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...

Full description

Bibliographic Details
Main Authors: Vincent Bergeaud, Jitendra Singh Rathore, Imanol Setoain, Philippe Bredif, Filippo Gilardi, Hémon-Charles Stivell, Félix Vidal, Camilo Prieto, Fernando A. P. Garcia
Format: Article
Language:deu
Published: NDT.net 2023-08-01
Series:Research and Review Journal of Nondestructive Testing
Online Access:https://www.ndt.net/search/docs.php3?id=28216
Description
Summary: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.
ISSN:2941-4989