Volume 17 Issue 2
Mar.  2024
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MO Cai-li, WANG Li-zhong, REN Mao-dong, ZHAO Jian-bo, WANG Sen, ZHOU Hao-jun. Scanning measurement method of small size parts without marks[J]. Chinese Optics, 2024, 17(2): 409-422. doi: 10.37188/CO.2023-0103
Citation: MO Cai-li, WANG Li-zhong, REN Mao-dong, ZHAO Jian-bo, WANG Sen, ZHOU Hao-jun. Scanning measurement method of small size parts without marks[J]. Chinese Optics, 2024, 17(2): 409-422. doi: 10.37188/CO.2023-0103

Scanning measurement method of small size parts without marks

doi: 10.37188/CO.2023-0103
Funds:  Supported by National Key Research and Development Program (No. 2022 YFB4601802)
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  • Corresponding author: wanglz@mail.xjtu.edu.cn
  • Received Date: 19 Jun 2023
  • Rev Recd Date: 06 Jul 2023
  • Available Online: 22 Sep 2023
  • Small-size parts have a small surface area and complex structure. The traditional mark splicing method needs to manually paste marks on the surface of parts, resulting in missing the measurement data of the surface and becoming holes. The feature splicing method requires the surface of parts to have easily distinguishable geometric or distance features, which are not suitable for rotating parts containing repetitive features. We propose a scanning measurement method without marks based on mechanical splicing, which does not need to paste marks or depend on the surface features of parts. Firstly, the camera calibration method based on photogrammetry is used to reconstruct the high-precision three-dimensional coordinates of the target on the calibration board. By tracking the position of the coded target, the rotation matrix corresponding to different angles of the turntable is established, and the direction vector of the rotation axis and the fixed point coordinates on the axis are solved. Then the synchronous calibration of the rotation axis and the camera is completed. Secondly, based on the accurate calibration of poses of two rotation axes, the rotation mosaic matrix is constructed by using the turntable angle to realize the rough registration of multi-view point clouds. Finally, based on the Normal Iterative Closest Point (NICP) algorithm, the fine registration of the point clouds is completed. Experimental results show that the angle error between the two rotation axes calibrated by the target tracking method is 0.023° lower than that of the traditional standard ball fitting method. After calibration, the average size error of the standard ball is less than 0.012 mm. In the automatic measurement of small-size parts, the point cloud splicing effect of the mechanical splicing method after fine registration is similar to that of the mark splicing method, and the splicing stability is higher. The mechanical splicing method is suitable for the 3D topography measurement of small-size parts where the marks cannot be pasted.

     

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