NDLI: Parameter optimization of harmonic gear drive based on hybrid genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Bo Zeng Ran Ding Zefang Zhou Zhonglai Wang Huanwei Xu
Copyright Year	2012
Description	Author affiliation: School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, China (Bo Zeng; Ran Ding; Zefang Zhou; Zhonglai Wang; Huanwei Xu)
Abstract	Addressing problems of larger volume of harmonic gear in the conventional design, in this paper, a mathematical model of optimization with hybrid discrete variables is proposed by taking the modulus of harmonic gear transmission parameters m, the length of flexspline L, wall thickness δ and tooth width of flexspline b as design variables, and the sum of volume of circular spline and flexspline as an objective function to be minimized. During the procedure of optimization, the basic idea of the hybrid genetic algorithm is constructed, and the basic procedure of the hybrid genetic algorithm is compiled. The hybrid genetic algorithm used in the parameter optimization of harmonic gear drive is testified to be effective, and optimization results can meet the design standard. Therefore, the proposed method will be of the significant guiding value to engineering practices.
Starting Page	1089
Ending Page	1092
File Size	1309517
Page Count	4
File Format	PDF
ISBN	9781467307864
e-ISBN	9781467307888
DOI	10.1109/ICQR2MSE.2012.6246411
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hybrid genetic algorithm Gears Harmonic gear drive Harmonic analysis Genetics Mathematical model Parameter optimization Splines (mathematics) Optimization Genetic algorithms
Content Type	Text
Resource Type	Article

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