Road to uncertainty – how virtual CT models could evaluate task specific measurement uncertainties

Binder F, Wohlgemuth F, Hausotte T (2020)

Publication Language: English

Publication Type: Conference contribution, Abstract of lecture

Publication year: 2020

Event location: Online

Abstract

Computed tomography (CT) is regularly used in industrial applications for non-destructive testing. Due to the complexity of the measurement process, analytical approaches to evaluate task specific uncertainties are currently infeasible. Available methods as described in the VDI/VDE standard 2630 Part 2.1 do not meet the criteria of scalability and cost efficiency. Therefore alternatives, like the Monte Carlo based approach described in the GUM Supplement 1, are promising to evaluate task specific uncertainties even on an industrial scale. The talk will present a basic framework for this approach and provide an inside view of the current research in this field.

Authors with CRIS profile

Felix Binder Lehrstuhl für Fertigungsmesstechnik Florian Wohlgemuth Lehrstuhl für Fertigungsmesstechnik Tino Hausotte Lehrstuhl für Fertigungsmesstechnik

Related research project(s)

Advanced Computed Tomography for dimensional and surface measurements in industry (AdvanCT) Advanced Computed Tomography for dimensional and surface measurements in industry June 1, 2018 - May 31, 2021

How to cite

APA:

Binder, F., Wohlgemuth, F., & Hausotte, T. (2020, June). Road to uncertainty – how virtual CT models could evaluate task specific measurement uncertainties. Paper presentation at EUSPEN Virtual International Conference - Workshop: Uncertainty in dimensional X-ray computed tomography, Online.

MLA:

Binder, Felix, Florian Wohlgemuth, and Tino Hausotte. "Road to uncertainty – how virtual CT models could evaluate task specific measurement uncertainties." Presented at EUSPEN Virtual International Conference - Workshop: Uncertainty in dimensional X-ray computed tomography, Online 2020.

BibTeX: Download