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Evaluating Coordinate Measuring Machine Software Geometry Uncertainties Using National and International Standards

Published

Author(s)

Craig M. Shakarji, J D. Raffaldi

Abstract

In coordinate metrology, evaluating task specific measurement uncertainty can be difficult, a problem which prompted the current development of several related standards at the national and international levels. Software that processes coordinate data can be an important, but often overlooked, component of measurement uncertainty. This paper describes the historically significant role software has played as an error source for measurements in coordinate metrology. It describes various kinds of fitting software and some of their potential problems. It then gives a series of practical and often easy steps users can take that will either increase confidence in such software or reveal some of its problems.
Proceedings Title
Proceedings of the Measurement Science Conference
Conference Dates
January 1, 2004
Conference Location
Anaheim, CA, USA

Keywords

Algorithm, Chebyshev, Coordinate Measuring Machine, Curve Fitting, Least Squares, Metrology, Software, Surface Fitting, Uncertainty

Citation

Shakarji, C. and Raffaldi, J. (2004), Evaluating Coordinate Measuring Machine Software Geometry Uncertainties Using National and International Standards, Proceedings of the Measurement Science Conference, Anaheim, CA, USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822115 (Accessed June 22, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created December 31, 2003, Updated October 12, 2021