6 months

Numerical Simulation of the Physico-Chemical Mechanisms of Interaction Between a Water Mist and a Non-Premixed Flame

[TheChamp-Sharing]
This internship aims to model and analyze the effect of water droplets on convective and radiative heat fluxes at the condensed fuel surface, flame structure, and unburned species using the FDS6 or FireFoam software. The primary goal is to provide general insights into the physico-chemical interaction mechanisms between the water mist and the non-premixed flame as a function of droplet size and spray velocity.
Wang - Contacter
Bouali - Contacter
Institut Pprime, Fluide-Thermique-Combustion,
ENSMA - BP 40109, Téléport 2, 1 av Clément ADER,
86961 Futuroscope Chasseneuil Cedex

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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