Doiron, T.
(2016),
Dimensional Measurement Uncertainty from Data. Part 2: Uncertainty R&R, Cal Lab: International Journal of Metrology
(Accessed December 4, 2023)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Dimensional Measurement Uncertainty from Data. Part 2: Uncertainty R&R
Published
Author(s)
Abstract
While check standards will eventually give the most accurate uncertainty for a calibration procedure, the time and expense can be discouraging. Another common method, standard Gage Repeatability and Reproducibility study does not produce anything like the actual uncertainty. It is possible to force variation into the R&R and get a much more useful estimate of uncertainty. This process, which I call the Uncertainty R&R (UR&R), is described along with examples of actual studies made on a typical Universal Length Measuring Machine (ULM).Citation
Cal Lab: International Journal of Metrology
Pub Type
Journals
Keywords
dimensional metrology, uncertainty, GR&R, universal length measuring machine, ULMM
Citation
Created July 1, 2016, Updated February 19, 2017