CFD Engineer

• Sep 2021 - Present

CFD Research Engineer

• Mar 2021 - Aug 2021

Simulation and modeling of turbulent flow for industrial application. Simulation and modeling of turbulent flow for industrial application.

Researcher

• Nov 2019 - Dec 2019

Numerical simulation of variable density flows Numerical simulation of variable density flows

Research Engineer in Fluid Mechanics- Phd Candidate

• Nov 2016 - Oct 2019

Subject: Turbulent mixing driven by variable density and transport coefficients effects. Context: Turbulent mixing is a ubiquitous phenomenon present in many natural and industrial application. For instance, inertial confinement fusion is an engineering problem where turbulent mixing plays a fundamental role. Despite its importance, many of its features are still not well understood in particular for turbulent mixing driven by variable density effects or by variation of viscosity and diffusivity. Results: -Development of a new massively parallel (C++/MPI) spectral DNS code : ⠀⠀⠀•Simulation of variable density flows with high-density contrasts and non-uniform and ⠀⠀⠀time-dependent viscosity and diffusivity. ⠀⠀⠀• Development of a spectral GMRES iterative method to compute pressure, viscous and ⠀⠀⠀diffusive contributions. ⠀⠀⠀• 2D-domain decomposition to improve scalability: for simulations of size N, it allows using ⠀⠀⠀up to N^2 processors. -Derivation and implementation (C++/MPI) of a spectral model for the sudden dissipation effect. -Use of neural networks (TensorFlow) to develop a $k-\epsilon$ turbulence model that can be used in RANS simulations in the design phases of nuclear fusion targets. We used the codes developed to study turbulent mixing in : -Homogeneous isotropic turbulence compression with plasma viscosity. -Idealized inertial confinement fusion target compression with variable density and non-uniform and time-dependent viscosity and diffusivity. -Unstably stratified homogeneous turbulence with significant non-Boussinesq effects (effects linked to the compressibility of the mix). Skills : - Development of high-performance computing (HPC) code for direct numerical simulation of Navier-Stokes equations. - Scientific communication: written and oral. - HPC environment and computation on Cobalt supercomputer. - Data Analysis with Python and Matlab. - C/C++, MPI, Matlab. Show less

Internship

• May 2016 - Sep 2016

Modelling of three-dimensional turbulent wake flows. Modelling of three-dimensional turbulent wake flows.

Internship

• May 2015 - Jul 2015

Experimental internship, at the Laboratoire de Mécanique de Fluides et Acoustique, with the objective of helping the development of a "cold"-wire anemometer to measure temperature fluctuations in turbulent flows. Experimental internship, at the Laboratoire de Mécanique de Fluides et Acoustique, with the objective of helping the development of a "cold"-wire anemometer to measure temperature fluctuations in turbulent flows.

CFD Analyst

• Oct 2013 - Aug 2014

Wings design using CATIA V5 and CFD analysis of the Formula SAE car aerodynamics using the commercial code Star-CCM+. Wings design using CATIA V5 and CFD analysis of the Formula SAE car aerodynamics using the commercial code Star-CCM+.