Resistance Spot Welding Optimization Based on Artificial Neural Network

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td align="center" colspan="4">Temper  </td></tr><tr class="thead"><td align="center" colspan="4">T6</td></tr><tr class="thead"><td align="left">Tensile tests</td><td align="center">Ultimate (MPA)</td><td align="center">Yield (MPA)</td><td align="center">Elongation (%)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="left">Min.: Max.</td><td align="center">337 : 340</td><td align="center">286 : 288</td><td align="center">13.6 : 13.9</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

6061-T6 aluminum alloy mechanical properties. 

International Journal of Manufacturing Engineering

tab2

Table 2

Table 2: Resistance Spot Welding Optimization Based on Artificial Neural Network 