Application of adaptive surrogate model in heat treatment production line of aviation manufacturing enterprise

Qingyang Jiao; Yuning Wang; Feng Qu; Haijun Yin; Ming'ang Yin

doi:10.1117/12.3026122

1 April 2024 Application of adaptive surrogate model in heat treatment production line of aviation manufacturing enterprise

Qingyang Jiao, Yuning Wang, Feng Qu, Haijun Yin, Ming'ang Yin

Author Affiliations +

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130823I (2024) https://doi.org/10.1117/12.3026122
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

In response to the problem of poor universality in limiting the widespread application of surrogate model technology in engineering problems, a method for adaptive selection of surrogate models is proposed based on a systematic understanding of the theory and development of surrogate model technology. This method is combined with sequential iterative optimization of surrogate models to form an efficient optimization method with strong universality. Secondly, numerical experiments were conducted on this method using standard test functions to verify its feasibility and superiority in optimization efficiency. Finally, the proposed method is applied to the optimization design of products to verify its feasibility and superiority in practical engineering problems.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qingyang Jiao, Yuning Wang, Feng Qu, Haijun Yin, and Ming'ang Yin "Application of adaptive surrogate model in heat treatment production line of aviation manufacturing enterprise", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130823I (1 April 2024); https://doi.org/10.1117/12.3026122

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