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Proceedings Paper

Dynamic error modeling of CMM based on Bayesian statistical principle
Author(s): Hong-tao Yang; Shen-Wang Lin; Ye-tai Fei; Li Sheng; Zhen-ying Cheng
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Paper Abstract

The dynamic error sources of CMM were analyzed and the character of the dynamic error data was investigated in this paper. Based on the character, the dynamic error model of CMM was built by using Bayesian statistical principle combined with the standard quantity interposition method. The specific error model building procedures was deduced. The CMM dynamic error separating and contrasting experimental devices were designed by using the laser interferometer and the measuring block group. The theoretical analysis and the experiment result indicate that all influences of the CMM dynamic error sources is considered in the model building method by using Bayesian statistical principle combined with the standard values interposition method which meets the CMM working condition. The error model accuracy reaches 2.4 μm and meets the CMM demand. The needed error data size is greatly reduced by using the dynamic error model building method. The error separating principle by lapping-in the measuring block group is simple, which is implemented easily and meets the timing dynamic error correcting needs of the ordinary CMM user.

Paper Details

Date Published: 31 December 2008
PDF: 7 pages
Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71300H (31 December 2008); doi: 10.1117/12.819553
Show Author Affiliations
Hong-tao Yang, Anhui Univ. of Science &Technology (China)
Shen-Wang Lin, Far East Univ. (Taiwan)
Ye-tai Fei, Hefei Univ. of Technology (China)
Li Sheng, Hefei Univ. of Technology (China)
Zhen-ying Cheng, Hefei Univ. of Technology (China)

Published in SPIE Proceedings Vol. 7130:
Fourth International Symposium on Precision Mechanical Measurements
Yetai Fei; Kuang-Chao Fan; Rongsheng Lu, Editor(s)

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