Multi-objective optimization design of assembly tolerance based on improved NSGA-II algorithm

Zhuo Li; Chenwei Feng; Chuanlin Li; Zhenzhe Zhong; Yu Sun

doi:10.1117/12.2655688

7 October 2022 Multi-objective optimization design of assembly tolerance based on improved NSGA-II algorithm

Zhuo Li, Chenwei Feng, Chuanlin Li, Zhenzhe Zhong, Yu Sun

Proceedings Volume 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022); 1234419 (2022) https://doi.org/10.1117/12.2655688
Event: International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 2022, Zhuhai, China

Abstract

A multi-objective optimal design scheme for tolerance combination based on improved NSGA-II algorithm is established to reduce the production cost, standardize the tolerance design and improve the qualification rate of the rear cover of a product. The production cost function and quality loss function are used as the objective function, and the genetic algorithm with elite strategy and improved genetic variation factor is used to optimize the simulation of the assembly tolerance combination and obtain the optimal Pareto solution set. The results of the tolerance combination show that the optimized assembly tolerance combination is used to reduce both production cost and quality loss cost.

Citation Download Citation

Zhuo Li, Chenwei Feng, Chuanlin Li, Zhenzhe Zhong, and Yu Sun "Multi-objective optimization design of assembly tolerance based on improved NSGA-II algorithm", Proc. SPIE 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 1234419 (7 October 2022); https://doi.org/10.1117/12.2655688

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