Integrating the TRIZ and Taguchi's Method in the Optimization of Processes Parameters for SMT

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td align="left"> </td><td align="center">Before improvement (current)</td><td align="center">Forecast optimization</td><td align="center">Confirmation experiment</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="left"><svg height="14.85" id="M231" style="vertical-align:-2.22495pt" version="1.1" viewbox="0 0 30.15 14.85" width="30.15" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> ratio</td><td align="center">21.732db</td><td align="center">26.562 db</td><td align="center">26.632 db</td></tr><tr><td align="left">Mean</td><td align="center">0.163 mm</td><td align="center">0.147 mm</td><td align="center">0.155 mm</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Comparison of values before improvement (current), forecast optimization, and confirmation experiments.

Advances in Materials Science and Engineering

tab7

Table 7

Table 7: Integrating the TRIZ and Taguchi's Method in the Optimization of Processes Parameters for SMT 