Laser & Optoelectronics Progress, Volume. 60, Issue 3, 0312011(2023)

Research Progress of Ultra-Precision Measurement of Optical Surfaces for Manufacturing

Shanyong Chen1,2, Shuai Xue1,2, Yupeng Xiong1,2, Xiaoqiang Peng1,2, and Yifan Dai1,2、*
Author Affiliations
  • 1Laboratory of Science and Technology on Integrated Logistics Support, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, Hunan, China
  • 2Key Laboratory of Ultra-Precision Machining Technology of Hunan Province, Changsha 410073, Hunan, China
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    Ultra-precision measurement is the precondition for optics manufacturing. Null test is still the fundamental principle for high-precision measurement of optical surfaces. Computer generated holograms are indispensible for null test of complex surfaces including freeforms. Problems oriented to manufacturing are discussed with emphasis including the principle of CGH null test and its ghost disturbance orders of diffraction, projection distortion correction, uncertainty, and absolute test. The limit of CGH null test is also presented along with possible solutions. For challenges in measuring the dynamically evolving local big errors generated during the manufacturing process, subaperture stitching test and adaptive null test methods are discussed. The progress of in-situ interferometry for machining is then briefly introduced. Finally a prospect of optical surface measurement is presented with focus on ultra-high precision measurement and traceability, macro-micro multiscale measurement of hybrid optics, independently controllable instruments for optical surface metrology, and in-situ integration.

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    Shanyong Chen, Shuai Xue, Yupeng Xiong, Xiaoqiang Peng, Yifan Dai. Research Progress of Ultra-Precision Measurement of Optical Surfaces for Manufacturing[J]. Laser & Optoelectronics Progress, 2023, 60(3): 0312011

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Sep. 22, 2022

    Accepted: Oct. 17, 2022

    Published Online: Feb. 22, 2023

    The Author Email: Dai Yifan (dyf@nudt.edu.cn)

    DOI:10.3788/LOP222608

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