Paper
31 December 2010 Probe parameters calibration for articulated arm coordinate measuring machine
Wentao Cheng, Yetai Fei, Liandong Yu, Ruichang Yang
Author Affiliations +
Proceedings Volume 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation; 75445K (2010) https://doi.org/10.1117/12.885303
Event: Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 2010, Hangzhou, China
Abstract
Articulated Arm Coordinate Measuring Machine (AACMM) is a kind of portable coordinate measuring equipment with a flexible structure, which employs a series of rotating components around generally perpendicular axes. As a portable device, the probe parameters of AACMM will change after probe switching or dismounting and reassembling the same probe during shipping AACMM from one place to another to carry out measurement tasks. As incorrect coordinates will be given without the correct probe parameters, the probe parameters must be re-identified. By analyzing the identifiability of geometrical parameters of kinematical model and presenting the non-redundant-parameter model in this paper, a simple approach for the probe parameters calibration of AACMM is proposed, to improve its portability and ensure the accuracy of AACMM. In addition a very simple accessory was designed to hold the spherical probe as a data capture device. Gauss-Newton method was adopted as an optimization method to figure out the probe parameters. A program was developed to carry out the calibration process. Experimental results prove that the calibration approach proposed in the paper was effective.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wentao Cheng, Yetai Fei, Liandong Yu, and Ruichang Yang "Probe parameters calibration for articulated arm coordinate measuring machine", Proc. SPIE 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 75445K (31 December 2010); https://doi.org/10.1117/12.885303
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Cited by 5 scholarly publications.
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KEYWORDS
Calibration

Kinematics

Mathematical modeling

Lithium

Evolutionary algorithms

Spherical lenses

Computing systems

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