Zhang Mei
College of Electrical Engineering and Automation, Anhui University, Hefei, 230601, China
ABSTRACT
Most scholars were committed to study the low-dimensional measurement error of CMM, few to research the high-dimensional model. In this study, the idea of dimension reduction is found from the derivational process of Lagrange interpolation formula, which is from one-dimension to two-dimension. High-dimension and high orders Lagrange interpolation formula is analogized by using the rule. Then apply the formula to the fields of the CMM measurement error models and get the better results.
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How to cite this article
Zhang Mei, 2013. CMM Measurement Error Model Based on High-order Lagrange Interpolation. Information Technology Journal, 12: 3457-3461.
DOI: 10.3923/itj.2013.3457.3461
URL: https://scialert.net/abstract/?doi=itj.2013.3457.3461
DOI: 10.3923/itj.2013.3457.3461
URL: https://scialert.net/abstract/?doi=itj.2013.3457.3461
REFERENCES
- Fei, Y.T., J. Zhao, H.T. Wang and X.S. Ma, 2004. A review of research on dynamic errors of coordinate measuring machines. Chinese J. Scient. Instrument, 25: 773-776.
Direct Link - Wei, J.W. and Y.L. Chen, 2011. The geometric dynamic errors of CMMs in fast scanning-probing. Measurement, 44: 511-517.
CrossRefDirect Link - Yang, H.T., Y. Liu, Y.T. Fei and X.H. Chen, 2010. Hybrid modeling method for CMM dynamic error. Chinese J. Scient. Instrument, 31: 1861-1866.
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