Quantifying the Contribution of Post-Processing in Computed Tomography Measurement Uncertainty

Alessandro Stolfi, Mary Kathryn Thompson, Lorenzo Carli, Leonardo De Chiffre

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Abstract

This paper evaluates and quantifies the repeatability of post-processing settings, such as surface determination, data fitting, and the definition of the datum system, on the uncertainties of Computed Tomography (CT) measurements. The influence of post-processing contributions was determined by calculating the standard deviation of 10 repeated measurement evaluations on the same data set. The evaluations were performed on an industrial assembly. Each evaluation includes several dimensional and geometrical measurands that were expected to have different responses to the various post-processing settings. It was found that the definition of the datum system had the largest impact on the uncertainty with a standard deviation of a few microns. The surface determination and data fitting had smaller contributions with sub-micron repeatability.
Original languageEnglish
JournalProcedia C I R P
Volume43
Pages (from-to)297–302
ISSN2212-8271
DOIs
Publication statusPublished - 2016
Event14th CIRP Conference on Computer Aided Tolerancing - Gothenburg, Sweden
Duration: 18 May 201620 May 2016
http://www.chalmers.se/en/conference/cat2016/Pages/default.aspx

Conference

Conference14th CIRP Conference on Computer Aided Tolerancing
Country/TerritorySweden
CityGothenburg
Period18/05/201620/05/2016
Internet address

Bibliographical note

The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords

  • Computed Tomography
  • Measurement uncertainty
  • Post-processing uncertainty
  • Assembly
  • Metrology

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