Paper
4 December 2024 Optimization methods for end-point accuracy of seven-axis articulated 3D scanning measurement arm
Zhixiong Wu, Dayong Tai
Author Affiliations +
Proceedings Volume 13283, Conference on Spectral Technology and Applications (CSTA 2024); 1328322 (2024) https://doi.org/10.1117/12.3036614
Event: Conference on Spectral Technology and Applications (CSTA 2024), 2024, Dalian, China
Abstract
The measurement accuracy of the end effector point cloud of an Articulated Arm Coordinate Measuring Machine(AACMM) is influenced by factors such as joint structure, temperature compensation parameters, mechanical compensation parameters, end joint G modeling, and G joint rotation axis calibration algorithms. This study analyzes the end effector accuracy loss model of a seven-axis articulated 3D scanning measurement arm, focusing on the aforementioned factors. A nonlinear temperature compensation and mechanical compensation model based on a dual-suspension joint structure is proposed, along with a calibration method for the axis offset of the G joint. By evaluating the accuracy indices of single-point accuracy (SPAT), length error (EUMI), size error (PSIZE), form error (PFORM), and sphere position error (LDIS) in over 80% of the device's measurement range within a temperature environment of10°C to 40°C, this study demonstrates that the proposed method can improve the end position accuracy of a 3-meterrange AACMM by ±0.02mm under varying temperature and dynamic motion conditions.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhixiong Wu and Dayong Tai "Optimization methods for end-point accuracy of seven-axis articulated 3D scanning measurement arm", Proc. SPIE 13283, Conference on Spectral Technology and Applications (CSTA 2024), 1328322 (4 December 2024); https://doi.org/10.1117/12.3036614
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KEYWORDS
Deformation

Calibration

Head

Temperature metrology

Matrices

Point clouds

3D modeling

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