Acta Optica Sinica, Volume. 42, Issue 19, 1912005(2022)

Measurement and Optimization of Movement Parallelism Based on Spot Image Method

Xing Liu1,2, Xiaozhong Xu1,2, Tao Wei3, and Jingsong Wei1、*
Author Affiliations
  • 1Laboratory of Micro-Nano Optoelectronic Materials and Devices, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 2Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • 3School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou Key Laboratory for Nanophotonic and Nanoelectronic Materials and Its Devices, Suzhou 215009, Jiangsu , China
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    Movement parallelism is one of the key parameters of motorized stages, and it can directly affect the performance of the stages. A spot image method for accurately measuring the movement parallelism is proposed. In addition, based on theoretical research and analysis, a measurement system with a precision better than 50 nm is set up. Utilizing this measurement system, movement parallelism of the motorized stage is measured, and the movement parallelism error is 11.66 μm. After optimizing the motorized stage according to the above results, the optimal movement parallelism error can reach 6.22 μm. In order to verify the feasibility of the proposed method, a displacement sensor is applied to re-measure the movement parallelism. The root-mean-square error between the measurement results of the displacement sensor and that of spot image method is lower than 248 nm. In other words, the two measurement results are basically the same.

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    Xing Liu, Xiaozhong Xu, Tao Wei, Jingsong Wei. Measurement and Optimization of Movement Parallelism Based on Spot Image Method[J]. Acta Optica Sinica, 2022, 42(19): 1912005

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Mar. 3, 2022

    Accepted: Apr. 15, 2022

    Published Online: Oct. 18, 2022

    The Author Email: Wei Jingsong (weijingsong@siom.ac.cn)

    DOI:10.3788/AOS202242.1912005

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