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24 October 2022 Multidisciplinary collaborative optimization for product design based on dual-loop wolf pack algorithm
Xuerui Zhao, Zian Zhao, Hong Zhou
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Proceedings Volume 12289, International Conference on Intelligent Manufacturing and Industrial Automation (CIMIA 2022); 1228907 (2022) https://doi.org/10.1117/12.2640756
Event: International Conference on Intelligent Manufacturing and Industrial Automation (CIMIA 2022), 2022, Kunming, China
Abstract
Complex product design generally involves multiple subdisciplines or subsystems. In this study, taking the two-stage planetary gear transmission system as an example, a multi-objective optimization model for multidisciplinary design is established and solved by collaborative optimization method. The goal of the optimization is to simultaneously minimize volume and maximize efficiency. In the model, the sequential quadratic programming (SQP) method is used for individual disciplinary optimization, and an improved wolf pack algorithm is developed as the optimizer at system level for the CO method. It is shown that the proposed method can realize the requirement of miniaturization of the part while ensuring the transmission efficiency almost undamaged, and obtains accurate and efficient optimization results.
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Xuerui Zhao, Zian Zhao, and Hong Zhou "Multidisciplinary collaborative optimization for product design based on dual-loop wolf pack algorithm", Proc. SPIE 12289, International Conference on Intelligent Manufacturing and Industrial Automation (CIMIA 2022), 1228907 (24 October 2022); https://doi.org/10.1117/12.2640756
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KEYWORDS
Optimization (mathematics)
Algorithm development
Product engineering
Computer programming
Planetary systems
Complex systems
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