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Multi-objective optimization of high-speed coupling based on BPNN and MOOGA

Published:2024-03-06 author:WANG Yilin, WANG Weimin, LI Weibo, et al. Browse: 459 Check PDF documents

Multiobjective optimization of high-speed coupling based on

BPNN and MOOGA

WANG Yilin1,2, WANG Weimin1,2,3, LI Weibo1,2, WANG Jiale1,2, ZHANG Shuai1,2

(1.School of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China; 2.Beijing

Key Laboratory of Health Monitoring Control and Fault Self-recovery for High-end Machinery, Beijing University of Chemical

Technology, Beijing 100029, China; 3.State Key Laboratory of High-End Compressor and System Technology, Beijing University

of Chemical Technology, Beijing 100029, China)

Abstract: Aiming at the problem of difficult to ensure the strength and dynamic characteristics of diaphragm coupling under high speed and compound working conditions, the strength and dynamic characteristics of the existing disc coupling were studied, an optimization method based on back-propagation neural network (BPNN) and multi-objective optimization genetic algorithm (MOOGA) was proposed. Firstly, in order to obtain the key parameters required for optimization, based on the method of orthogonal experiment combined with multivariate analysis of variance, the key parameters were selected. Then, based on the BPNN model, the objective function of the key parameters and cross-sectional stress was constructed, as well as the objective function of the key parameters and bending stiffness was constructed, the accuracy of the polynomial solution objective function was compared, and the accuracy of the BPNN method in solving the objective function was verified. Finally, multi-objective optimization of the coupling design parameters was carried out through MOOGA, the optimization results were compared with those before optimization. The research results indicate that the proposed method is used to optimize the design parameters of the coupling, and the dangerous cross-sectional stress of the disc can be effectively reduced under the condition of meeting the stiffness requirements of the coupling. After optimization, the dangerous stress of the coupling is reduced by 18.2%, the bending stiffness of the coupling is reduced by 5.05%, and the angular compensation capacity of the coupling is increased by 0.1°. The effectiveness of the simulation is proved and a reference is provided for the parameter optimization design of flexible couplings.

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