MRR | p. 3 | Scientific.Net

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class="pagination"><li class="PagedList-skipToPrevious"><a href="/paper-keyword/mrr/2" rel="prev"><</a></li><li><a href="/paper-keyword/mrr/1">1</a></li><li><a href="/paper-keyword/mrr/2">2</a></li><li class="active"><span>3</span></li><li><a href="/paper-keyword/mrr/4">4</a></li><li><a href="/paper-keyword/mrr/5">5</a></li><li class="PagedList-ellipses"><a class="PagedList-skipToNext" href="/paper-keyword/mrr/6" rel="next">…</a></li><li class="PagedList-skipToNext"><a href="/paper-keyword/mrr/4" rel="next">></a></li><li class="PagedList-skipToLast"><a href="/paper-keyword/mrr/8">>></a></li></ul></div> </div> <div class="block-volume-title normal-text-gray"> <p> Paper Title<span>Page</span> </p> </div> <div class="item-block"> <div class="item-link"> <a href="/AEF.20.42">Process Parameter Optimization for MRR and Surface Roughness during Machining LM6 Aluminum MMC on WEDM</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Jay Pujara, Kartik D. Kothari, Ashish V. Gohil </div> </div> <div id="abstractTextBlock513581" class="volume-info volume-info-text volume-info-description"> Abstract: WEDM process is newly emerged machining method in past decade which uses spark erosion method for the material removal while machining using high current. This method has shown high dimensional accuracy but gave rise to low machining rate. In current age of ultramodern technology a machine should satisfy more than one purpose. Therefore better Surface finish with dimensional accuracy for WEDM process has been very well presented in this paper with both the responses taken for study simultaneously. The paper deals with WEDM Process variables pulse ON/OFF time, peak current, servo voltage and wire feed rate. The paper also details about reduction of iterations for the desired output by using TLBO (Teaching-Learning Based Optimization) technique. The convergence graphs have been plotted in Minitab software to justify the reduction in iterations. </div> <div> <a data-readmore="{ block: '#abstractTextBlock513581', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 42 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/AMM.854.45">Optimization of Cutting Parameters during Turning of AISI-310 Using Response Surface Methodology</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: S. Nandhakumar, R. Vijayakumar, Senthil Padmavathy, N. Nagasundaram </div> </div> <div id="abstractTextBlock509879" class="volume-info volume-info-text volume-info-description"> Abstract: Design of Experiments is employed to study the stimulus of cutting parameters such as feed rate, spindle speed, depth of cut in the turning operation of AISI-310 and optimizing the value of those parameters for getting the higher material removal rate (MRR) and minimal surface roughness. A prediction model has been developed by using the above influencing parameters. For the purpose of parameters optimization we investigate the parameters using Response Surface Methodology (RSM). It is shown that feed rate is the main parameter in influencing the surface roughness, which is being followed by spindle speed and depth of cut. It is found that surface roughness and feed rate were directly proportional to each other for some extent. The confirmation tests were carried out to with the optimum set of parameters and are verified with test results. The comparison of above two results were found to be good with maximum error within 5% on comparing it with the predicted model. </div> <div> <a data-readmore="{ block: '#abstractTextBlock509879', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 45 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/AMM.854.93">Multi-Response Optimisation of Cutting Parameters of Wire EDM in Titanium Using Response Surface Methodology</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: B. Sivaraman, Senthil Padmavathy, P. Jothiprakash, T. Keerthivasan </div> </div> <div id="abstractTextBlock509769" class="volume-info volume-info-text volume-info-description"> Abstract: This Aim of this paper is to analyse the effect of machining parameters of wire electrical discharge machining (WEDM) on workpiece material titanium, that were now widely used in many applications because of its technical benefits. Conventional method of machining the material will make the work piece to crack or flaws due to chipping, presence of burrs and cracking. Wire cut Electrical discharge machining techniques have been already tried with some other high strength materials which is complicated to cut. To prove the feasibility of machining the titanium, many experiments were carried out based on RSM. Hence by the head wire electrical discharge machining process is to be used to machining the work piece material (titanium) and the effect of various control parameters on the response parameters were analysed and optimized and the optimal combination of control parameters were found to get higher metal removal rate and surface finish using Response Surface Methodology. </div> <div> <a data-readmore="{ block: '#abstractTextBlock509769', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 93 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/JERA.22.112">Analysis of MRR and TWR on OHNS Die Steel with Different Electrodes Using Electrical Discharge Machining</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: S. Nallusamy </div> </div> <div id="abstractTextBlock499039" class="volume-info volume-info-text volume-info-description"> Abstract: Electrical Discharge Machining is a machining method primarily used for hard metals or those that are impossible to be machined with traditional techniques. The experimental investigation of material removal rate and tool wear rate during machining of oil hardened non-shrinking steel with brass and copper electrodes using EDM machine was carried out in this paper. This investigation presents the analysis and evaluation of heat affected zones and surface finish of the work piece using different tool electrodes and varying the machine parameters. The commercial grade kerosene oil has been used as dielectric fluid. The effect of various important EDM parameters such as discharge current (Ip) 2 to12A, pulse duration (Ton and Toff) and sparking voltage (V) of 80±5% have been used to yield the response in terms of Material Removal Rate (MRR) and Tool Wear Rate (TWR). Further a detailed analysis of the heat affected regions was also been carried out by using scanning electron microscopy. </div> <div> <a data-readmore="{ block: '#abstractTextBlock499039', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 112 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/AMM.813-814.368">Optimization of Machining Parameters in Rotary EDM Process Using Copper Tungsten Electrode</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Suddala Chandramouli, Kesha Eswaraiah </div> </div> <div id="abstractTextBlock486422" class="volume-info volume-info-text volume-info-description"> Abstract: Electrical Discharge Machining is a thermo-electric process and one of the advanced methods of machining. Most publications on the EDM process are directed towards non-rotational tools, but rotation of the tool provides a good flushing in the machining zone. In this study, the optimal setting of the process parameters on Rotary Electric Discharge machining (REDM) was determined. The important process parameters that have been selected are peak current, pulse on time, pulse off time and rotational speed of tool with output response as Material Removal Rate (MRR).Taguchi experimental design (L27 orthogonal array) was used to formulate the experimental layout and experiments were conducted on Hardened stainless steel machined with copper tungsten electrode. ANOVA method was used with the help of MINITAB 17 software to analysis the influence of input process parameters on the MRR using Rotary Electric Discharge Machining. The input parameters were optimized in order to obtain maximum MRR, The results of the present work revealed that proper selection of input parameters will play a significant role on MRR. </div> <div> <a data-readmore="{ block: '#abstractTextBlock486422', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 368 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/AMM.799-800.343">Experimental Analysis of Machining Parameters in WEDM of AISI D3 Steel Using Taguchi Method</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Rahul Shukla, Brajesh Kumar Lodhi </div> </div> <div id="abstractTextBlock490389" class="volume-info volume-info-text volume-info-description"> Abstract: Wire Electric Discharge Machining (WEDM) is a non-traditional process of material from conductive material to produce parts with intricate shape and profiles. In the present work, an attempt has been made to optimization the machining conditions for maximum material removal rate, minimise kerf width based on (L<sub>9</sub> Orthogonal Array) Taguchi method. Experiments, based on Taguchi’s parameters design, were carried out to effect of machining parameters, like pulse-on-time (T<sub>ON</sub>), pulse-off-time (T<sub>OFF</sub>), peak current (I<sub>P</sub>), and wire feed (W<sub>F</sub>) on the material removal rate and kerf width. The importance of the cutting parameters on the cutting performance outputs is determined by using the variance analysis (ANOVA). The variation of MRR and kerf width with cutting parameters is modeled by using a regression analysis method. </div> <div> <a data-readmore="{ block: '#abstractTextBlock490389', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 343 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/AMM.787.637">Experimental Analysis and Forecasting of Material Removal Rate and Cutting Force in End Milling on A356 Alloy-SiC Metal Matrix Composites</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: K. Jayakumar, Jose Mathew, M.A. Joseph </div> </div> <div id="abstractTextBlock475202" class="volume-info volume-info-text volume-info-description"> Abstract: By considering several applications of aluminum based particle reinforced composites especially in automobile, aerospace and electronic industries, in this work, prediction of machinability responses of A356 alloy-SiC particles (5, 10, 15 and 20 vol%) reinforced metal matrix composites is described. Composites were synthesized by vacuum hot pressing (VHP) assisted powder metallurgy (P/M) process. Effect of cutting speed (Vc), feed (f), depth of cut (d) and quantity of SiC (vol %) on machinability of composites in terms of material removal rate (MRR) and resultant cutting forces (F<sub>R</sub>) during end milling were investigated. Milling experiments were carried in dry condition based on central composite design and KISTLER dynamometer was used to measure cutting forces. Resultant cutting force values were increased from 21 to 105 N with an increase in ‘f’ and ‘d’, but decreased with increase in ‘Vc’. Increase in machining parameters increased the MRR from 2.3 to 8.6 × 10<sup>3</sup> mm<sup>3</sup>/min and increase in SiC reduced the MRR. Statistical modeling with cubic response equations were used to predict the results and predicted results were closely matching with experimental values. </div> <div> <a data-readmore="{ block: '#abstractTextBlock475202', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 637 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/AMR.1115.12">Investigation of Surface Roughness and Material Removal Rate for High Speed Micro End Milling on PMMA</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Nur Atiqah, Yeakub Ali Mohammad, Abdul Rahman Mohamed, Md. Sazzad Hossein Chowdhury </div> </div> <div id="abstractTextBlock472067" class="volume-info volume-info-text volume-info-description"> Abstract: Micro end milling is one of the most important micromachining process and widely used for producing miniaturized components with high accuracy and surface finish. This paper present the influence of three micro end milling process parameters; spindle speed, feed rate, and depth of cut on surface roughness (R<sub>a</sub>) and material removal rate (MRR). The machining was performed using multi-process micro machine tools (DT-110 Mikrotools Inc., Singapore) with poly methyl methacrylate (PMMA) as the workpiece and tungsten carbide as its tool. To develop the mathematical model for the responses in high speed micro end milling machining, Taguchi design has been used to design the experiment by using the orthogonal array of three levels L<sub>18</sub> (2<sup>1</sup>×3<sup>7</sup>). The developed models were used for multiple response optimizations by desirability function approach to obtain minimum R<sub>a</sub> and maximum MRR. The optimized values of R<sub>a</sub> and MRR were 128.24 nm, and 0.0463 mg/min, respectively obtained at spindle speed of 30000 rpm, feed rate of 2.65 mm/min, and depth of cut of 40 μm. The analysis of variance revealed that spindle speeds are the most influential parameters on R<sub>a</sub>. The optimization of MRR is mostly influence by feed rate. <i>Keywords:</i> <i>Micro</i> <i>milling,</i> <i>surface</i> <i>roughness,</i> <i>MRR,</i> <i>PMMA</i> </div> <div> <a data-readmore="{ block: '#abstractTextBlock472067', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 12 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/AMM.772.279">Evaluation of Surface Finish of Electrical Discharge Machined AISI 304 Stainless Steel with Various Pulse Generators</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Thangaraj Muthuramalingam, B. Mohan, D. Saravanakumar </div> </div> <div id="abstractTextBlock484579" class="volume-info volume-info-text volume-info-description"> Abstract: The performance improvement in Electrical Discharge Machining process is a tedious one in materials and manufacturing processes especially in making of complex die and moulds. Due to non linear nature of this process, conventional pulse generators such as RC pulse generator and transistor pulse train generator cannot produce uniform energy distribution. Since RC pulse generator can produce smaller crater volume, it can make better surface finish than transistor pulse train generator crater size is influenced by the discharge current produced during the machining process. Due to its stochastic behavior, the discharge current is varied for every spark. The modified iso current pulse generator can produce uniform energy distribution with smaller crater size. In this study, EDM drilling experiments have been conducted on AISI 304 stainless steel with the RC pulse generator, Transistor pulse generator and iso energy pulse generator in electrical erosion process. The effects of these pulse generators on surface characterization have been evaluated and analyzed. From the evaluation results, it has been detected that the iso energy pulse generator has produced better surface structure than conventional pulse generators. </div> <div> <a data-readmore="{ block: '#abstractTextBlock484579', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 279 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/AMM.716-717.36">A Novel Compound Machining of AISI 321 Stainless Steel Using Small Diameter Electrodes</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Yang Shen, Yong Hong Liu, Hang Dong, Ren Jie Ji </div> </div> <div id="abstractTextBlock456424" class="volume-info volume-info-text volume-info-description"> Abstract: Experiments of high-efficiently compound machining (CM) combined by EDM and arc machining of AISI 321 stainless steel at 658mm<sup>3</sup>/min material removal rate (MRR) using solid electrodes of different materials and different diameters of less than 5mm were conducted. The CM process parameters, including electrode rotation speed, peak current, electrode materials and electrode diameter, were studied to evaluate the effect on MRR, relative electrode wear rate (REWR) and width of overcut (WOC). The re-solidified layer of 321 for CM was also investigated. Faster electrode rotation speed, higher peak current, larger electrode diameter and pure tungsten electrode material are essential to achieve lower REWR and higher MRR. The processing conditions were bad using electrode diameter of 2mm. The re-solidified materials are significantly more densely than base materials. </div> <div> <a data-readmore="{ block: '#abstractTextBlock456424', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 36 </div> </div> <div class="block-bottom-pagination"> <div class="pager-info"> Showing 21 to 30 of 76 Paper Titles </div> <div class="pagination-container"><ul class="pagination"><li class="PagedList-skipToPrevious"><a href="/paper-keyword/mrr/2" rel="prev"><</a></li><li><a href="/paper-keyword/mrr/1">1</a></li><li><a href="/paper-keyword/mrr/2">2</a></li><li class="active"><span>3</span></li><li><a href="/paper-keyword/mrr/4">4</a></li><li><a href="/paper-keyword/mrr/5">5</a></li><li class="PagedList-ellipses"><a class="PagedList-skipToNext" href="/paper-keyword/mrr/6" rel="next">…</a></li><li class="PagedList-skipToNext"><a href="/paper-keyword/mrr/4" rel="next">></a></li><li class="PagedList-skipToLast"><a href="/paper-keyword/mrr/8">>></a></li></ul></div> </div> </div> </div> </div> </div> </div> <div class="social-icon-popup"> <a href="https://www.facebook.com/Scientific.Net.Ltd/" target="_blank" rel="noopener" title="Scientific.Net"><i class="inline-icon facebook-popup-icon social-icon"></i></a> <a href="https://twitter.com/Scientific_Net/" target="_blank" rel="noopener" title="Scientific.Net"><i class="inline-icon twitter-popup-icon social-icon"></i></a> <a href="https://www.linkedin.com/company/scientificnet/" target="_blank" rel="noopener" title="Scientific.Net"><i class="inline-icon linkedin-popup-icon social-icon"></i></a> </div> </div> <div class="sc-footer"> <div class="footer-fluid"> <div class="container"> <div class="row"> <div class="footer-menu col-md-12 col-sm-12 col-xs-12"> <ul class="list-inline menu-font"> <li><a href="/ForLibraries">For Libraries</a></li> <li><a href="/ForPublication/Paper">For Publication</a></li> <li><a href="/insights" target="_blank">Insights</a></li> <li><a href="/DocuCenter">Downloads</a></li> <li><a href="/Home/AboutUs">About Us</a></li> <li><a href="/PolicyAndEthics/PublishingPolicies">Policy & Ethics</a></li> <li><a href="/Home/Contacts">Contact Us</a></li> <li><a href="/Home/Imprint">Imprint</a></li> <li><a href="/Home/PrivacyPolicy">Privacy Policy</a></li> <li><a href="/Home/Sitemap">Sitemap</a></li> <li><a href="/Conferences">All Conferences</a></li> <li><a href="/special-issues">All Special Issues</a></li> <li><a href="/news/all">All News</a></li> <li><a href="/read-and-publish-agreements">Read & Publish Agreements</a></li> </ul> </div> </div> </div> </div> <div class="line-footer"></div> <div class="footer-fluid"> <div class="container"> <div class="row"> <div class="col-xs-12"> <a href="https://www.facebook.com/Scientific.Net.Ltd/" target="_blank" rel="noopener" title="Scientific.Net"><i class="inline-icon facebook-footer-icon social-icon"></i></a> <a href="https://twitter.com/Scientific_Net/" target="_blank" rel="noopener" title="Scientific.Net"><i class="inline-icon twitter-footer-icon social-icon"></i></a> <a href="https://www.linkedin.com/company/scientificnet/" target="_blank" rel="noopener" title="Scientific.Net"><i class="inline-icon linkedin-footer-icon social-icon"></i></a> </div> </div> </div> </div> <div class="line-footer"></div> <div class="footer-fluid"> <div class="container"> <div class="row"> <div class="col-xs-12 footer-copyright"> <p> © 2024 Trans Tech Publications Ltd. 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