org/abstracts/search?q=Ti-6Al-4V%20alloy" title=" Ti-6Al-4V alloy"> Ti-6Al-4V alloy</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20based%20analysis" title=" fuzzy logic based analysis"> fuzzy logic based analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=machining%20accuracy" title=" machining accuracy"> machining accuracy</a> </p> <a href="https://publications.waset.org/abstracts/21772/optimizing-of-the-micro-edm-parameters-in-drilling-of-titanium-ti-6al-4v-alloy-for-higher-machining-accuracy-fuzzy-modelling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21772.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">496</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8887</span> An Experimental Study on the Effect of Operating Parameters during the Micro-Electro-Discharge Machining of Ni Based Alloy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Asma%20Perveen">Asma Perveen</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20P.%20Jahan"> M. P. Jahan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ni alloys have managed to cover wide range of applications such as automotive industries, oil gas industries, and aerospace industries. However, these alloys impose challenges while using conventional machining technologies. On the other hand, Micro-Electro-Discharge machining (micro-EDM) is a non-conventional machining method that uses controlled sparks energy to remove material irrespective of the materials hardness. There has been always a huge interest from the industries for developing optimum methodology and parameters in order to enhance the productivity of micro-EDM in terms of reducing machining time and tool wear for different alloys. Therefore, the aims of this study are to investigate the effects of the micro-EDM process parameters, in order to find their optimal values. The input process parameters include voltage, capacitance, and electrode rotational speed, whereas the output parameters considered are machining time, entrance diameter of hole, overcut, tool wear, and crater size. The surface morphology and element characterization are also investigated with the use of SEM and EDX analysis. The experimental result indicates the reduction of machining time with the increment of discharge energy. Discharge energy also contributes to the enlargement of entrance diameter as well as overcut. In addition, tool wears show reduction with the increase of discharge energy. Moreover, crater size is found to be increased in size along with the increment of discharge energy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=micro%20holes" title="micro holes">micro holes</a>, <a href="https://publications.waset.org/abstracts/search?q=micro%20EDM" title=" micro EDM"> micro EDM</a>, <a href="https://publications.waset.org/abstracts/search?q=Ni%20Alloy" title=" Ni Alloy"> Ni Alloy</a>, <a href="https://publications.waset.org/abstracts/search?q=discharge%20energy" title=" discharge energy"> discharge energy</a> </p> <a href="https://publications.waset.org/abstracts/56332/an-experimental-study-on-the-effect-of-operating-parameters-during-the-micro-electro-discharge-machining-of-ni-based-alloy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56332.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">274</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8886</span> Optimization of Electrical Discharge Machining Parameters in Machining AISI D3 Tool Steel by Grey Relational Analysis </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Othman%20Mohamed%20Altheni">Othman Mohamed Altheni</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdurrahman%20Abusaada"> Abdurrahman Abusaada</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study presents optimization of multiple performance characteristics [material removal rate (MRR), surface roughness (Ra), and overcut (OC)] of hardened AISI D3 tool steel in electrical discharge machining (EDM) using Taguchi method and Grey relational analysis. Machining process parameters selected were pulsed current Ip, pulse-on time Ton, pulse-off time Toff and gap voltage Vg. Based on ANOVA, pulse current is found to be the most significant factor affecting EDM process. Optimized process parameters are simultaneously leading to a higher MRR, lower Ra, and lower OC are then verified through a confirmation experiment. Validation experiment shows an improved MRR, Ra and OC when Taguchi method and grey relational analysis were used <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=edm%20parameters" title="edm parameters">edm parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=grey%20relational%20analysis" title=" grey relational analysis"> grey relational analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=Taguchi%20method" title=" Taguchi method"> Taguchi method</a>, <a href="https://publications.waset.org/abstracts/search?q=ANOVA" title=" ANOVA"> ANOVA</a> </p> <a href="https://publications.waset.org/abstracts/52166/optimization-of-electrical-discharge-machining-parameters-in-machining-aisi-d3-tool-steel-by-grey-relational-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52166.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">294</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8885</span> Ultra-High Precision Diamond Turning of Infrared Lenses</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khaled%20Abou-El-Hossein">Khaled Abou-El-Hossein</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The presentation will address the features of two IR convex lenses that have been manufactured using an ultra-high precision machining centre based on single-point diamond turning. The lenses are made from silicon and germanium with a radius of curvature of 500 mm. Because of the brittle nature of silicon and germanium, machining parameters were selected in such a way that ductile regime was achieved. The cutting speed was 800 rpm while the feed rate and depth cut were 20 mm/min and 20 um, respectively. Although both materials comprise a mono-crystalline microstructure and are quite similar in terms of optical properties, machining of silicon was accompanied with more difficulties in terms of form accuracy compared to germanium machining. The P-V error of the silicon profile was 0.222 um while it was only 0.055 um for the germanium lens. This could be attributed to the accelerated wear that takes place on the tool edge when turning mono-crystalline silicon. Currently, we are using other ranges of the machining parameters in order to determine their optimal range that could yield satisfactory performance in terms of form accuracy when fabricating silicon lenses. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diamond%20turning" title="diamond turning">diamond turning</a>, <a href="https://publications.waset.org/abstracts/search?q=optical%20surfaces" title=" optical surfaces"> optical surfaces</a>, <a href="https://publications.waset.org/abstracts/search?q=precision%20machining" title=" precision machining"> precision machining</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20roughness" title=" surface roughness"> surface roughness</a> </p> <a href="https://publications.waset.org/abstracts/61253/ultra-high-precision-diamond-turning-of-infrared-lenses" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61253.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">317</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8884</span> Parametric Investigation of Wire-Cut Electric Discharge Machining on Steel ST-37</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mearg%20Berhe%20Gebregziabher">Mearg Berhe Gebregziabher</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wire-cut electric discharge machining (WEDM) is one of the advanced machining processes. Due to the development of the current manufacturing sector, there has been no research work done before about the optimization of the process parameters based on the availability of the workpiece of the Steel St-37 material in Ethiopia. Material Removal Rate (MRR) is considered as the experimental response of WCEDM. The main objective of this work is to investigate and optimize the process parameters on machining quality that gives high MRR during machining of Steel St-37. Throughout the investigation, Pulse on Time (TON), Pulse off Time (TOFF) and Velocities of Wire Feed (WR) are used as variable parameters at three different levels, and Wire tension, flow rate, type of dielectric fluid, type of the workpiece and wire material and dielectric flow rate are keeping as constants for each experiment. The Taguchi methodology, as per Taguchi‟ 's standard L9 (3^3) Orthogonal Array (OA), has been carried out to investigate their effects and to predict the optimal combination of process parameters over MRR. Signal to Noise ratio (S/N) and Analysis of Variance (ANOVA) were used to analyze the effect of the parameters and to identify the optimum cutting parameters on MRR. MRR was measured by using the Electronic Balance Model SI-32. The results indicated that the most significant factors for MRR are TOFF, TON and lastly WR. Taguchi analysis shows that, the optimal process parameters combination is A2B2C2, i.e., TON 6μs, TOFF 29μs and WR 2 m/min. At this level, the MRR of 0.414 gram/min has been achieved. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ANOVA" title="ANOVA">ANOVA</a>, <a href="https://publications.waset.org/abstracts/search?q=MRR" title=" MRR"> MRR</a>, <a href="https://publications.waset.org/abstracts/search?q=parameter" title=" parameter"> parameter</a>, <a href="https://publications.waset.org/abstracts/search?q=Taguchi%20Methode" title=" Taguchi Methode"> Taguchi Methode</a> </p> <a href="https://publications.waset.org/abstracts/187033/parametric-investigation-of-wire-cut-electric-discharge-machining-on-steel-st-37" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187033.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">43</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8883</span> Optimization of Process Parameters in Wire Electrical Discharge Machining of Inconel X-750 for Dimensional Deviation Using Taguchi Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mandeep%20Kumar">Mandeep Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Hari%20Singh"> Hari Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The effective optimization of machining process parameters affects dramatically the cost and production time of machined components as well as the quality of the final products. This paper presents the optimization aspects of a Wire Electrical Discharge Machining operation using Inconel X-750 as work material. The objective considered in this study is minimization of the dimensional deviation. Six input process parameters of WEDM namely spark gap voltage, pulse-on time, pulse-off time, wire feed rate, peak current and wire tension, were chosen as variables to study the process performance. Taguchi's design of experiments methodology has been used for planning and designing the experiments. The analysis of variance was carried out for raw data as well as for signal to noise ratio. Four input parameters and one two-factor interaction have been found to be statistically significant for their effects on the response of interest. The confirmation experiments were also performed for validating the predicted results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ANOVA" title="ANOVA">ANOVA</a>, <a href="https://publications.waset.org/abstracts/search?q=DOE" title=" DOE"> DOE</a>, <a href="https://publications.waset.org/abstracts/search?q=inconel" title=" inconel"> inconel</a>, <a href="https://publications.waset.org/abstracts/search?q=machining" title=" machining"> machining</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/48085/optimization-of-process-parameters-in-wire-electrical-discharge-machining-of-inconel-x-750-for-dimensional-deviation-using-taguchi-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48085.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">205</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8882</span> Optimization of Process Parameters by Using Taguchi Method for Bainitic Steel Machining</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vinay%20Patil">Vinay Patil</a>, <a href="https://publications.waset.org/abstracts/search?q=Swapnil%20Kekade"> Swapnil Kekade</a>, <a href="https://publications.waset.org/abstracts/search?q=Ashish%20Supare"> Ashish Supare</a>, <a href="https://publications.waset.org/abstracts/search?q=Vinayak%20Pawar"> Vinayak Pawar</a>, <a href="https://publications.waset.org/abstracts/search?q=Shital%20Jadhav"> Shital Jadhav</a>, <a href="https://publications.waset.org/abstracts/search?q=Rajkumar%20Singh"> Rajkumar Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent days, bainitic steel is used in automobile and non-automobile sectors due to its high strength. Bainitic steel is difficult to machine because of its high hardness, hence in this paper machinability of bainitic steel is studied by using Taguchi design of experiments (DOE) approach. Convectional turning experiments were done by using L16 orthogonal array for three input parameters viz. cutting speed, depth of cut and feed. The Taguchi method is applied to study the performance characteristics of machining parameters with surface roughness (Ra), cutting force and tool wear rate. By using Taguchi analysis, optimized process parameters for best surface finish and minimum cutting forces were analyzed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conventional%20turning" title="conventional turning">conventional turning</a>, <a href="https://publications.waset.org/abstracts/search?q=Taguchi%20method" title=" Taguchi method"> Taguchi method</a>, <a href="https://publications.waset.org/abstracts/search?q=S%2FN%20ratio" title=" S/N ratio"> S/N ratio</a>, <a href="https://publications.waset.org/abstracts/search?q=bainitic%20steel%20machining" title=" bainitic steel machining"> bainitic steel machining</a> </p> <a href="https://publications.waset.org/abstracts/15099/optimization-of-process-parameters-by-using-taguchi-method-for-bainitic-steel-machining" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15099.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">331</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8881</span> Effect of Process Variables of Wire Electrical Discharge Machining on Surface Roughness for AA-6063 by Response Surface Methodology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deepak">Deepak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> WEDM is an amazingly potential electro-wire process for machining of hard metal compounds and metal grid composites without making contact. Wire electrical machining is a developing noncustomary machining process for machining hard to machine materials that are electrically conductive. It is an exceptionally exact, precise, and one of the most famous machining forms in nontraditional machining. WEDM has turned into the fundamental piece of many assembling process ventures, which require precision, variety, and accuracy. In the present examination, AA-6063 is utilized as a workpiece, and execution investigation is done to discover the critical control factors. Impact of different parameters like a pulse on time, pulse off time, servo voltage, peak current, water pressure, wire tension, wire feed upon surface hardness has been researched while machining on AA-6063. RSM has been utilized to advance the yield variable. A variety of execution measures with input factors was demonstrated by utilizing the response surface methodology. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AA-6063" title="AA-6063">AA-6063</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20methodology" title=" response surface methodology"> response surface methodology</a>, <a href="https://publications.waset.org/abstracts/search?q=WEDM" title=" WEDM"> WEDM</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20roughness" title=" surface roughness"> surface roughness</a> </p> <a href="https://publications.waset.org/abstracts/119358/effect-of-process-variables-of-wire-electrical-discharge-machining-on-surface-roughness-for-aa-6063-by-response-surface-methodology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/119358.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">116</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8880</span> Theoretical and Experimental Analysis of Hard Material Machining</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rajaram%20Kr.%20Gupta">Rajaram Kr. Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Bhupendra%20Kumar"> Bhupendra Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20V.%20K.%20Gupta"> T. V. K. Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20S.%20Ramteke"> D. S. Ramteke</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Machining of hard materials is a recent technology for direct production of work-pieces. The primary challenge in machining these materials is selection of cutting tool inserts which facilitates an extended tool life and high-precision machining of the component. These materials are widely for making precision parts for the aerospace industry. Nickel-based alloys are typically used in extreme environment applications where a combination of strength, corrosion resistance and oxidation resistance material characteristics are required. The present paper reports the theoretical and experimental investigations carried out to understand the influence of machining parameters on the response parameters. Considering the basic machining parameters (speed, feed and depth of cut) a study has been conducted to observe their influence on material removal rate, surface roughness, cutting forces and corresponding tool wear. Experiments are designed and conducted with the help of Central Composite Rotatable Design technique. The results reveals that for a given range of process parameters, material removal rate is favorable for higher depths of cut and low feed rate for cutting forces. Low feed rates and high values of rotational speeds are suitable for better finish and higher tool life. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=speed" title="speed">speed</a>, <a href="https://publications.waset.org/abstracts/search?q=feed" title=" feed"> feed</a>, <a href="https://publications.waset.org/abstracts/search?q=depth%20of%20cut" title=" depth of cut"> depth of cut</a>, <a href="https://publications.waset.org/abstracts/search?q=roughness" title=" roughness"> roughness</a>, <a href="https://publications.waset.org/abstracts/search?q=cutting%20force" title=" cutting force"> cutting force</a>, <a href="https://publications.waset.org/abstracts/search?q=flank%20wear" title=" flank wear"> flank wear</a> </p> <a href="https://publications.waset.org/abstracts/1610/theoretical-and-experimental-analysis-of-hard-material-machining" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1610.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">285</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8879</span> Prediction and Optimization of Machining Induced Residual Stresses in End Milling of AISI 1045 Steel</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wajid%20Ali%20Khan">Wajid Ali Khan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Extensive experimentation and numerical investigation are performed to predict the machining-induced residual stresses in the end milling of AISI 1045 steel, and an optimization code has been developed using the particle swarm optimization technique. Experiments were conducted using a single factor at a time and design of experiments approach. Regression analysis was done, and a mathematical model of the cutting process was developed, thus predicting the machining-induced residual stress with reasonable accuracy. The mathematical model served as the objective function to be optimized using particle swarm optimization. The relationship between the different cutting parameters and the output variables, force, and residual stresses has been studied. The combined effect of the process parameters, speed, feed, and depth of cut was examined, and it is understood that 85% of the variation of these variables can be attributed to these machining parameters under research. A 3D finite element model is developed to predict the cutting forces and the machining-induced residual stresses in end milling operation. The results were validated experimentally and against the Johnson-cook model available in the literature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=residual%20stresses" title="residual stresses">residual stresses</a>, <a href="https://publications.waset.org/abstracts/search?q=end%20milling" title=" end milling"> end milling</a>, <a href="https://publications.waset.org/abstracts/search?q=1045%20steel" title=" 1045 steel"> 1045 steel</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/157047/prediction-and-optimization-of-machining-induced-residual-stresses-in-end-milling-of-aisi-1045-steel" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157047.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">102</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8878</span> Enhancing Wire Electric Discharge Machining Efficiency through ANOVA-Based Process Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rahul%20R.%20Gurpude">Rahul R. Gurpude</a>, <a href="https://publications.waset.org/abstracts/search?q=Pallvita%20Yadav"> Pallvita Yadav</a>, <a href="https://publications.waset.org/abstracts/search?q=Amrut%20Mulay"> Amrut Mulay</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, there has been a growing focus on advanced manufacturing processes, and one such emerging process is wire electric discharge machining (WEDM). WEDM is a precision machining process specifically designed for cutting electrically conductive materials with exceptional accuracy. It achieves material removal from the workpiece metal through spark erosion facilitated by electricity. Initially developed as a method for precision machining of hard materials, WEDM has witnessed significant advancements in recent times, with numerous studies and techniques based on electrical discharge phenomena being proposed. These research efforts and methods in the field of ED encompass a wide range of applications, including mirror-like finish machining, surface modification of mold dies, machining of insulating materials, and manufacturing of micro products. WEDM has particularly found extensive usage in the high-precision machining of complex workpieces that possess varying hardness and intricate shapes. During the cutting process, a wire with a diameter ranging from 0.18mm is employed. The evaluation of EDM performance typically revolves around two critical factors: material removal rate (MRR) and surface roughness (SR). To comprehensively assess the impact of machining parameters on the quality characteristics of EDM, an Analysis of Variance (ANOVA) was conducted. This statistical analysis aimed to determine the significance of various machining parameters and their relative contributions in controlling the response of the EDM process. By undertaking this analysis, optimal levels of machining parameters were identified to achieve desirable material removal rates and surface roughness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=WEDM" title="WEDM">WEDM</a>, <a href="https://publications.waset.org/abstracts/search?q=MRR" title=" MRR"> MRR</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20roughness" title=" surface roughness"> surface roughness</a> </p> <a href="https://publications.waset.org/abstracts/167482/enhancing-wire-electric-discharge-machining-efficiency-through-anova-based-process-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167482.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">75</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8877</span> Effects of Machining Parameters on the Surface Roughness and Vibration of the Milling Tool</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yung%20C.%20Lin">Yung C. Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Kung%20D.%20Wu"> Kung D. Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Wei%20C.%20Shih"> Wei C. Shih</a>, <a href="https://publications.waset.org/abstracts/search?q=Jui%20P.%20Hung"> Jui P. Hung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> High speed and high precision machining have become the most important technology in manufacturing industry. The surface roughness of high precision components is regarded as the important characteristics of the product quality. However, machining chatter could damage the machined surface and restricts the process efficiency. Therefore, selection of the appropriate cutting conditions is of importance to prevent the occurrence of chatter. In addition, vibration of the spindle tool also affects the surface quality, which implies the surface precision can be controlled by monitoring the vibration of the spindle tool. Based on this concept, this study was aimed to investigate the influence of the machining conditions on the surface roughness and the vibration of the spindle tool. To this end, a series of machining tests were conducted on aluminum alloy. In tests, the vibration of the spindle tool was measured by using the acceleration sensors. The surface roughness of the machined parts was examined using white light interferometer. The response surface methodology (RSM) was employed to establish the mathematical models for predicting surface finish and tool vibration, respectively. The correlation between the surface roughness and spindle tool vibration was also analyzed by ANOVA analysis. According to the machining tests, machined surface with or without chattering was marked on the lobes diagram as the verification of the machining conditions. Using multivariable regression analysis, the mathematical models for predicting the surface roughness and tool vibrations were developed based on the machining parameters, cutting depth (a), feed rate (f) and spindle speed (s). The predicted roughness is shown to agree well with the measured roughness, an average percentage of errors of 10%. The average percentage of errors of the tool vibrations between the measurements and the predictions of mathematical model is about 7.39%. In addition, the tool vibration under various machining conditions has been found to have a positive influence on the surface roughness (r=0.78). As a conclusion from current results, the mathematical models were successfully developed for the predictions of the surface roughness and vibration level of the spindle tool under different cutting condition, which can help to select appropriate cutting parameters and to monitor the machining conditions to achieve high surface quality in milling operation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machining%20parameters" title="machining parameters">machining parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=machining%20stability" title=" machining stability"> machining stability</a>, <a href="https://publications.waset.org/abstracts/search?q=regression%20analysis" title=" regression analysis"> regression analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20roughness" title=" surface roughness"> surface roughness</a> </p> <a href="https://publications.waset.org/abstracts/102413/effects-of-machining-parameters-on-the-surface-roughness-and-vibration-of-the-milling-tool" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102413.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">231</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8876</span> Optimization of Machining Parameters of Wire Electric Discharge Machining (WEDM) of Inconel 625 Super Alloy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amitesh%20Goswami">Amitesh Goswami</a>, <a href="https://publications.waset.org/abstracts/search?q=Vishal%20Gulati"> Vishal Gulati</a>, <a href="https://publications.waset.org/abstracts/search?q=Annu%20Yadav"> Annu Yadav</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, WEDM has been used to investigate the machining characteristics of Inconel-625 alloy. The machining characteristics namely material removal rate (MRR) and surface roughness (SR) have been investigated along with surface microstructure analysis using SEM and EDS of the machined surface. Taguchi’s L27 Orthogonal array design has been used by considering six varying input parameters viz. Pulse-on time (Ton), Pulse-off time (Toff), Spark Gap Set Voltage (SV), Peak Current (IP), Wire Feed (WF) and Wire Tension (WT) for the responses of interest. It has been found out that Pulse-on time (Ton) and Spark Gap Set Voltage (SV) are the most significant parameters affecting material removal rate (MRR) and surface roughness (SR) are. Microstructure analysis of workpiece was also done using Scanning Electron Microscope (SEM). It was observed that, variations in pulse-on time and pulse-off time causes varying discharge energy and as a result of which deep craters / micro cracks and large/ small number of debris were formed. These results were helpful in studying the effects of pulse-on time and pulse-off time on MRR and SR. Energy Dispersive Spectrometry (EDS) was also done to check the compositional analysis of the material and it was observed that Copper and Zinc which were initially not present in the Inconel 625, later migrated on the material surface from the brass wire electrode during machining <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MRR" title="MRR">MRR</a>, <a href="https://publications.waset.org/abstracts/search?q=SEM" title=" SEM"> SEM</a>, <a href="https://publications.waset.org/abstracts/search?q=SR" title=" SR"> SR</a>, <a href="https://publications.waset.org/abstracts/search?q=taguchi" title=" taguchi"> taguchi</a>, <a href="https://publications.waset.org/abstracts/search?q=Wire%20Electric%20Discharge%20Machining" title=" Wire Electric Discharge Machining"> Wire Electric Discharge Machining</a> </p> <a href="https://publications.waset.org/abstracts/49334/optimization-of-machining-parameters-of-wire-electric-discharge-machining-wedm-of-inconel-625-super-alloy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49334.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">353</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8875</span> [Keynote Talk]: Machining Parameters Optimization with Genetic Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dejan%20Taniki%C4%87">Dejan Tanikić</a>, <a href="https://publications.waset.org/abstracts/search?q=Miodrag%20Mani%C4%87"> Miodrag Manić</a>, <a href="https://publications.waset.org/abstracts/search?q=Jelena%20%C4%90okovi%C4%87"> Jelena Đoković</a>, <a href="https://publications.waset.org/abstracts/search?q=Sa%C5%A1a%20Kalinovi%C4%87"> Saša Kalinović</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper deals with the determination of the optimum machining parameters, according to the measured and modelled data of the cutting temperature and surface roughness, during the turning of the AISI 4140 steel. The high cutting temperatures are unwanted occurences in the metal cutting process. They impact negatively on the quality of the machined part. The machining experiments were performed using different cutting regimes (cutting speed, feed rate and depth of cut), with different values of the workpiece hardness, which causes different values of the measured cutting temperature as well as the measured surface roughness. The temperature and surface roughness data were modelled after that using Response Surface Methodology (RSM). The obtained RSM models are used in the process of optimization of the cutting regimes using the Genetic Algorithms (GA) tool, which enables the metal cutting process in the optimum conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithms" title="genetic algorithms">genetic algorithms</a>, <a href="https://publications.waset.org/abstracts/search?q=machining%20parameters" title=" machining parameters"> machining parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20methodology" title=" response surface methodology"> response surface methodology</a>, <a href="https://publications.waset.org/abstracts/search?q=turning%20process" title=" turning process"> turning process</a> </p> <a href="https://publications.waset.org/abstracts/82130/keynote-talk-machining-parameters-optimization-with-genetic-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82130.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">188</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8874</span> Optimization of Machining Parametric Study on Electrical Discharge Machining</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rakesh%20Prajapati">Rakesh Prajapati</a>, <a href="https://publications.waset.org/abstracts/search?q=Purvik%20Patel"> Purvik Patel</a>, <a href="https://publications.waset.org/abstracts/search?q=Hardik%20Patel"> Hardik Patel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Productivity and quality are two important aspects that have become great concerns in today’s competitive global market. Every production/manufacturing unit mainly focuses on these areas in relation to the process, as well as the product developed. The electrical discharge machining (EDM) process, even now it is an experience process, wherein the selected parameters are still often far from the maximum, and at the same time selecting optimization parameters is costly and time consuming. Material Removal Rate (MRR) during the process has been considered as a productivity estimate with the aim to maximize it, with an intention of minimizing surface roughness taken as most important output parameter. These two opposites in nature requirements have been simultaneously satisfied by selecting an optimal process environment (optimal parameter setting). Objective function is obtained by Regression Analysis and Analysis of Variance. Then objective function is optimized using Genetic Algorithm technique. The model is shown to be effective; MRR and Surface Roughness improved using optimized machining parameters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MMR" title="MMR">MMR</a>, <a href="https://publications.waset.org/abstracts/search?q=TWR" title=" TWR"> TWR</a>, <a href="https://publications.waset.org/abstracts/search?q=OC" title=" OC"> OC</a>, <a href="https://publications.waset.org/abstracts/search?q=DOE" title=" DOE"> DOE</a>, <a href="https://publications.waset.org/abstracts/search?q=ANOVA" title=" ANOVA"> ANOVA</a>, <a href="https://publications.waset.org/abstracts/search?q=minitab" title=" minitab"> minitab</a> </p> <a href="https://publications.waset.org/abstracts/47769/optimization-of-machining-parametric-study-on-electrical-discharge-machining" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47769.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">326</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8873</span> An Integrated Approach for Optimal Selection of Machining Parameters in Laser Micro-Machining Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Gopala%20Krishna">A. Gopala Krishna</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Lakshmi%20Chaitanya"> M. Lakshmi Chaitanya</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Kalyana%20Manohar"> V. Kalyana Manohar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the existent analysis, laser micro machining (LMM) of Silicon carbide (SiCp) reinforced Aluminum 7075 Metal Matrix Composite (Al7075/SiCp MMC) was studied. While machining, Because of the intense heat generated, A layer gets formed on the work piece surface which is called recast layer and this layer is detrimental to the surface quality of the component. The recast layer needs to be as small as possible for precise applications. Therefore, The height of recast layer and the depth of groove which are conflicting in nature were considered as the significant manufacturing criteria, Which determines the pursuit of a machining process obtained in LMM of Al7075/10%SiCp composite. The present work formulates the depth of groove and height of recast layer in relation to the machining parameters using the Response Surface Methodology (RSM) and correspondingly, The formulated mathematical models were put to use for optimization. Since the effect of machining parameters on the depth of groove and height of recast layer was contradictory, The problem was explicated as a multi objective optimization problem. Moreover, An evolutionary Non-dominated sorting genetic algorithm (NSGA-II) was employed to optimize the model established by RSM. Subsequently this algorithm was also adapted to achieve the Pareto optimal set of solutions that provide a detailed illustration for making the optimal solutions. Eventually experiments were conducted to affirm the results obtained from RSM and NSGA-II. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Laser%20Micro%20Machining%20%28LMM%29" title="Laser Micro Machining (LMM)">Laser Micro Machining (LMM)</a>, <a href="https://publications.waset.org/abstracts/search?q=depth%20of%20groove" title=" depth of groove"> depth of groove</a>, <a href="https://publications.waset.org/abstracts/search?q=Height%20of%20recast%20layer" title=" Height of recast layer"> Height of recast layer</a>, <a href="https://publications.waset.org/abstracts/search?q=Response%20Surface%20Methodology%20%28RSM%29" title=" Response Surface Methodology (RSM)"> Response Surface Methodology (RSM)</a>, <a href="https://publications.waset.org/abstracts/search?q=non-dominated%20sorting%20genetic%20algorithm" title=" non-dominated sorting genetic algorithm"> non-dominated sorting genetic algorithm</a> </p> <a href="https://publications.waset.org/abstracts/1651/an-integrated-approach-for-optimal-selection-of-machining-parameters-in-laser-micro-machining-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1651.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">345</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8872</span> A Systematic Approach for Identifying Turning Center Capabilities with Vertical Machining Center in Milling Operation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Joseph%20Chen">Joseph Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Hundal"> N. Hundal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Conventional machining is a form of subtractive manufacturing, in which a collection of material-working processes utilizing power-driven machine tools are used to remove undesired material to achieve a desired geometry. This paper presents an approach for comparison between turning center and vertical machining center by optimization of cutting parameters at cylindrical workpieces leading to minimum surface roughness by using taguchi methodology. Aluminum alloy was taken to conduct experiments due to its unique high strength-weight ratio that is maintained at elevated temperatures and their exceptional corrosion resistance. During testing, the effects of the cutting parameters on the surface roughness were investigated. Additionally, by using taguchi methodology for each of the cutting parameters (spindle speed, depth of cut, insert diameter, and feed rate) minimum surface roughness for the process of turn-milling was determined according to the cutting parameters. A confirmation experiment demonstrates the effectiveness of taguchi method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=surface%20roughness" title="surface roughness">surface roughness</a>, <a href="https://publications.waset.org/abstracts/search?q=Taguchi%20parameter%20design" title=" Taguchi parameter design"> Taguchi parameter design</a>, <a href="https://publications.waset.org/abstracts/search?q=turning%20center" title=" turning center"> turning center</a>, <a href="https://publications.waset.org/abstracts/search?q=turn-milling%20operations" title=" turn-milling operations"> turn-milling operations</a>, <a href="https://publications.waset.org/abstracts/search?q=vertical%20machining%20center" title=" vertical machining center"> vertical machining center</a> </p> <a href="https://publications.waset.org/abstracts/5128/a-systematic-approach-for-identifying-turning-center-capabilities-with-vertical-machining-center-in-milling-operation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5128.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">329</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8871</span> An Investigation of Machinability of Inconel 718 in EDM Using Different Cryogenic Treated Tools</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pradeep%20Joshi">Pradeep Joshi</a>, <a href="https://publications.waset.org/abstracts/search?q=Prashant%20Dhiman"> Prashant Dhiman</a>, <a href="https://publications.waset.org/abstracts/search?q=Shiv%20Dayal%20Dhakad"> Shiv Dayal Dhakad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Inconel 718 is a family if Nickel-Chromium based Superalloy; it has very high oxidation and corrosion resistance. Inconel 718 is widely being used in aerospace, engine, turbine etc. due to its high mechanical strength and creep resistance. Being widely used, its machining should be easy but in real its machining is very difficult, especially by using traditional machining methods. It becomes easy to machine only by using non Traditional machining such as EDM. During EDM machining there is wear of both tool and workpiece, the tool wear is undesired because it changes tool shape, geometry. To reduce the tool wear rate (TWR) cryogenic treatment is performed on tool before the machining operation. The machining performances of the process are to be evaluated in terms of MRR, TWR which are functions of Discharge current, Pulse on-time, Pulse Off-time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=EDM" title="EDM">EDM</a>, <a href="https://publications.waset.org/abstracts/search?q=cyrogenic" title=" cyrogenic"> cyrogenic</a>, <a href="https://publications.waset.org/abstracts/search?q=TWR" title=" TWR"> TWR</a>, <a href="https://publications.waset.org/abstracts/search?q=MRR" title=" MRR"> MRR</a> </p> <a href="https://publications.waset.org/abstracts/21773/an-investigation-of-machinability-of-inconel-718-in-edm-using-different-cryogenic-treated-tools" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21773.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">456</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8870</span> Impact of Machining Parameters on the Surface Roughness of Machined PU Block</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Louis%20Denis%20Kevin%20Catherine">Louis Denis Kevin Catherine</a>, <a href="https://publications.waset.org/abstracts/search?q=Raja%20Aziz%20Raja%20Ma%E2%80%99arof"> Raja Aziz Raja Ma’arof</a>, <a href="https://publications.waset.org/abstracts/search?q=Azrina%20Arshad"> Azrina Arshad</a>, <a href="https://publications.waset.org/abstracts/search?q=Sangeeth%20Suresh"> Sangeeth Suresh </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Machining parameters are very important in determining the surface quality of any material. In the past decade, some new engineering materials were developed for the manufacturing industry which created a need to conduct an investigation on the impact of the said parameters on their surface roughness. The polyurethane (PU) block is widely used in the automotive industry to manufacture parts such as checking fixtures that are used to verify the dimensional accuracy of automotive parts. In this paper, the design of experiment (DOE) was used to investigate the effect of the milling parameters on the PU block. Furthermore, an analysis of the machined surface chemical composition was done using scanning electron microscope (SEM). It was found that the surface roughness of the PU block is severely affected when PU undergoes a flood machining process instead of a dry condition. In addition, the step over and the silicon content were found to be the most significant parameters that influence the surface quality of the PU block. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=polyurethane%20%28PU%29" title="polyurethane (PU)">polyurethane (PU)</a>, <a href="https://publications.waset.org/abstracts/search?q=design%20of%20experiment%20%28DOE%29" title=" design of experiment (DOE)"> design of experiment (DOE)</a>, <a href="https://publications.waset.org/abstracts/search?q=scanning%20electron%20microscope%20%28SEM%29" title=" scanning electron microscope (SEM)"> scanning electron microscope (SEM)</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20roughness" title=" surface roughness"> surface roughness</a> </p> <a href="https://publications.waset.org/abstracts/20483/impact-of-machining-parameters-on-the-surface-roughness-of-machined-pu-block" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20483.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">521</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8869</span> Automated CNC Part Programming and Process Planning for Turned Components</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Radhey%20Sham%20Rajoria">Radhey Sham Rajoria</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Pressure to increase the competitiveness in the manufacturing sector and for the survival in the market has led to the development of machining centres, which enhance productivity, improve quality, shorten the lead time, and reduce the manufacturing cost. With the innovation of machining centres in the manufacturing sector the production lines have been replaced by these machining centers, having the ability to machine various processes and multiple tooling with automatic tool changer (ATC) for the same part. Also the process plans can be easily generated for complex components. Some means are required to utilize the machining center at its best. The present work is concentrated on the automated part program generation, and in turn automated process plan generation for the turned components on Denford “MIRAC” 8 stations ATC lathe machining centre. A package in C++ on DOS platform is developed which generates the complete CNC part program, process plan and process sequence for the turned components. The input to this system is in the form of a blueprint in graphical format with machining parameters and variables, and the output is the CNC part program which is stored in a .mir file, ready for execution on the machining centre. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CNC" title="CNC">CNC</a>, <a href="https://publications.waset.org/abstracts/search?q=MIRAC" title=" MIRAC"> MIRAC</a>, <a href="https://publications.waset.org/abstracts/search?q=ATC" title=" ATC"> ATC</a>, <a href="https://publications.waset.org/abstracts/search?q=process%20planning" title=" process planning"> process planning</a> </p> <a href="https://publications.waset.org/abstracts/10434/automated-cnc-part-programming-and-process-planning-for-turned-components" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10434.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">269</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8868</span> Experimental Investigation and Numerical Simulations of the Cylindrical Machining of a Ti-6Al-4V Tree</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Sahli">Mohamed Sahli</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Bassir"> David Bassir</a>, <a href="https://publications.waset.org/abstracts/search?q=Thierry%20Barriere"> Thierry Barriere</a>, <a href="https://publications.waset.org/abstracts/search?q=Xavier%20Roizard"> Xavier Roizard</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Predicting the behaviour of the Ti-6Al-4V alloy during the turning operation was very important in the choice of suitable cutting tools and also in the machining strategies. In this study, a 3D model with thermo-mechanical coupling has been proposed to study the influence of cutting parameters and also lubrication on the performance of cutting tools. The constants of the constitutive Johnson-Cook model of Ti-6Al-4V alloy were identified using inverse analysis based on the parameters of the orthogonal cutting process. Then, numerical simulations of the finishing machining operation were developed and experimentally validated for the cylindrical stock removal stage with the finishing cutting tool. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=titanium%20turning" title="titanium turning">titanium turning</a>, <a href="https://publications.waset.org/abstracts/search?q=cutting%20tools" title=" cutting tools"> cutting tools</a>, <a href="https://publications.waset.org/abstracts/search?q=FE%20simulation" title=" FE simulation"> FE simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=chip" title=" chip"> chip</a> </p> <a href="https://publications.waset.org/abstracts/131356/experimental-investigation-and-numerical-simulations-of-the-cylindrical-machining-of-a-ti-6al-4v-tree" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131356.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">173</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8867</span> Role of Process Parameters on Pocket Milling with Abrasive Water Jet Machining Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20V.%20K.%20Gupta">T. V. K. Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Ramkumar"> J. Ramkumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Puneet%20Tandon"> Puneet Tandon</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20S.%20Vyas"> N. S. Vyas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Abrasive Water Jet Machining (AWJM) is an unconventional machining process well known for machining hard to cut materials. The primary research focus on the process was for through cutting and a very limited literature is available on pocket milling using AWJM. The present work is an attempt to use this process for milling applications considering a set of various process parameters. Four different input parameters, which were considered by researchers for part separation, are selected for the above application i.e. abrasive size, flow rate, standoff distance, and traverse speed. Pockets of definite size are machined to investigate surface roughness, material removal rate, and pocket depth. Based on the data available through experiments on SS304 material, it is observed that higher traverse speeds gives a better finish because of reduction in the particle energy density and lower depth is also observed. Increase in the standoff distance and abrasive flow rate reduces the rate of material removal as the jet loses its focus and occurrence of collisions within the particles. ANOVA for individual output parameter has been studied to know the significant process parameters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=abrasive%20flow%20rate" title="abrasive flow rate">abrasive flow rate</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20finish" title=" surface finish"> surface finish</a>, <a href="https://publications.waset.org/abstracts/search?q=abrasive%20size" title=" abrasive size"> abrasive size</a>, <a href="https://publications.waset.org/abstracts/search?q=standoff%20distance" title=" standoff distance"> standoff distance</a>, <a href="https://publications.waset.org/abstracts/search?q=traverse%20speed" title=" traverse speed"> traverse speed</a> </p> <a href="https://publications.waset.org/abstracts/1347/role-of-process-parameters-on-pocket-milling-with-abrasive-water-jet-machining-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1347.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">304</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=machining%20parameters&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=machining%20parameters&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=machining%20parameters&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=machining%20parameters&page=5">5</a></li> <li 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