Multi Objective Optimization of Planetary Gear Train

被引:0
作者
Tripathi, Vipin K. [1 ]
Chauhan, Hiten M. [1 ]
机构
[1] Coll Engn, Dept Mech Engn, Pune 411005, Maharashtra, India
来源
SIMULATED EVOLUTION AND LEARNING | 2010年 / 6457卷
关键词
Multi-objective optimization; planetary gear train; Genetic Algorithm; SQP; DESIGN;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In present work, multi-objective optimization of multi-stage planetary gear train is done. Optimization of multi-stage speed reducer is difficult due to involvement of integer variables. Minimizing surface fatigue life factor and minimization of volume of gear box are two conflicting objective functions under consideration. Two methods, one classical (SQP) and other non-traditional (NSGA-II) have been used for analysis to satisfy strength and other geometric criteria. Previous work is concentrated on optimization of spur or helical gears. This work is an extension to earlier work in a sense that planetary gear train with reduced speed involves more geometric constraints.
引用
收藏
页码:578 / 582
页数:5
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