Computational stragegies for manufacturing processes modeling

Modeling of manufacturing processes has been deeply studied and computational methods and softwares are now able to deal with difficult scientific problems coming from complex industrial issues. However research teams are still very active in this domain and my research works aim at improving CPU time resulting from increasing size of the models and complexity of phenomena linked with coupled multiphysics events. My research work are organised over four main points: Development of explicit numerical formulations for linear tetrahedron elements, decrease of CPU time for solving big linear systems, computational approaches to deal with multidomain problems and finally multiphysics coupling in forming processes.

Data and Resources

Additional Info

Field Value
Source https://theses.hal.science/tel-00931202
Author Mocellin, Katia
Maintainer CCSD
Last Updated May 7, 2026, 10:01 (UTC)
Created May 7, 2026, 10:01 (UTC)
Identifier tel-00931202
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Centre de Mise en Forme des Matériaux (CEMEF) ; Mines Paris - PSL (École nationale supérieure des mines de Paris) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)
creator Mocellin, Katia
date 2011-12-15T00:00:00
harvest_object_id df447a3b-6a19-443e-a87e-d24c829ef89f
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-04-20T00:00:00
set_spec type:HDR