ITEM METADATA RECORD
Title: CMM hardware error simulation for uncertainty evaluation
Authors: Van Gestel, Nick ×
Bleys, Philip
Kruth, Jean-Pierre #
Issue Date: 2012
Publisher: Butterworth-Heinemann
Series Title: Precision Engineering issue:submitted
Abstract: Uncertainty evaluation software based on Monte Carlo simulations is very
useful for coordinate measurement machines (CMMs). These Monte Carlo
methods use so-called virtual CMMs to simulate CMM measurement errors.
Based on the simulated errors measurement uncertainties can be determined.
This paper shows how CMM hardware errors can be modelled in a simple
and straightforward way. It considers CMM geometric errors as well as probe
and articulating probe head errors. A key element of the presented method is
the selection of representative virtual CMMs based on a virtual ISO 10360-
2 acceptance test. The method has been implemented in own developed
uncertainty evaluation software but can also be used in other software. Results
show that very reliable uncertainty statements are obtained with this
method.
ISSN: 0141-6359
Publication status: submitted
KU Leuven publication type: IT
Appears in Collections:Production Engineering, Machine Design and Automation (PMA) Section
× corresponding author
# (joint) last author

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