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Communication Dans Un Congrès Année : 2023

Multi-physics data registration for the improvement of Additive Manufacturing process control

Résumé

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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Dates et versions

cea-04292524 , version 1 (17-11-2023)

Identifiants

Citer

Vincent Bergeaud, Jitendra-Singh Rathore, Imanol Setoain, Philippe Bredif, Filippo Gilardi, et al.. Multi-physics data registration for the improvement of Additive Manufacturing process control. 13th ECNDT - 13th European Conference on Non-Destructive Testing (2023), Jul 2023, Lisbonne, Portugal. ⟨10.58286/28216⟩. ⟨cea-04292524⟩
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