Category: Non classé
Lien Descriptif ANR
Summary
The NEMESIS project proposes a significant breakthrough in the mastering and control of arc welding defects through the use of
virtual materials. The collaborative research partnership is balanced between modelling, experimentation and valorization. In-situ observations on test benches will investigate grain growth and hot cracking mechanisms in welding (ICB, LMGC). Grain structure and associated defects will be modelled in a multiphysics and multiscale approach (CEMEF). Validation will be conducted on industrial steel grades (EDF R&D, ArcelorMittal). NDT simulations will be achieved to consider effects of grains shape and cracks morphology on defects detection (CEA LIST, EDF R&D). Softwares modelling welding processes (Transweld/TRANSVALOR) and controlling defects (CIVA, ATHENA) will benefit from this research. This project will represent an undeniable technological advance in the mastery of welding processes as a response to industrial needs.
Lien Descriptif ANR
Summary
The NEMESIS project proposes a significant breakthrough in the mastering and control of arc welding defects through the use of
virtual materials. The collaborative research partnership is balanced between modelling, experimentation and valorization. In-situ observations on test benches will investigate grain growth and hot cracking mechanisms in welding (ICB, LMGC). Grain structure and associated defects will be modelled in a multiphysics and multiscale approach (CEMEF). Validation will be conducted on industrial steel grades (EDF R&D, ArcelorMittal). NDT simulations will be achieved to consider effects of grains shape and cracks morphology on defects detection (CEA LIST, EDF R&D). Softwares modelling welding processes (Transweld/TRANSVALOR) and controlling defects (CIVA, ATHENA) will benefit from this research. This project will represent an undeniable technological advance in the mastery of welding processes as a response to industrial needs.