Title: Uncertainty determination for CMMs by Monte Carlo simulation integrating feature form deviations
Authors: Kruth, Jean-Pierre ×
Van Gestel, Nick
Bleys, Philip
Welkenhuyzen, Frank #
Issue Date: 2009
Publisher: Technische Rundschau
Series Title: CIRP. Annals vol:58 issue:1 pages:463-466
Conference: CIRP General Assembly edition:59 location:Boston date:23-29 August 2009
Abstract: Reliable quality control is impossible without specification of the measurement uncertainty. For coordinate measuring machines (CMMs), Monte Carlo uncertainty evaluation allows to integrate the many task specific uncertainty influences. Incorporating the influence of feature form deviations in such simulations is difficult. This paper shows that limited sampling in combination with feature form deviations is often the most important uncertainty contributor for CMM measurements. A method that determines uncertainties for feature measurements on CMMs is proposed. The influence of feature form deviations is taken into account. The method is integrated in CMM software. The results are validated on actual workpieces.
ISSN: 0007-8506
Publication status: published
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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