Laser Technology, Volume. 49, Issue 1, 135(2025)

A method for evaluating the error suppression ability of magnetorheological finishing

GAO Bo1,2,3,4, FAN Bin1,3、*, WANG Jia1,2,3, WU Xiang1,2,3,4, and XIN Qiang1,2,3
Author Affiliations
  • 1National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu 610209, China
  • 2Advanced Manufacturing Center of Optics, Chinese Academy of Sciences, Chengdu 610209, China
  • 3Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
  • 4University of Chinese Academy of Sciences, Beijing 100049, China
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    In order to analyze the effect of removal function on machining accuracy and the anti-intermediate frequency error performance of removal function in magnetorheological finishing, the error suppression ability of magnetorheological finishing was evaluated by using the smoothing spectrum method. The smooth spectrum method and the traditional power spectrum method were theoretically analyzed, simulated, and verified by the aspherical optical element. The suppression ability of the removal function on the surface error and the mid-spatial error of the aspherical optical element were analyzed by the smooth spectrum method and the traditional power spectrum method. The results show that error suppression ability of smoothing spectrum method is 0.22 mm-1. The smoothing spectrum function can intuitively judge the suppression ability of the surface error and mid-spatial error of the removing function, and the variation rule of mid-spatial error can be clearly quantified and judged. This method provides a solution to the problem of error suppression evaluation in magnetorheological finishing.

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    GAO Bo, FAN Bin, WANG Jia, WU Xiang, XIN Qiang. A method for evaluating the error suppression ability of magnetorheological finishing[J]. Laser Technology, 2025, 49(1): 135

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    Paper Information

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    Received: Oct. 25, 2023

    Accepted: Feb. 18, 2025

    Published Online: Feb. 18, 2025

    The Author Email: FAN Bin (fanbin@ioe.ac.cn)

    DOI:10.7510/jgjs.issn.1001-3806.2025.01.021

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