Ultra-Precision Diamond Turning Error Compensation via Iterative Learning from On-machine Measured Data

被引:0
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作者
ZaoZao Chen
WeiWei Huang
ZhiWei Zhu
XinQuan Zhang
LiMin Zhu
XiangQian Jiang
机构
[1] Shanghai Jiao Tong University,State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering
[2] Nanjing University of Science and Technology,The School of Mechanical Engineering
[3] University of Huddersfield,Engineering and Physical Sciences Research Council (EPSRC) Future Metrology Hub, School of Computing and Engineering
关键词
On-machine measurement; Ultra-precision machining; Compensation strategy; Iterative learning;
D O I
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中图分类号
学科分类号
摘要
In ultra-precision diamond turning, the reduction of machining form errors can generally be achieved through on-machine measurement and compensation. However, the efficiency of conventional compensation methods is often insufficient, particularly when high form accuracy is required or when intricate surface topography and microstructures need to be machined. Consequently, this research proposes a novel machining error compensation method based on iterative learning from on-machine measured data to enhance the machining accuracy and compensation efficiency. The on-machine measurement system and cutting path generation algorithm are introduced first. Then, the compensation method via iterative learning is presented theoretically, demonstrating a higher convergence order compared to the conventional method. Finally, machining experiments involving the cutting of cosine surfaces are conducted, followed by measurements of the processed workpieces. The experimental results indicate that after four rounds of compensation using the conventional method, the peak-to-valley (PV) value of the form error is reduced to 0.1134 μm\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathrm{{\mu m}}$$\end{document}. In contrast, employing the proposed method, a similar value of 0.1156 μm\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathrm{{\mu m}}$$\end{document} is achieved after only two rounds of compensation. This highlights the significant reduction in compensation time facilitated by the proposed method. Furthermore, the measurement results verify that the proposed compensation method maintains excellent surface quality.
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页码:2181 / 2195
页数:14
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