Description

General context of the project:
The Laser Powder Bed Fusion (LPBF) process is currently at the peak of its industrial development, thanks to its ability to produce complex geometries. However, a number of known bottlenecks limit its capacity and wider industrial dissemination: Lengthy, iterative parametric research, difficulties in microstructures adaptation, process instabilities, lack of reliable and of on-line process control requiring high-performance numerical tools for upstream optimization of the process.

PhD objectives:
The CINDERELLA project aims to accelerate the mastery of the L-PBF process by considering both experimental and numerical approaches assisted by Artificial Intelligence (AI), from laser-material interaction to liquid metal pool and microstructure generation.

Skills required

Candidate in engineering school or master 2 level, in material science or mechanics with experience in numerical modeling. An interest in additive manufacturing processes and/or Artificial Intelligence (IA) methods is expected.

Bibliography

[1] Th. Camus, D. Maisonnette, O. Baulin, O. Senninger, G. Guillemot, Ch.-A. Gandin, Threedimensional modeling of solidification grain structures generated by laser powder bed fusion, Materialia 30, 2023, pp.101804.

[2] Th. Camus, Modélisation des microstructures générées en fabrication additive par procédé LPBF d'un alliage base nickel, Doctorat Mines Paris – PSL, 2023.

[3] Z. Li, M. Bellet, C.-A. Gandin, M. V. Upadhyay, Y. Zhang, Metallurgically-driven thermomechanical analysis of multiple side-to-side laser melting on a 316L substrate. Additive Manufacturing, 112, 2025, pp.104991.

[4] G. Guillemot, Ch.-A. Gandin, PhysalurgY library, physalurgy.cemef.mines-paristech.fr

Keywords

Additive Manufacturing, powder bed laser fusion (L-PBF), solidification