Comparison of different measures for the single point uncertainty in industrial X-ray computed tomography

Müller A, Hausotte T (2019)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Publisher: e-Journal of Nondestructive Testing

Event location: ​Centro Culturale Altinate San Gaetano, Padova IT

URI: http://www.ndt.net/iCT2019

Open Access Link: https://www.ndt.net/article/ctc2019/papers/iCT2019_Full_paper_31.pdf

Abstract

The concept of single point uncertainty describes a methodology to statistically evaluate the local measurement results of a measurement series with respect to the associated reference geometry. The single point uncertainties can be used as local quality parameters or weighting factors in subsequent processing of a measurement and can therefore have a significant impact on the final measurement results. The core routine used in former work at the Institute of Manufacturing Metrology, which is based on ray-triangle intersection tests, provided accurate results under most conditions. Nevertheless, some disadvantages were observed, including the very high computational demand and an inaccurate sampling of edge regions. In order to compensate for these deficiencies, another distance measure utilizing an expanded nearest neighbour approach was implemented and compared to the existing solution. It could be shown that the alternative solution for the determination of the single point uncertainty in repeated computed tomography (CT) measurements can provide very similar results while having substantially less computational requirements on the hardware used.

Authors with CRIS profile

Andreas Müller Lehrstuhl für Fertigungsmesstechnik Tino Hausotte Lehrstuhl für Fertigungsmesstechnik

Related research project(s)

FOR 2271: Prozessorientiertes Toleranzmanagement mit virtuellen Absicherungsmethoden (FORTol) June 1, 2016 - Aug. 14, 2023 Determination of the measurement uncertainty and systematic form deviations for a function-oriented tolerance assignment (FORTol) FOR 2271: Prozessorientiertes Toleranzmanagement mit virtuellen Absicherungsmethoden (FORTol) June 1, 2016 - Dec. 31, 2019

How to cite

APA:

Müller, A., & Hausotte, T. (2019). Comparison of different measures for the single point uncertainty in industrial X-ray computed tomography. In Proceedings of the 9th Conference on Industrial Computed Tomography. ​Centro Culturale Altinate San Gaetano, Padova, IT: e-Journal of Nondestructive Testing.

MLA:

Müller, Andreas, and Tino Hausotte. "Comparison of different measures for the single point uncertainty in industrial X-ray computed tomography." Proceedings of the 9th Conference on Industrial Computed Tomography, ​Centro Culturale Altinate San Gaetano, Padova e-Journal of Nondestructive Testing, 2019.

BibTeX: Download