Research on antenna installation tolerance design based on genetic algorithm

Yongzhi Hua; Jun Kang; Jue Tan

doi:10.1117/12.2679816

18 July 2023 Research on antenna installation tolerance design based on genetic algorithm

Yongzhi Hua, Jun Kang, Jue Tan

Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 127224Y (2023) https://doi.org/10.1117/12.2679816
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China

Abstract

In modern manufacturing industry, the impact of tolerance cost is increasing fast, and reasonable tolerance design plays an important role. Product manufacturing cost was taken as the research object in this paper, the appropriate cost tolerance model was selected, and the tolerance optimization model was established by combining genetic algorithm. Taking antenna window installation as an example, the closed loop dimension chain analysis was carried out first. Then the power exponential tolerance model was used to obtain the cost parameters through the empirical method. Finally, the tolerance optimization problem was transformed into a multi-objective optimization mathematical model. The tolerance values were obtained by genetic algorithm and compared with the equal tolerance method. The results were shown that the manufacturing cost can be effectively reduced by the minimum cost method.

Citation Download Citation

Yongzhi Hua, Jun Kang, and Jue Tan "Research on antenna installation tolerance design based on genetic algorithm", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 127224Y (18 July 2023); https://doi.org/10.1117/12.2679816

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