Statistical Modelling to Study the Implications of Coated Tools for Machining AA 2014 Using Grey Taguchi-Based Response Surface Methodology

<table class="table-group" id="tab19"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left"><i>S</i> value</td><td class="align_center"><i>R</i><sup>2</sup> value</td><td class="align_center"><i>R</i><sup>2</sup> value (adj.)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">0.0258829</td><td class="align_center">0.9970</td><td class="align_center">0.9760</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Advances in Materials Science and Engineering

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Table 19

Table 19: Statistical Modelling to Study the Implications of Coated Tools for Machining AA 2014 Using Grey Taguchi-Based Response Surface Methodology 

Table 19 | Statistical Modelling to Study the Implications of Coated Tools for Machining AA 2014 Using Grey Taguchi-Based Response Surface Methodology 