Chinese Optics, Volume. 17, Issue 3, 586(2024)

Rotary error modeling and assembly optimization of parallel structure shafting

Yi-ming DONG1,2,3, Bo JIANG1,3、*, Xiang-yu LI1,3, You-jin XIE1,3, Tao LV1,3, and Ping RUAN1,3
Author Affiliations
  • 1Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Key Laboratory of Space Precision Measurement Technology, Chinese Academy of Sciences, Xi’an 710119, China
  • show less

    In order to improve the shafting motion accuracy of two-dimensional turntables such as photoelectric theodolites, we establish a mathematical model considering both the structural error of parts and the coupling amplification effect based on Jacobian-Torsor theory. Aiming at a shafting structure with one fixed end and one swimming, an analysis method of partial parallel structure was proposed. Through numerical simulation analysis, the impact of each part’s structural errors on the motion accuracy of the shafting and the optimal shafting assembly scheme were obtained. The results of assembly and adjustment of a photoelectric theodolite with an optical diameter of 650 mm show that assembly optimization improved the motion accuracy of the shaft system by 32.1%. The precision model and optimization method of shafting motion provide a theoretical basis for the shafting adjustment and tolerance design of two-dimensional turntables such as photoelectric theodolites.

    Keywords
    Tools

    Get Citation

    Copy Citation Text

    Yi-ming DONG, Bo JIANG, Xiang-yu LI, You-jin XIE, Tao LV, Ping RUAN. Rotary error modeling and assembly optimization of parallel structure shafting[J]. Chinese Optics, 2024, 17(3): 586

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Original Article

    Received: Sep. 28, 2023

    Accepted: Nov. 24, 2023

    Published Online: Jul. 31, 2024

    The Author Email:

    DOI:10.37188/CO.2023-0171

    Topics