3 ans

CLOSED-LOOP FLOW CONTROL BY PLASMA DISCHARGE AND MACHINE LEARNING

[TheChamp-Sharing]
We propose to numerically derive closed-loop control strategies of different flows. We will treat the numerical simulation aspects of physical mechanisms (electrodynamics and fluid mechanics) and the development of innovative control strategies (Data Driven approaches based on machine learning methods). We will study two rather emblematic types of flows: - The flow behind an obstacle (cylinder, wing profile, backward facing step). This type of strongly separated flow is particularly interesting in cases where the objective of the control is to increase aircraft stealth.
Laurent CORDIER - Contacter
Philippe TRAORE - Contacter
CNRS - Université de Poitiers – ISAE-ENSMA - UPR 3346
11 Boulevard Marie et Pierre Curie
Site du futuroscope

TSA 41123

86073 POITIERS CEDEX 9

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12 Mois

Instability development at the interface of viscous heterocharged fluids

The proposed studies will relate to a low Reynolds laminar flow of a two-dimensional mixture layer of a highly viscous dielectric fluid. The fluid / fluid interface will be studied experimentally under different conditions. This subject is part of action 5.1 of the INTERACTIVES labex, action which concerns the manipulation of internal flow by electrical discharge and charge injection.

12 months

POST-DOC (M/F) - Control by Machine Learning of bluff body wakes

At the CNRS-Laboratory PPRIME, based at the Futuroscope, this post-doctorate position is part of the French ANR COWAVE program between the laboratories PRISME in Orleans, Pprime in Poitiers, LHEEA in Nantes and the PSA automotive industry. This Post-Doc position concerns the Pprime contribution to the COWAVE project which aims the experimental exploration of closed-loop wake control strategies with mobile flaps in a water tunnel facility. Three-dimensional bluff-body wakes generate pressure drag and side forces and thus contribute significantly to the fuel consumption and pollutant emission of road vehicles. Despite this crucial impact and the numerous attempts to reduce harmful environmental effect of bluff body wakes by flow control it is still unclear what is the most efficient control strategy! In this context, the ANR project COWAVE addresses two fundamental aspects of wake control: - First, what kind of actuators are most efficient? While most closed-loop control strategies use viscous entrainment effects to actuate the shear layers in the wake, the exploitation of pressure forces produced by mobile deflectors could be an interesting alternative to be tested. - Second, for the implementation of closed-loop control, we want to test if control strategies obtained by machine learning techniques allow to obtain better efficiency and robustness than the more classical model-based approaches? The proposed Post-Doc position is part of the French ANR COWAVE program between the laboratories PRISME in Orleans, Pprime in Poitiers, LHEEA in Nantes and the PSA automotive industry. This Post-Doc position concerns the Pprime contribution to the COWAVE project which aims the experimental exploration of closed-loop wake control strategies with mobile flaps in a water tunnel facility. APPLY Follow link / Application Deadline : 12 March 2021 https://bit.ly/3qDG6Ml