General information
Organisation
The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.
Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.
The CEA is established in ten centers spread throughout France
Reference
SL-DES-24-0188
Thesis topic details
Category
Engineering science
Thesis topics
Fragmentation metamodel for the simulation of the powder grinding process
Contract
Thèse
Job description
The grinding process, used since antiquity to crush seeds and nuts, is vital across various industries, such as mining, civil engineering, and pharmacy. Current research aims to optimize this procedure by enhancing the properties of powders while reducing energy costs. Experimental methods for studying grinding face complexities due to dynamic forces and the continual changes in materials. Fortunately, recent advancements in simulation, using the Discrete Element Method (DEM), offer a perspective to investigate these mechanisms, especially in the context of co-grinding for nuclear fuel manufacturing.
This thesis topic specifically aims to accelerate the simulation of these mechanisms for industrial use. The objective is to develop a fragmentation metamodel based on artificial intelligence. To achieve this, it will be necessary to create a database simulating particle fragmentation and to define the essential features of the process. The approach will encompass several phases, including predicting a particle's fragmentation and learning the fragmentation mode using advanced techniques, such as neural networks.
The research will build upon previous works, notably those of D.-C. Vu (CEA thesis 2020-2023), and will be validated using experimental data associated with other academic endeavors. The doctoral candidate will have access to significant simulation resources, with access to the computing resources of the IRESNE Institute (CEA-Cadarache) and other platforms. In essence, this thesis project aims to merge expertise in grinding with artificial intelligence techniques to innovate in the field of particle fragmentation.
University / doctoral school
Thesis topic location
Site
Cadarache
Requester
Position start date
01/11/2024
Person to be contacted by the applicant
AMARSID Lhassan lhassan.amarsid@cea.fr
CEA
DES/DEC/SESC/LDOP
Lhassan AMARSID
Ingénieur Chercheur
CEA/DES/IRESNE/DEC/SESC/LDOP – Bat 151
13108 Saint-Paul lez Durance
0442254496
Tutor / Responsible thesis director
RADJAI Franck franck.radjai@umontpellier.fr
CNRS
LMGC (UMR CNRS 5508) Université de Montpellier
LMGC
CC 048
Université de Montpellier
Place Eugène Bataillon
34095 Montpellier cedex 5, France
06.86.38.58.63
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