用于慢刀伺服超精密金刚石车削的预测性数字孪生驱动动态误差控制

IF 3.2 3区工程技术 Q2 ENGINEERING, INDUSTRIAL

Cirp Annals-Manufacturing Technology Pub Date : 2024-01-01 DOI:10.1016/j.cirp.2024.04.080

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引用次数: 0

摘要

本文介绍了一种预测性数字孪生（DT）驱动的动态误差控制方法，用于高频慢刀伺服超精密金刚石车削工艺的精度控制。利用刀具附近的在线加速度输入数据，建立了可解释的人工智能实时总动态误差 DT（伺服环路内部和外部）。前馈控制器可在总动态误差产生之前将其减小。使用这种方法进行的加工试验表明，加工精度（87%，表面形状精度；95%，相位精度，精度分别为 0.06 µm 和 0.05°）和效率（是最先进水平的 8 倍）都得到了显著提高。

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

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.

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来源期刊

Cirp Annals-Manufacturing Technology 工程技术-工程：工业

CiteScore

7.50

自引率

9.80%

发文量

137

审稿时长

13.5 months

期刊介绍： CIRP, The International Academy for Production Engineering, was founded in 1951 to promote, by scientific research, the development of all aspects of manufacturing technology covering the optimization, control and management of processes, machines and systems. This biannual ISI cited journal contains approximately 140 refereed technical and keynote papers. Subject areas covered include: Assembly, Cutting, Design, Electro-Physical and Chemical Processes, Forming, Abrasive processes, Surfaces, Machines, Production Systems and Organizations, Precision Engineering and Metrology, Life-Cycle Engineering, Microsystems Technology (MST), Nanotechnology.