Abstract
This paper presents a multivariate regression predictive model of drift on
the Coordinate Measuring Machine (CMM) behaviour. Evaluation tests on a
CMM with a multi-step gauge were carried out following an extended version
of an ISO evaluation procedure with a periodicity of at least once a week
and during more than five months. This test procedure consists in
measuring the gauge for several range volumes, spatial locations,
distances and repetitions. The procedure, environment conditions and even
the gauge have been kept invariables, so a massive measurement dataset was
collected over time under high repeatability conditions. A multivariate
regression analysis has revealed the main parameters that could affect the
CMM behaviour, and then detected a trend on the CMM performance drift. A
performance model that considers both the size of the measured dimension
and the elapsed time since the last CMM calibration has been developed.
This model can predict the CMM performance and measurement reliability
over time and also can estimate an optimized period between calibrations
for a specific measurement length or accuracy level.
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Authors and Affiliations
Fernando Sanchez-Lasheras