A prediction method of product machining accuracy based on domain adaption

Longlong Li; Haipeng Wu; Qian Tang; Zhihang Li

doi:10.1117/12.3004173

11 October 2023 A prediction method of product machining accuracy based on domain adaption

Longlong Li, Haipeng Wu, Qian Tang, Zhihang Li

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128006O (2023) https://doi.org/10.1117/12.3004173
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

In modern machine tool processing, predicting the precision of processed products has become an important research issue in the field of machine tool processing. Based on the analysis of the displacement data, a prediction model optimization method (CRLSTM-TCN) based on the combination of domain-adaptive long short-term memory network and temporal convolutional neural network is proposed. Experiments show that this method solves the problem of processing accuracy prediction in the case of insufficient sample size.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Longlong Li, Haipeng Wu, Qian Tang, and Zhihang Li "A prediction method of product machining accuracy based on domain adaption", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128006O (11 October 2023); https://doi.org/10.1117/12.3004173

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