Research on cutting data optimization based on response surface method

Yingchun Li; Jixiang Li; Jiangbo Sun; Xin Li; Zenglu Wang; Zhuangzhuang Zhang; Fei Liu

doi:10.1117/12.3015019

4 March 2024 Research on cutting data optimization based on response surface method

Yingchun Li, Jixiang Li, Jiangbo Sun, Xin Li, Zenglu Wang, Zhuangzhuang Zhang, Fei Liu

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129814P (2024) https://doi.org/10.1117/12.3015019
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

In this paper an improvement of the response surface method is proposed. An iterative strategy is used to determine a response surface that is able to fit the limit state function in the neighborhood of the design point. The locations of the sample points used to evaluate the free parameters of the response surface are chosen according to the importance sensitivity of each random variable. Several analytical and structural examples are considered to demonstrate the advantages of the proposed improvement.

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

Citation Download Citation

Yingchun Li, Jixiang Li, Jiangbo Sun, Xin Li, Zenglu Wang, Zhuangzhuang Zhang, and Fei Liu "Research on cutting data optimization based on response surface method", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129814P (4 March 2024); https://doi.org/10.1117/12.3015019

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