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)
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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.
ORCID iDs
Luo, Xichun ORCID: https://orcid.org/0000-0002-5024-7058, Liu, Qi ORCID: https://orcid.org/0000-0002-1960-7318, Puthanveettil Madathil, Abhilash ORCID: https://orcid.org/0000-0001-5655-6196 and Xie, Wenkun ORCID: https://orcid.org/0000-0002-5305-7356;-
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Item type: Article ID code: 89342 Dates: DateEvent22 July 2024Published22 July 2024Published Online17 April 2024AcceptedSubjects: Technology > Manufactures
Technology > Mechanical engineering and machineryDepartment: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 22 May 2024 12:44 Last modified: 19 Dec 2024 01:36 URI: https://strathprints.strath.ac.uk/id/eprint/89342