Computing and Fluids – CFL

    https://www.cemef.minesparis.psl.eu/wp-content/uploads/2020/01/0-1000x400.jpg

    Permanent Members

    Elie Hachem, leader
    Jérémie Bec (CNRS)
    Romain Castellani
    Thierry Coupez
    Patrice Laure (CNRS)
    Aurélien Larcher
    Philippe Meliga (CNRS)
    Youssef Mesri
    Edith Peuvrel-Disdier (CNRS)
    Franck Pigeonneau
    Rudy Valette

    About

    Welcome to the Computing and Fluids research group at CEMEF, Mines Paris.
    We are interested in developing new methods and techniques to address a number of problems in engineering, physics and life sciences. We focus on massively parallel numerical methods to efficiently model processes and physical phenomena at different industrial scales. We make use of experimental techniques to complement and validate our models.

    Much of our research involves Computational Mathematics and Mechanics, Mesh adaptation with error estimators, High Performance Computing, Experimental and Computational Fluid Dynamics (CFD) using Stabilized FEM and Variational MultiScale methods for:

    •  Complex and non-Newtonian fluids
    • Free surface and Multiphase Flows
    • Machine learning for fluid mechanics
    • Phase change and Conjugate heat transfer
    • Turbulence and fluid-structure interaction
    • Aerodynamics, wing engineering & performance

    Feel free to visit us at CFL - CEMEF or to contact us if you have questions.

    Illustrations

    Turbulent flows past an airplace
    Turbulent flows past an airplace
    Thales Alenia
    Thales Alenia
    simulation
    simulation
    The collapse of a water column with dynamic anisotropic meshing
    The collapse of a water column with dynamic anisotropic meshing
    several simulations
    several simulations
    example
    example
    the different steps
    the different steps

    "CEMEF combines strong scientific expertise in experimentation, modelling and numerics on industrial projects. It is this multidisciplinarity that motivated me to join the centre."

    Aurélien LARCHER, Professor-Researcher

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    On going PhD projects

    MATHNUM doctoral speciality

    • Wael BADER : Resolution strategies for computational mechanics using randomized linear algebra with controlled precision. Class of 2021
    • Jennifer EL ZAHABI : Advanced numerical modeling and simulation of the Lost Foam process. Class of 2021
    • Aurèle GOETZ : Development of a solid solver for complex behaviors. Class of 2021 + CSM team
    • Pablo JEKEN RICO : Remeshing of complex geometries by GPU. Class of 2021
    • Wassim ABDEL NOUR : Topological modelling of a two phases heat exchanger with high efficiency. Class of 2020
    • Louis Vincent BOUTHIER : Modelling and simulation of acoustical-thermomechanical couplings in complex fluids. Class of 2020
    • Thibaut DEVOS : Numerical development in C++ and finite elements of a two-phase aerothermal solver for additive manufacturing applications such as cold spraying for coating materials. Class of 2020
    • George EL HABER : Deep learning of models for computational mechanics with localized area of interest. Class of 2020
    • Cynthia HAYEK : Mutliphase flow and high-fidelity simulation for Loast Foam. Class of 2020
    • Sacha EL AOUAD :  Numerical and parallel modelling of fluid-solid interaction for heat treatment and quenching process Class of 2019
    • Joe KHALIL : Efficient computational platform for additive manufacturing by multiscale method and model reduction technique. Class of 2019
    • Ghaniyya MEDGHOUL : Immersed solid-fluid interfaces in industrial quenching processes in a massively parallel invironment with anisotropic meshing. Class of 2019
    • Aakash PATIL : Physics-Informed Deep Learning for Subgrid-Scale Modeling of Turbulent Flows. Class of 2019
    • Ali-Malek BOUBAYA : Error estimator, mesh and artificial intelligence coupling for complex industrial multiphase flows. Class of 2018
    • Hassan GHRAIEB : Computational mechanics and AI for optimisation and design. Class of 2018

    MNM doctoral speciality

    • Kindness ISUKWEM : Impact of non-Newtonian drops on liquids. Class of 2021
    • Alan TABORÉ : Modeling of residual stresses in an ophthalmic lens. Class of 2021 + MPI team
    • Sujie YU : Experimental studies of the formation of gels and aerogels (dry gels) based on natural polymers, cellulose and these industrial derivatives (methyl cellulose, hydroxypropyl cellulose). Class of 2021 + CFL team
    • Juan ITRIAGO : Cellularization of an elastomer in injection: Modeling of the process/physical process coupling to predict the cell microstructure. Class of 2020
    • Thibaut ROBINE : Theoretical and experimental study of phase separation applied to the formation of nanoparticles in fiber optic glasses. Class of 2020
    • Tiphaine HOUDARD : Study of the Solidification of electrofused AZS products. Class of 2019. + 2MS team
    • Charles BRISSOT : Multiscale/multifluid simulation of liquid-vapour-solid interactions. Class of 2018
    • Rémi GÉRARD : Aerothermics of industrial parts with Artificial Intelligence-assisted control and prediction. Class of 2018
    • Fian ASSEMIEN : Study and development of Ranque-Hilsch tube. Class of 2017