(H/F) Aero-Electro-Dynamic (AED) propulsion modeling and data assimilation for ionic wind generationrat

The goal of the post-doc position at IMFT is to achieve various challenging footsteps. -To handle the 2D numerical modeling of AED at moderate Mach numbers (incompressible flows) with an original two-way coupling between the fluid and the ionic wind described into the drift region. This first issue will be pursued with the help of an existing in-house code developed with the Free-FEM++ finite elements library. This code needs to be improved by taking into account some additional coupling terms to implement into the existing Newton iteration solver. Some parametric exploration
will conclude this first step, using the user-friendly in-house StabFEM code-driver
(https://stabfem.gitlab.io/StabFem/). The forcing Coulomb term will also be provided to our partner ISAE-Sup-Aéro in various configurations
- To develop a data assimilation strategy based on a variational approach, associated with the identification of the ionic flux emitted from the emitter region feeding the charges into the domain. The adjoint formulation of the 'one-way' coupling problem will first be implemented on the 'one-way' direct solver onto tailored, numerically generated, incomplete data so as to test the assimilation strategy. Later-on, the adjoint problem for the two-way coupling problem will be developed and validated. The data assimilation performance and robustness
will then be measured on the numerically generated and artificially noised data. Finally the both 'one way' coupling and 'two-way' coupling assimilation strategies will be applied to assimilate the ionic flux near emitter from experimental measurements involving current/Voltage laws, and 2D PIV
measurements (Monrolin et al 2018).
Key words : Data assimilation, CFD, aerodynamics, ionic wind, adjoint method

Références :
K. Masuyama, et al., , Proceedings of the Royal Society A: 50, 6,1480-1486, 2013.
C.K. Gilmore and S.R.H. Barrett, Proceedings of the Royal Society A: 471(2175), 2015.
H. Xu, Haofeng et al, Nature, 563 7732, 532,2018.
N. Monrolin, et al. , AIAA, 55, 12, 4296-4305, 2017.
N. Monrolin, et al. , Phys. Rev. Fluid., 3, 063701, 2018.

We look for a motivated young researcher to an experience in scientific computing and data assimilation for Aero-Electro-Dynamic flows. His/her role will be to develop and test new assimilation strategies from PIV measurements in a field where data assimilation techniques have been rarely used.

ANR project PROPUL-ION (associating three laboratories, i.e PPRIME in Poitiers,
IMFT and DEAP @ ISAE-Sup-Aéro, Toulouse) into which this post-doc takes place.