Multi-objective optimization design of cycloid pin gear planetary reducer

A multi-objective optimal model of a K-H-V cycloid pin gear planetary reducer is presented in this article. The optimal model is established by taking the objective functions of the reducer volume, the force of the turning arm bearing, and the maximum bending stress of the pin. The optimization aims...

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Bibliographic Details
Published in:Advances in mechanical engineering 2017-09, Vol.9 (9), p.168781401772005
Main Authors: Wang, Yaliang, Qian, Qijing, Chen, Guoda, Jin, Shousong, Chen, Yong
Format: Article
Language:English
Subjects:
Bending stresses
Classification
Design optimization
Efficiency
Elitism
Friction
Genetic algorithms
Mathematical models
Maximum bending
Multiple objective analysis
Objectives
Pareto optimum
Set theory
Sorting algorithms
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Summary:A multi-objective optimal model of a K-H-V cycloid pin gear planetary reducer is presented in this article. The optimal model is established by taking the objective functions of the reducer volume, the force of the turning arm bearing, and the maximum bending stress of the pin. The optimization aims to decrease these objectives and obtains a set of Pareto optimal solutions. In order to improve the spread of the Pareto front, the density estimation metric (crowding distance) of non-dominated sorting genetic algorithm II is replaced by the k nearest neighbor distance. Then, the improved algorithm is used to solve this optimal model. The results indicate that the modified algorithm can obtain the better Pareto optimal solutions than the solution by the routine design.
ISSN:1687-8132
1687-8140
1687-8140
DOI:10.1177/1687814017720053