Optimization of WEDM process during machining of Al-Al2O3 composite using Taguchi based Grey Relational Analysis

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Abstract

Aluminium ceramic (Al-Al2O3) is used comprehensively all over the world. In this paper, input parameters on Al-Al2O3 workpiece are applied to investigate the MRR and surface roughness by the process of wire electrical machining (WEDM).Four varying input parameters (Ton, Toff, Wf and Cs%) were tabulated for nine samples using L9 orthogonal array design technique whereas keeping wire tension as constant. Tool wear is calculated as the change in initial thickness and final thickness after cutting operation using screw gauge. The surface roughness is found using surface roughness tester.Minitab is used to plot the graph between input parameters against various output parameters. To find the impact of process parameters, ANOVA (Analysis of Variance) is used.

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Singla, A. M., Sharma, S., Kaul, A., & Rajyalakshmi, G. (2018). Optimization of WEDM process during machining of Al-Al2O3 composite using Taguchi based Grey Relational Analysis. In MATEC Web of Conferences (Vol. 172). EDP Sciences. https://doi.org/10.1051/matecconf/201817204008

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