Description

The MORCAST PhD project aims to develop and validate projection-based reduced-order models for continuous casting, enabling near real-time process prediction, control, and optimization.

Skills required

• Master's degree (MSc or equivalent) in Computational Mechanics, Applied Mathematics, or Materials Science • Strong background in numerical simulation (FEM/CFD) and programming (C++, Fortran, Python) • Interest in model reduction, machine learning, and industrial applications • Good communication skills and motivation for interdisciplinary work.

Bibliography

[1] R. Forestier, F. Costes, O. Jaouen, M. Bellet, Finite element thermomechanical simulation of steel continuous casting, in: Proceedings MCWASP XII, 12th International Conference on Modeling of Casting, Welding and Advanced Solidification Processes, Vol. 12, The Minerals, Metals & Materials Society, Warrendale, Pennsylvania, USA, (2009), 295-302.

[2] M. Bellet, J. Keumo Tematio and Y. Zhang. The inherent strain rate method for thermo-mechanical simulation of directed energy deposition additive manufacturing. International Journal for Numerical Methods in Engineering, 124 (2023) (18), 4058–4074. https://doi.org/10.1002/nme.7293.

[3] J. Fauque, I. Ramière, D. Ryckelynck. Hybrid hyper-reduced modeling for contact mechanics problems. Int J Numer Methods Eng. 115 (2018): 117–139. https://doi.org/10.1002/nme.5798.

Keywords

Continuous Casting, Solidification, Thermomechanical Modeling