| Autor: |
Vincent Bergeaud, Jitendra Singh Rathore, Imanol Setoain, Philippe Bredif, Filippo Gilardi, Hémon-Charles Stivell, Félix Vidal, Camilo Prieto, Fernando A. P. Garcia |
| Jazyk: |
German<br />English<br />Spanish; Castilian<br />French |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Research and Review Journal of Nondestructive Testing, Vol 1, Iss 1 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2941-4989 |
| DOI: |
10.58286/28216 |
| Popis: |
The work presented in this paper is to tend towards a goal of developing a methodology and associated software module to establish cross-correlation between real time process monitoring data and characterization data. To implement this methodology, a number of steel specimen were built following a design of experiment approach. During the manufacturing, all monitoring data was recorded in log files with a precise timestamp, the data collected being then temporal signals. Subsequently, these parts were inspected by high resolution X-ray tomography, and the defects present in the part were characterized, resulting in 3D volumetric dataset. The software module developed on CIVA platform then enables the registration of these multi-physics data. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
