Research on adaptive grinding of curved optical parts based on neural network control strategy

Mingli Xie; Yipeng Pan; Zhipeng Li; Xuhang Zheng; Zijun An; Min Dong

doi:10.1117/12.2605339

15 February 2022 Research on adaptive grinding of curved optical parts based on neural network control strategy

Mingli Xie, Yipeng Pan, Zhipeng Li, Xuhang Zheng, Zijun An, Min Dong

Proceedings Volume 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021); 121660H (2022) https://doi.org/10.1117/12.2605339
Event: Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 2021, Hong Kong, Hong Kong

Abstract

Taking the grinding process of curved optical parts as the research object, a neural network based the adaptive control method is proposed. MATALAB is used to design the controller and simulate the grinding process. The results show that the method can effectively solve the fluctuation of the grinding force in the grinding process, and the controller has good dynamic characteristics, The purpose of the optimal material cutting rate in the grinding process is realized, and the surface processing quality of optical parts is improved.

Citation Download Citation

Mingli Xie, Yipeng Pan, Zhipeng Li, Xuhang Zheng, Zijun An, and Min Dong "Research on adaptive grinding of curved optical parts based on neural network control strategy", Proc. SPIE 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 121660H (15 February 2022); https://doi.org/10.1117/12.2605339

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