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M.Tech / M.E / PhD Thesis | Manufacturing Engineering | India | Volume 5 Issue 7, July 2016
Optimization of Material Removal Rate and Surface Roughness for EN31 Steel in Wire-EDM Process
R. Santosh Kumar [18] | A. Balaram Naik
Abstract: In the present work an attempt is been made to optimise the performance parameters of wire-cut electric discharge machining on EN31 alloy steel, this is achieved by adjusting the input parameters. Non-electrical input parameters are chosen in the experiment and they were wire feed-rate, wire tension, duty factor and dielectric pressure. Here fractional factorial method is used for design of experiment and trails were conducted based on it. The data obtained from the experimental trails is utilised to deduce optimum input parameters for best machining performance based on greys relational analysis. And finally the influence of each parameter chosen for the experimentation is also established.
Keywords: WEDM, Alloy steel, MRR, Surface roughness, Fractional Factorial method, Grey relational Analysis GRA
Edition: Volume 5 Issue 7, July 2016,
Pages: 789 - 792
Similar Articles with Keyword 'MRR'
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Experimental Result Paper, Manufacturing Engineering, Vietnam, Volume 11 Issue 6, June 2022
Pages: 1224 - 1227Multi-Objective Optimization of Turning Parameters to Minimize Surface Roughness and Material Removal Rate Using TOPSIS Combining Entropy Weight
Nguyen Anh Thang | Truong Van Luong | Tran Van Hieu
Downloads: 123
Research Paper, Manufacturing Engineering, India, Volume 3 Issue 9, September 2014
Pages: 138 - 145Trade Off Among Conflicting Multi Objectives of CNC End Milling Process for LM6 Al/SiCp
Neeraj Kumar [11] | K. K. Chhabra