Multi-physics data registration for the improvement of Additive Manufacturing process control
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...
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Format: | Article |
Language: | deu |
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NDT.net
2023-08-01
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Series: | Research and Review Journal of Nondestructive Testing |
Online Access: | https://www.ndt.net/search/docs.php3?id=28216 |
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author | Vincent Bergeaud Jitendra Singh Rathore Imanol Setoain Philippe Bredif Filippo Gilardi Hémon-Charles Stivell Félix Vidal Camilo Prieto Fernando A. P. Garcia |
author_facet | Vincent Bergeaud Jitendra Singh Rathore Imanol Setoain Philippe Bredif Filippo Gilardi Hémon-Charles Stivell Félix Vidal Camilo Prieto Fernando A. P. Garcia |
author_sort | Vincent Bergeaud |
collection | DOAJ |
description |
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.
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first_indexed | 2024-04-25T00:53:14Z |
format | Article |
id | doaj.art-c8d31daeb91b47638c9506ff158ff152 |
institution | Directory Open Access Journal |
issn | 2941-4989 |
language | deu |
last_indexed | 2024-04-25T00:53:14Z |
publishDate | 2023-08-01 |
publisher | NDT.net |
record_format | Article |
series | Research and Review Journal of Nondestructive Testing |
spelling | doaj.art-c8d31daeb91b47638c9506ff158ff1522024-03-11T15:46:45ZdeuNDT.netResearch and Review Journal of Nondestructive Testing2941-49892023-08-011110.58286/28216Multi-physics data registration for the improvement of Additive Manufacturing process controlVincent BergeaudJitendra Singh RathoreImanol SetoainPhilippe BredifFilippo GilardiHémon-Charles StivellFélix VidalCamilo PrietoFernando A. P. Garcia 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. https://www.ndt.net/search/docs.php3?id=28216 |
spellingShingle | Vincent Bergeaud Jitendra Singh Rathore Imanol Setoain Philippe Bredif Filippo Gilardi Hémon-Charles Stivell Félix Vidal Camilo Prieto Fernando A. P. Garcia Multi-physics data registration for the improvement of Additive Manufacturing process control Research and Review Journal of Nondestructive Testing |
title | Multi-physics data registration for the improvement of Additive Manufacturing process control |
title_full | Multi-physics data registration for the improvement of Additive Manufacturing process control |
title_fullStr | Multi-physics data registration for the improvement of Additive Manufacturing process control |
title_full_unstemmed | Multi-physics data registration for the improvement of Additive Manufacturing process control |
title_short | Multi-physics data registration for the improvement of Additive Manufacturing process control |
title_sort | multi physics data registration for the improvement of additive manufacturing process control |
url | https://www.ndt.net/search/docs.php3?id=28216 |
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