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Erschienen in:
2013 | OriginalPaper | Buchkapitel
The Optimization of Two-Stage Planetary Gear Train Based on Mathmatica
verfasst von : Tianpei Chen, Zhengyan Zhang, Dingfang Chen, Yongzhi Li
Erschienen in: Pervasive Computing and the Networked World
Verlag: Springer Berlin Heidelberg
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Planetary gear reducer has a lot of advantages,such as high transmission and efficiency, compact structure, and has a variety of applications in construction machinery and equipment, hoisting and conveying machinery and so on,.The optimization design of the planetary gear train could make the volume at minimum(as well as the weight at minimum) under the conditions of carrying capacity.This paper focus on the optimization of two stage planetary gear train with the differential evolution algorithm, based on Mathmatica. The author established mathematical model and source program is present in this paper. After the optimization, the author verifies the optimal result, including the contact fatigue stress and tooth bending strength fatigue stress. The verification infers that the optimization based on Mathmatica with differential evolution algorithm is effective and correct.