5 mois

Stage Master 2 : Modeling acoustic flow inside a thermoacoustic regenerator

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Oscillating flows are encountered in many engineering applications, such as blood flows and fluid control systems. Oscillating flows at high frequencies (i.e., acoustic flows) have much less investigated than quasi-steady oscillating flows (i.e., low frequency and high amplitude). Acoustic flows are found in many engineering applications, such as Stirling engines and thermoacoustic devices (i.e., engines and refrigerators). The change of the flow regime from laminar to turbulence is an important phenomenon because it may influence the performance of these devices. The current study focuses on thermoacoustic devices
Eduardo Martini - Contacter
Islam Ramadan - Contacter
ENSIP/ENSMA

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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