On the Flatness Uncertainty Estimation Based on Data Elimination

Abstract:

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Coordinate measuring machine (CMM) plays a more and more important role in the flatness evaluation. The pre-processing for eliminating error data is an important process to improve the quality of flatness evaluation. So, flatness uncertainty estimation becomes a key problem. To solve the problem, a flatness uncertainty estimation method based on data elimination is presented. Firstly, a method for excluding the error data based on statistical theory is expatiated with the consideration of probability theory and mathematical statistics. Secondly, details of calculating flatness uncertainty based on least-square method are analyzed. Then the measured 3-dimensional data are processed so as to put the excluding method into use. So the error data can be deleted and the flatness uncertainty can be decreased and can achieve a good evaluation quality. Finally, an example is given and the result shows that the method proposed in this paper is feasible.

Info:

Periodical:

Edited by:

Kai Cheng, Yongxian Liu, Xipeng Xu and Hualong Xie

Pages:

347-351

DOI:

10.4028/www.scientific.net/AMM.16-19.347

Citation:

M. F. Huang et al., "On the Flatness Uncertainty Estimation Based on Data Elimination", Applied Mechanics and Materials, Vols. 16-19, pp. 347-351, 2009

Online since:

October 2009

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Price:

$35.00

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