Skip to main content
Article
A Probabilistic View of Problems in Form Error Estimation
Journal of Manufacturing Science and Engineering, Transactions of the ASME
  • Tai-Hung Yang, Iowa State University
  • John K. Jackman, Iowa State University
Document Type
Article
Publication Version
Published Version
Publication Date
1-1-1997
DOI
10.1115/1.2831116
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
Comments

This is an article from Journal of Manufacturing Science and Engineering, Transactions of the ASME 119 (1997): 375, doi: 10.1115/1.2831116. Posted with permission.

Copyright Owner
ASME
Language
en
Date Available
2015-06-01
File Format
application/pdf
Citation Information
Tai-Hung Yang and John K. Jackman. "A Probabilistic View of Problems in Form Error Estimation" Journal of Manufacturing Science and Engineering, Transactions of the ASME Vol. 119 Iss. 3 (1997) p. 375 - 382
Available at: http://works.bepress.com/john_jackman/9/