Research on Multistage Rotor Assembly Optimization Methods for Aeroengine Based on the Genetic Algorithm

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Optimal solution</td><td class="align_center">Maximum value (°)</td><td class="align_center">Minimum value (°)</td><td class="align_center">Mean value (°)</td><td class="align_center">Standard deviation (°)</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left"><i>θz</i><sub>2</sub></td><td class="align_center">180</td><td class="align_center">159.62</td><td class="align_center">179.88</td><td class="align_center">0.2798</td></tr><tr><td class="align_left"><i>θz</i><sub>3</sub></td><td class="align_center">180</td><td class="align_center">145.91</td><td class="align_center">179.89</td><td class="align_center">0.7174</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The Monte Carlo simulation results.</div>

Complexity

tab6

Table 6

Table 6: Research on Multistage Rotor Assembly Optimization Methods for Aeroengine Based on the Genetic Algorithm 