Int. J. Metrol. Qual. Eng.
Volume 4, Number 1, 2013
|Page(s)||3 - 8|
|Published online||05 June 2013|
Effect of sampling strategy on uncertainty and precision of flatness inspection studied by dynamic minimum deviation zone evaluation
Department of Automotive, Mechanical, and Manufacturing Engineering, Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, Ontario, Canada L1H 7K4
⋆ Correspondence: firstname.lastname@example.org
Received: 23 November 2012
Accepted: 28 November 2012
Evaluation of geometric deviations for the purpose of determining compliance with specified form tolerances requires the acquisition of numerous measured data points and extensive computation to accurately characterize the inspected part’s geometry. If there are not enough data points measured or when the measured points are not distributed properly on the measured surface a high level of uncertainty in characterizing the inspected part’s geometry can be expected. However, increasing the number of data point also significantly increases the computational time and also increases computational uncertainty by adding to instability of the optimization process required to find the minimum deviation zone. Selections of number and location of the measured date points need to be performed by understanding the significance of these two sources of uncertainties. This paper discussed the effect of sampling procedure on uncertainty and precision of flatness inspection.
Key words: Coordinate metrology / dynamic minimum zone evaluation / minimum deviation zone / measurement uncertainty / convex hull
© EDP Sciences 2013
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