PhD defence of Rémy Gérard
4 July 2022
Rémy Gérard will defend his PhD in Computational Mathematics, High Performance Computing and Data on July 4, 22.
Fast, flexible surface to surface thermal radiative transfer for sintering applications
Rémy Gérard onducts his PhD work in the CFL team. He will defend his PhD in Computational Mathematics, High Performance Computing and Data, on July 4th, 22 in front of the following jury:
– M. Joan Baiges Aznar, Universitat Politècnica de Catalunya, Barcelona
– M. Charbel Abchi, Notre Dame University, Liban
– M. Assaad, Mines Paris – Centre Efficacité énergétique des Systèmes
– M. Elie Hachem, Mines Paris, CEMEF
– M. Aurélien Larcher, Mines Paris, CEMEF
Abstract:
Properly taking into account thermal radiative transfer matters a great deal to properly model numerous industrial processes. This thesis focuses on setting up a proper modelling for it in certain industrial configurations where some hypotheses are met: grey, homogeneous materials and non-transmitting medium. The Surface-to-surface approach we have chosen allows for such an accurate solving of thermal transfer. We make use of immersed meshes and implicit object definitions by the levelset function to allow for an adaptable model and an implicit definition of the radiating surfaces. We couple radiative transfer with other forms of thermal transfer in a P1 finite elements methods. After validating our model on numerous simple test cases, we set up ray tracing to accelerate obstruction computation and organize the radiating facets into a kd-tree. We conclude by ensuring our solver is highly scalable on parallel computing and show simulation cases of real industrial processes.
Thermal radiation between two cubes separated by a vacuum
Keywords: Thermal Radiation, S2S, Finite Elements, Kd Tree, Immersed Mesh, Ray Tracing
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