A Probabilistic View of Problems in Form Error Estimation-Reference-Cited by-同舟云学术

A Probabilistic View of Problems in Form Error Estimation

Published:1997-08-01 Issue:3 Volume:119 Page:375-382
ISSN:1087-1357
Container-title:Journal of Manufacturing Science and Engineering
language:en
Short-container-title:

Author:

Yang Tai-Hung¹,Jackman J.¹

Affiliation:

1. Department of Industrial and Manufacturing System Engineering, Iowa State University, Ames, IA

Abstract

Form error estimation techniques based on discrete point measurements can lead to significant errors in form tolerance evaluation. By modeling surface profiles as random variables, we show how sample size and fitting techniques affect form error estimation. Depending on the surface characteristics, typical sampling techniques can result in estimation errors of as much as 50 percent. Another issue raised in the fitting approach is the metric p selection for the fitting objective. We show that for p = 2 and p = ∞, the selection does not appear to significantly affect the estimation of form errors.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Link

http://asmedigitalcollection.asme.org/manufacturingscience/article-pdf/119/3/375/5931572/375_1.pdf

Reference25 articles.

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3. Barrodale and Phillips, 1975, “Solution of an Overdetermined System of Linear Equation in the Chebychev Norm,” ACM Trans. on Math. Software, 1, pp. 264–270, 1975.

4. Caskey, G., et al., 1991, “Sampling Techniques for Coordinate Measuring Machines,” Proc. of the 1991 NSF Design and Mfg. Sys. Conf, January 1991, pp. 779–786.

5. Caskey, G., et al., 1992, “Sampling Techniques for Coordinate Measuring Machines,” Proc. of the 1992 NSF Design and Mfg. Sys. Conf., January 1992, pp. 983–988.

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