Predictive digital twin-driven dynamic error control for slow-tool-servo ultraprecision diamond turning

Luo, Xichun and Liu, Qi and Puthanveettil Madathil, Abhilash and Xie, Wenkun (2024) Predictive digital twin-driven dynamic error control for slow-tool-servo ultraprecision diamond turning. CIRP Annals - Manufacturing Technology, 73 (1). pp. 377-380. ISSN 0007-8506 (https://doi.org/10.1016/j.cirp.2024.04.080)

[thumbnail of Luo-etal-CIRPA-2024-Predictive-digital-twin-driven-dynamic-error-control-for-slow-tool-servo-ultraprecision]
Preview
Text. Filename: Luo-etal-CIRPA-2024-Predictive-digital-twin-driven-dynamic-error-control-for-slow-tool-servo-ultraprecision.pdf
License: Creative Commons Attribution 4.0 logo

Download (1MB)| Preview

Abstract

A predictive digital twin (DT)-driven dynamic error control approach is presented for accuracy control in high-frequency slow-tool-servo ultraprecision diamond turning processes. An explainable artificial intelligence-enabled real-time DT of the total dynamic error (inside and outside the servo loop) was established using in-line acceleration input data near the tool. A feedforward controller was used to mitigate the total dynamic errors before they came into effect. The machining trials using this approach showed that significant improvement in machining accuracy (87%, surface form accuracy; 95%, phase accuracy with precisions of 0.06 µm and 0.05°), and efficiency (8 times the state-of-the-art) were successfully achieved.