Multiresponse Optimization of Wire Electrical Discharge Machining Parameters for Ti-6Al-2Sn-4Zr-2Mo (<i>α</i>-<i>β</i>) Alloy Using Taguchi-Grey Relational Approach

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Titanium</td><td class="align_center">Aluminium</td><td class="align_center">Tin</td><td class="align_center">Zirconium</td><td class="align_center">Molybdenum</td><td class="align_center">Others (H, O, C, N, and Si)</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">85.0–86.0</td><td class="align_center">5.0–6.0</td><td class="align_center">1.95</td><td class="align_center">3.80</td><td class="align_center">1.8–2.0</td><td class="align_center">&lt;0.0189</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The chemical composition of Ti-6242 alpha-beta alloy (in wt.%).</div>

Advances in Materials Science and Engineering

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Table 1

Table 1: Multiresponse Optimization of Wire Electrical Discharge Machining Parameters for Ti-6Al-2Sn-4Zr-2Mo (<i>α</i>-<i>β</i>) Alloy Using Taguchi-Grey Relational Approach 

Table 1 | Multiresponse Optimization of Wire Electrical Discharge Machining Parameters for Ti-6Al-2Sn-4Zr-2Mo (α-β) Alloy Using Taguchi-Grey Relational Approach 