Multiobjective Optimization of Tool Geometric Parameters Using Genetic Algorithm

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Name</td><td class="align_center">Parameters</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Lathe CY6140</td><td class="align_center">Maximum speed 1600 rev/min; power 7.5 kW</td></tr><tr><td class="align_left">Dynamometer</td><td class="align_center">BeiHang SDC-C4M</td></tr><tr><td class="align_left">Infrared thermograph FLIR T400</td><td class="align_center">Measuring range: −20°C to +1200°C</td></tr><tr><td class="align_left">Workpiece</td><td class="align_center">Ti6Al4V material; diameter Φ150 mm; length 200 mm</td></tr><tr><td class="align_left">Cutting condition</td><td class="align_center"><i>v </i><sub>c</sub> = 122.5 m/min; feed rate <i>f</i> = 0.085 mm/rev</td></tr><tr><td class="align_left">Carbide cutting tool</td><td class="align_center"><i>γ<sub>o</sub> =</i> 18.5<sup>o</sup>; <i>α<sub>o</sub></i> = 5.5<sup>o</sup>; <i>r<sub>ε</sub> =</i> 0.02 mm; cutting edge width 2 mm</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Experimental specifications and conditions.</div>

Complexity

tab5

Table 5

Table 5: Multiobjective Optimization of Tool Geometric Parameters Using Genetic Algorithm 