Title data
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.
Vol. 11
(2022)
Issue 2
.
- pp. 219-223.
ISSN 2194-878X
DOI: https://doi.org/10.5194/jsss-11-219-2022
Abstract in another language
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.
Further data
Item Type: | Article in a journal |
---|---|
Refereed: | Yes |
Institutions of the University: | Faculties > Faculty of Engineering Science > Chair Engineering Design and CAD > Chair Engineering Design and CAD - Univ.-Prof. Dr.-Ing Stephan Tremmel Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Engineering Design and CAD |
Result of work at the UBT: | No |
DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
Date Deposited: | 08 Aug 2022 09:13 |
Last Modified: | 08 Aug 2022 09:13 |
URI: | https://eref.uni-bayreuth.de/id/eprint/71412 |