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Orgeldinger, Christian ; Wohlgemuth, Florian ; Müller, Andreas Michael ; Hausotte, Tino:
Towards efficient application-dependent dimensional measurements with computed tomography : optimized reduction of measurement duration using continuous scan mode ; experimental investigations.
In: Journal of Sensors and Sensor Systems.
Bd. 11
(2022)
Heft 2
.
- S. 219-223.
ISSN 2194-878X
DOI: https://doi.org/10.5194/jsss-11-219-2022
Abstract
Due to the complex physical and technical relationships in dimensional X-ray computed tomography measurement technology, the precise influences on the measurement result are still not fully understood. A deeper understanding of these influences is essential in order to improve the measurement accuracy and economy of computed tomographic measurement systems. In addition, this enables better numerical determination of measurement uncertainties, which is also a topic of current research. Two factors that have a significant influence on the lead times are the scan mode and the number of projections per measurement. In this article, these factors are investigated experimentally using a calibrated workpiece, and the influence of the workpiece position on the measurement result is also examined. It can be shown that the workpiece position has a considerable influence on the quality of the measurement, especially in the case of a continuous scan. The results show a vast potential for application-dependent reduction of lead times.
Weitere Angaben
| Publikationsform: | Artikel in einer Zeitschrift |
|---|---|
| Begutachteter Beitrag: | Ja |
| Institutionen der Universität: | Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Konstruktionslehre/CAD > Lehrstuhl Konstruktionslehre/CAD - Univ.-Prof. Dr.-Ing. Stephan Tremmel Fakultäten Fakultäten > Fakultät für Ingenieurwissenschaften Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Konstruktionslehre/CAD |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften |
| Eingestellt am: | 08 Aug 2022 09:13 |
| Letzte Änderung: | 08 Aug 2022 09:13 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/71412 |