Open AccessLightweight Design of Vertical Lathe Bed for Repairing Wheel based on ANSYS Workbench
Author(s) -
Qingping Zhang,
Jianhua Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1676/1/012031
Subject(s) - workbench , genetic algorithm , scheme (mathematics) , optimal design , casting , engineering , computer science , structural engineering , mathematical optimization , mechanical engineering , mathematics , materials science , mathematical analysis , composite material , machine learning , visualization
The casting bed of vertical lathe for repairing wheel hub is optimized to realize the lightweight design. The optimal selection scheme is optimized to improve the first natural frequency and reduce weight. Multi-objective genetic algorithm is based on the general algorithm of genetic algorithm to solve the problem. The five important dimensions of the bed structure are multi-objective optimized to determine the best optimization scheme. According to the results of multi-objective optimization design of bed, the optimal design scheme based on objective optimization is obtained. After the parameters are rounded, the casting bed is brought into the whole machine model, and the static analysis of the whole machine is carried out to check the safety of the structure.