Multiresponse Optimization of a Compliant Guiding Mechanism Using Hybrid Taguchi-Grey Based Fuzzy Logic Approach

<table class="table-group" id="tab12"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Mechanisms</td><td class="align_center">Displacement (<i>µ</i>m)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">The CGM</td><td class="align_center">195</td></tr><tr><td class="align_left">Reference [<a href="/journals/mpe/2016/5386893/#B15">15</a>]</td><td class="align_center">12</td></tr><tr><td class="align_left">Reference [<a href="/journals/mpe/2016/5386893/#B59">19</a>]</td><td class="align_center">15</td></tr><tr><td class="align_left">Reference [<a href="/journals/mpe/2016/5386893/#B60">20</a>]</td><td class="align_center">20</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Comparison the displacement of GCM with previous mechanisms.

Mathematical Problems in Engineering

tab12

Table 12

Table 12: Multiresponse Optimization of a Compliant Guiding Mechanism Using Hybrid Taguchi-Grey Based Fuzzy Logic Approach 