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Optimization Design of 3Z(Ⅱ) Planetary Gear Train based on Parallel Selected Genetic Algorithm

Authors :
Zhang Qiang
Liu Zefeng
Source :
Jixie chuandong, Vol 41, Pp 151-154 (2017)
Publication Year :
2017
Publisher :
Editorial Office of Journal of Mechanical Transmission, 2017.

Abstract

The optimization design method of 3Z( Ⅱ) planetary gear train is studied. The multiple object optimization model,whose objective functions are the minimum of volume of gear train and the maximum of transmission efficiency is built. The constrained optimization is transformed into unconstrained optimization by penalty function,and a solution algorithm is proposed based on parallelism selection genetic algorithm( GA).The case shows,the proposed method can apply to the optimization methods of 3Z( Ⅱ) planetary gear train and the optimization effects are noticeable. There is much for reference of this method to other optimization of planetary gear train.

Details

Language :
Chinese
ISSN :
10042539
Volume :
41
Database :
Directory of Open Access Journals
Journal :
Jixie chuandong
Publication Type :
Academic Journal
Accession number :
edsdoj.007262b0a6f341cf8fd8ddf4ef7b85ad
Document Type :
article
Full Text :
https://doi.org/10.16578/j.issn.1004.2539.2017.01.032