MRR | p. 2 | Scientific.Net

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class="pagination"><li class="PagedList-skipToPrevious"><a href="/paper-keyword/mrr/1" rel="prev"><</a></li><li><a href="/paper-keyword/mrr/1">1</a></li><li class="active"><span>2</span></li><li><a href="/paper-keyword/mrr/3">3</a></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/3" 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="/KEM.933.107">Analysis of Microsurface Characteristics during Micro-Electrochemical Texturing on Stainless Steel</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Sandip Kunar, Srikanth Karumuri, Itha Veeranjaneyulu, G. Belachew, Sreenivasa Reddy Medapati </div> </div> <div id="abstractTextBlock588049" class="volume-info volume-info-text volume-info-description"> Abstract: A novel approach of Micro-electrochemical Texturing (MET) is a realistic substitute for generating surface textures of machined surface. Several conventional and non-conventional techniques i.e., embossing, sand blasting, pinning, LBM, EDM etc. are available for generating microsurface textures, but creates several problems to generate microtextured surfaces which reduce the quality and lower the productivity. To overcome these limitations, this research proposes a unique microsurface texturing method namely, micro-electrochemical texturing, based on electrochemical reaction. Due to the high flexibility of the micro-electrochemical texturing system, micro-texturing features, surface roughness and its performance can be easily changed by varying the micro-electrochemical parameters. In this research paper, this process is developed to fabricate the microsurface textures on stainless steel specimens economically with less time. The experimental results of surface characteristics generated on workpiece utilizing the developed setup with vertical cross flow electrolyte circulation system in micro-electrochemical texturing method are presented. The effects of duty ratio and voltage on performance criteria i.e., material removal rate (MRR), taper kerf angle and surface roughness are investigated. The obtained overall surface roughness value on the stainless-steel samples machined by micro-electrochemical texturing technique is 0.08μm. </div> <div> <a data-readmore="{ block: '#abstractTextBlock588049', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 107 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/AST.120.117">WEDM Parametric Study on Machining Responses of AA-6082/MoS<sub>2</sub>/Al<sub>2</sub>O<sub>3</sub> HMMCs</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Ch. Lakshmi Srinivas, N. Bharat Kumar, N. Brahmaiah, P. Siva Kumar, P. Abhinash, D. Vijay Praveen </div> </div> <div id="abstractTextBlock589385" class="volume-info volume-info-text volume-info-description"> Abstract: The current research paper was focused on investigating the influence of wire electrical discharge machining parameters on machining responses of AA-6082/MoS<sub>2</sub>/Al<sub>2</sub>O<sub>3</sub> Hybrid Metal Matrix Composites (HMMCs). In this paper, Taguchi L<sub>18</sub> (2^1 ×3^4) orthogonal array was adopted to conduct the experiments. From the experimental investigations, it was observed that the electrode wire type, pulse on time, and pulse off time have shown a remarkable effect on the machining responses. Keywords: Al-MMC, AA-6082, Stir casting, MRR, Taguchi method </div> <div> <a data-readmore="{ block: '#abstractTextBlock589385', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 117 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/MSF.1028.391">Parameter Design of EDM Process to Optimize Surface Roughness and Material Removal Rate Using Taguchi Method</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Muhammad Firly Firmansyah, Suwarno Suwarno, Yanuar Rohmat Aji Pradana, Suprayitno Suprayitno </div> </div> <div id="abstractTextBlock574895" class="volume-info volume-info-text volume-info-description"> Abstract: Electrical discharge machining (EDM) is a non-conventional process that is widely used for high-precision machining, complex product shapes, and high hardness materials. The EDM mechanism is based on the thermoelectric energy between the electrode and the workpiece. The EDM process has many parameters that can be adjusted, such as discharge current, voltage, pulse on time, pulse off time, electrode polarity, workpiece material, electrode material, dielectric fluid type, flushing pressure, flushing direction and flushing method. This study aims to find the parameters of the EDM process to optimize its productivity indicated by material removal rate (MRR) and its quality indicated by surface roughness of SS-316 material. The varied parameters were discharge current, pulse on time, and pulse off time with 3 levels for each parameter. Fractional orthogonal array L9 were applied for three 3-level variables. Performance fluctuation due to noise factors were simply approximated by 3 replicating measurements to estimate mean and standard deviation. Taguchi S/N ratio were adopted as robustness index for the optimum parameter design. The optimization results show that the discharge current 30A, pulse on time 100μs, and pulse off time 8μs are the optimum for MRR. As for surface roughness, the discharge current is 10A, pulse on time is 100μs, and pulse off time is 8μs. The only different of EDM parameter for optimum MRR and optimum Ra is discharge current. </div> <div> <a data-readmore="{ block: '#abstractTextBlock574895', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 391 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/AMR.1158.115">Study of Surface Roughness and MRR in Turning of SiC Reinforced Al Alloy Composite Using Taguchi Design Method, ANN and PCA Approach under MQL Cutting Condition</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Md. Rezaul Karim, Rifat Ahasan Siddique, Farhana Dilwar </div> </div> <div id="abstractTextBlock545452" class="volume-info volume-info-text volume-info-description"> Abstract: This paper emphases on the effect of various machining constraint on surface roughness and material removal rate in turning SiC reinforced Al alloy composite through taguchi orthogonal array based experimental analysis which has been further optimized using principal component analysis (PCA). Experimental investigation has been conducted under minimum quality lubricant (MQL) cutting environment. Palm oil has been used as lubricant where flow rate and pressure were kept at 120 ml/hr and 8 bar. The whole experiment has been designed using L<sub>25 </sub>orthogonal array having three input parameters and five different level to measure surface roughness and material removal rate. Taguchi S/N ratio-based optimization has been implemented where smaller the better criteria has been used for surface roughness whereas larger the better criteria has been used for material removal rate. From Analysis of variance, it is observed that cutting speed and feed rate are the most prominent factor for surface roughness. Nevertheless, Depth of cut and cutting speed are the most dominant factor for material removal rate. While comparing the predicted output values with experimental values, MAPE value is found in the range of 0.23 % for surface roughness and 0.045 % for material removal rate which is in very much tolerable range. Correlation coefficient value for experimental values of the resultant output is 0.98286 and 0.99869 respectively which signifies the effectiveness of the whole experiment. Subsequently, machining parameters were optimized using PCA technique. To attain satisfactory response values, depth of cut, cutting speed and feed rate need to be at 0.85 mm, 396 m/min and 0.16 mm/rev respectively. By applying the model, surface roughness of 0.7257 μm and MRR of 53856 mm<sup>3</sup>/min can be obtained. Keywords: SiC reinforced Al alloy; Turing; Minimum Quality Lubricant; Surface Roughness; MRR; Taguchi orthogonal array; Principal component analysis </div> <div> <a data-readmore="{ block: '#abstractTextBlock545452', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 115 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/MSF.978.49">Experimental Analysis of Canola Oil as Dielectric Fluid in Electric Discharge Machining of AISI D2 Steel</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Kusumba Mangapathi Rao, D. Vinay Kumar, K.Chandra Shekar, B. Singaravel </div> </div> <div id="abstractTextBlock545117" class="volume-info volume-info-text volume-info-description"> Abstract: Electric Discharge Machining (EDM) is a thermo-electrical disintegration process, utilized to cut hard materials into complex shapes. In EDM, the three vital components are work-piece material, electrode material and dielectric liquid. The significant function of the dielectric fluid is to produce a breakdown voltage for creating a spark between work-piece and electrode. This spark creates ionization by plasma generation and it expels the material from work-piece. In most cases, hydrocarbon-based dielectric liquid is preferred in the EDM process. This kind of dielectric liquid generates hazardous gases which are harmful to people, environment and ecological balances. In this experiment, Canola oil is utilized and the outcomes are compared. The input parameters are Pulse on/off time, current and gap voltage. Copper, Brass and Tungsten-Copper (Alloy) are used as electrodes. The output values from the experiments are Surface Roughness (SR), Electrode Wear Rate (EWR) and Material Removal Rate (MRR). The outcomes demonstrated that Canola oil-based dielectric fluid has comparable properties of conventional based dielectric fluid. This Canola based dielectric gives more prominent MRR value than EDM oil-based dielectric liquid and furthermore higher EWR and SR values are recorded. The proposed Canola oil-based dielectric fluid is biodegradable and has improved suitability in machining. </div> <div> <a data-readmore="{ block: '#abstractTextBlock545117', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 49 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/MSF.969.846">Investigation on Machining of Hybrid Metal Matrix Composite</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Anil Kumar Bodukuri, Kesha Eswaraiah, V. Pradeep </div> </div> <div id="abstractTextBlock545618" class="volume-info volume-info-text volume-info-description"> Abstract: Hybrid metal matrix composites (HMMC) are advanced materials which are not simply depicting in improvement of mechanical properties but also on characteristics of machinability for thorny shapes to machine. Electric discharge machining (EDM) shows a potential technique for machining hybrid metal matrix composites. An investigation is done on hybrid metal matrix composite for response parameters like MRR, TWR by conducting a range of experiments with choosing typical process parameters such as peak current, tool lift, pulse-on time and pulse-off time. </div> <div> <a data-readmore="{ block: '#abstractTextBlock545618', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 846 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/MSF.969.650">Some Preliminary Experimental Investigations on Inconel-718 Alloy with Rotary Tool-Electrode Assisted EDM</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Rakesh Kumar, Anand Pandey, Pooja Sharma </div> </div> <div id="abstractTextBlock539974" class="volume-info volume-info-text volume-info-description"> Abstract: In this paper, some preliminary experimental investigations have been reported for analysing the machining performance characteristics viz. Material Removal Rate (MRR) & Tool Wear Rate (TWR). Electrical Discharge Machining (EDM) of Inconel-718 alloy via helical threaded cryogenically treated rotary copper tool electrode is conducted. Impact of machining factors viz. peak current (I<sub>p</sub>), pulse-on time (T<sub>on</sub>), tool rotation (N<sub>t</sub>) & hole depth (h) were investigated using Taguchi’s L<sub>9</sub> (3<sup>4</sup>) Orthogonal Array (OA). Optimum arrangements of factors for greatest MRR & least TWR were found in current study. Results predicts that I<sub>p</sub> & N<sub>t</sub> are two most affecting machining factors that affects MRR. Whereas I<sub>p</sub> & T<sub>on </sub>are two most affecting machining factors that affects TWR. </div> <div> <a data-readmore="{ block: '#abstractTextBlock539974', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 650 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/MSF.911.20">Micro Electro Discharge Machining of Non-Conductive Ceramic</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Yeakub Ali Mohammad, Md Abdul Maleque, Asfana Banu, Abdus Sabur, Sujan Debnath </div> </div> <div id="abstractTextBlock528006" class="volume-info volume-info-text volume-info-description"> Abstract: Electro discharge machining (EDM) as a die sinking process has taken off in 1943. Since then it was known as a non-conventional machining process and its application was limited for processing only electrically conductive materials. Later on, due to the widespread applications, this EDM process is considered conventional as usual. However, in the recent years EDM has gone through considerable changes especially with dielectric fluids, simple to complex geometry, meso to micro sized structures, nanometric surface finish, and so on. In addition, the application of EDM has also been extended for processing electrically semi-conductive and non-conductive materials like ceramics and composites. This paper discussed micro electro discharge machining of non-conductive ceramic materials. It includes detail process development, modelling of material removal rate and surface finish which include the effect of multi spark and random spalling conditions. </div> <div> <a data-readmore="{ block: '#abstractTextBlock528006', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 20 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/SSP.266.38">Machinability of Inconel 625 Aerospace Material Using Cryogenically Treated WEDM</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: Ashish Goyal, Anand Pandey, Pooja Sharma </div> </div> <div id="abstractTextBlock526449" class="volume-info volume-info-text volume-info-description"> Abstract: Machinability of aerospace material, Inconel 625 through Wire cut electrical discharge machining has been performed and compared using Taguchi’s Orthogonal L18 (2<sup>1</sup>*3<sup>5</sup>). Normal diffused and cryogenic treated diffused wires are being used as a tool electrode to investigate the effects of machining parameters viz. tool electrode, peak current, pulse on time, pulse off time, wire feed and wire tension on the response MRR. The present study resulted that cryogenic treated tool electrode give better performance in comparison to normal wire electrode assisting in improving stock removal and less electrode wear. Pulse on time and peak current are observed as the most influenced parameter. Scanning Electron Microscopy (SEM) studies has been conducted and presented. </div> <div> <a data-readmore="{ block: '#abstractTextBlock526449', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 38 </div> </div> <div class="item-block"> <div class="item-link"> <a href="/AMM.867.73">Optimization of Material Removal Rate in Wire-EDM Using Fuzzy Logic and Artifical Neural Network</a> </div> <div class="item-link volume-authors"> <div class="semibold-middle-text"> Authors: R. Ashok, L. Poovazhagan, S. Srinath Ramkumar, S. Vignesh Kumar </div> </div> <div id="abstractTextBlock503770" class="volume-info volume-info-text volume-info-description"> Abstract: Present work aims to develop a model and optimize the material removal rate (MRR) in complex wire electric discharge machining (EDM) process. Initially various percentages of aluminium alloy hybrid Nanocomposites were fabricated by novel ultrasonication method. The sample specimens were cut and machined using wire EDM. Experiments were carried out using Taguchi’s L18 orthogonal array under different cutting parameters like Pulse-on, Pulse- off, current and servo voltage. Fuzzy-based Taguchi method and artificial neural network (ANN) with back propagation algorithm were used to optimize the material removal rate. Both ANN and fuzzy logic based models were developed in MATLAB software and the models were trained for estimating the MRR and improving the machining parameter. </div> <div> <a data-readmore="{ block: '#abstractTextBlock503770', lines: 2, expandText: '...more', collapseText: '...less' }"></a> </div> <div class="page-number semibold-large-text"> 73 </div> </div> <div class="block-bottom-pagination"> <div class="pager-info"> Showing 11 to 20 of 76 Paper Titles </div> <div class="pagination-container"><ul class="pagination"><li class="PagedList-skipToPrevious"><a href="/paper-keyword/mrr/1" rel="prev"><</a></li><li><a href="/paper-keyword/mrr/1">1</a></li><li class="active"><span>2</span></li><li><a href="/paper-keyword/mrr/3">3</a></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/3" 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="/open-access-partners">Open Access Partners</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> © 2025 Trans Tech Publications Ltd. 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