Acceptance and reverification testing for industrial computed tomography - a simulative study on geometrical misalignments
Wohlgemuth F, Hausotte T, Schmidt I, Kimmig W, Imkamp KD (2022)
Publication Type: Journal article
Publication year: 2022
Journal
Book Volume: 11
Pages Range: 171-186
Journal Issue: 1
Abstract
Acceptance and reverification testing for industrial X-ray computed tomography (CT) is described in different standards (E DIN EN ISO 10360-11:2021-)4, 2021; VDI/VDE 2630 Blatt 1.3, 2011; ASME B89.4.232020, 2020). The characterisation and testing of CT system performance are often achieved with test artefacts containing spheres. This simulative study characterises the influence of different geometrical error sources - or geometrical misalignments - on these sphere measurements. The two measurands on which this study focuses are the sphere centre-to-centre distances and the sphere probing form errors.
Authors with CRIS profile
Florian Wohlgemuth
Lehrstuhl für Fertigungsmesstechnik
Tino Hausotte
Lehrstuhl für Fertigungsmesstechnik
Involved external institutions
Germany (DE)How to cite
APA:
Wohlgemuth, F., Hausotte, T., Schmidt, I., Kimmig, W., & Imkamp, K.D. (2022). Acceptance and reverification testing for industrial computed tomography - a simulative study on geometrical misalignments. Journal of Sensors and Sensor Systems, 11(1), 171-186. https://dx.doi.org/10.5194/jsss-11-171-2022
MLA:
Wohlgemuth, Florian, et al. "Acceptance and reverification testing for industrial computed tomography - a simulative study on geometrical misalignments." Journal of Sensors and Sensor Systems 11.1 (2022): 171-186.
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