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Multi-objective optimization of reducer planet carrier based on response surface method
Published:2022-03-17 author:LI Zhi-yuan, PEI Bang, LI Xue-fei, et al. Browse: 722 Check PDF documents
Multi-objective optimization of reducer planet carrier 
based on response surface method


LI Zhi-yuan, PEI Bang, LI Xue-fei, CHEN Zhuo, HUANG Xiao-dan

(Zhengzhou Research Institute of Mechanical Engineering Co., Ltd., Zhengzhou 450001, China)


Abstract:  Aiming at the problems of insufficient strength and excessive mass of the planet carrier of a two-stage planetary gear reducer, the stress distribution of the planet carrier was analyzed. The multi-objective optimization of planet carrier was carried out. Firstly, the strength of planet carrier through two different schemes was analyzed(among them, scheme 1 adopted the method of directly loading bearing force, scheme 2 adopted the rigid flexible coupling model of planet carrier assembly), and two different stress and stress distribution results were obtained. Then, through the analysis of its actual working conditions, the results show that the boundary conditions of scheme 2 were the most practical. Finally, on the basis of scheme 2, the multi-objective optimization of planetary carrier was carried out. The CCD experimental design method was used for sample sampling calculation, and then the Kriging response surface method was used to fit the sample data to obtain the response surface model. The multiobjective optimization was carried out according to the response surface model to obtain the optimal solution. The experimental results show that the maximum stress position of the planet carrier is the contact part between the output end and the shaft, and the force on the panels at both ends of the planet carrier is asymmetric. The structure and stiffness of the planetary shaft have a great influence on the stress of the planetary carrier. Through optimization, the maximum equivalent stress of the planet carrier can be reduced by 10.1%, the maximum deformation can be reduced by 34%, and the mass can be reduced by 24.8%.

Key words:  reducer;planet carrier; multi-objective optimization; response surface method; rigid-flexible coupling


LI Zhi-yuan, PEI Bang, LI Xue-fei, et al. Multi-objective optimization of reducer planet carrier based on response surface method[J].Journal of Mechanical & Electrical Engineering, 2022,39(1):26-31,39.

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