Paper Title:
On the Flatness Uncertainty Estimation Based on Data Elimination
  Abstract

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, Q. Y. Wang, Y. R. Zhong, B. Kuang, X. Q. Li, "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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$32.00
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