Renaud Ansart
University of Toulouse
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Featured researches published by Renaud Ansart.
Drying Technology | 2016
Antoine Aubin; Renaud Ansart; Mehrdji Hemati; Thierry Lasuye; Marc Branly
ABSTRACT An original experimental method is used to determine drying kinetic at particle scale. The particle scale kinetics was obtained by immersion of a small mass of wet polyvinyl chloride (PVC) particles (cake) in a batch dense fluidized bed containing inert hot particles (glass bead). The results are summarized here and prove clearly that the PVC drying is controlled by a competition between internal and external transfers. The drying kinetic was described by a particle scale model taking into account the convective–diffusive (mass transfer) and the convective–evaporative (heat transfer) phenomena. To validate this model with the experimental data, the experimental fluidized bed dryer is modeled following two different approaches: a perfect stirred reactor model and a 3D numerical simulation using the multiphase flow code NEPTUNE_CFD. The aim of this 3D simulation is to simulate the phenomena occurring, at local scale, in a dense fluidized bed dryer and to show the limitations of the perfect stirred reactor model.
Journal of Propulsion and Power | 2014
Marie-Charlotte Gauffre; Hervé Neau; Olivier Simonin; Renaud Ansart; Nicolas Meyers; Stéphane Petitot
Experiments are carried out with substitution fluids (air and water), without heat and mass transfer on a rocket engine mockup. The work presented here intends to reproduce the experimental results using incompressible two-phase flow simulations. The geometry used is representative of the experimental mockup composed of a feeding pipe, a dome, and a number of injectors. The objective of the paper is to adapt a Eulerian–Eulerian two-fluid model approach to simulate the filling of a dome and to test its ability to reproduce some experimental evidences. The main difficulties to be faced are the fast transients in a complex geometry, including in particular the valve opening sequence, and the drastic evolution of the two-phase flow regime as the flow evolves from gas only to liquid only. An important work has been conducted to obtain the proper inlet conditions to be imposed in the code in coherence with the experiments. The influences of the turbulence modeling and the interfacial momentum transfer modeling ...
48th AIAA/ASME/SAE/ASEE Joints Propulsion Conference and Exhibit, AIAA | 2012
Marie-Charlotte Gauffre; Hervé Neau; Olivier Simonin; Renaud Ansart; Nicolas Meyers; Stéphane Petitot
The feeding of the LOX dome of a cryogenic rocket-engine is a decisive stage of the transient engine ignition. However flight conditions are difficult to reproduce by experimental ground tests. The work reported here is part of an ongoing research effort to develop a robust method for prediction and understanding the LOX dome feeding. In the framework of this project, experiments with substition fluids (air and water) are conducted, without mass and energy transfer. This work presented here intends to reproduce these experiments through incompressible two-phase flow CFD simulations, in an industrial geometry equivalent to the experimental mock-up, made up of a feeding piper, a dome and 122 injectors. More precisely, the aim is to compare the numerical results obtained with NEPTUNE CFD code with the experimental results, through the dome pressure and the mass flow rate of water at the outlet. An important work was made to obtain the same inlet conditions in NEPTUNE CFD code as the experimenters, in order to compare the numerical results with the experimental results for the best. The influence of the interfacial momentum transfer modeling and turbulence modeling are also studied here. The turbulence modeling plays no macroscopic or local role on the mass flow rate of water, on the mass of water in dome and on the dome pressure. The drag model has a major impact on our results as well globally as locally, unlike the turbulence modeling. The Simmer-like model is prefered in comparison to the Large Interface called LIM, because it is in better agreement with experimental data. Moreover, it has to be highlighted that the Simmer-like model is very sensitive to its parameter d, the inclusion diameter.
Chemical Engineering Science | 2013
Gilles Flamant; Daniel Gauthier; Hadrien Benoit; Jean-Louis Sans; Roger Garcia; Benjamin Boissière; Renaud Ansart; Mehrdji Hemati
Energy Procedia | 2014
Gilles Flamant; Daniel Gauthier; Hadrien Benoit; Jean-Louis Sans; Benjamin Boissière; Renaud Ansart; Mehrdji Hemati
Chemical Engineering Science | 2015
Farzam Fotovat; Renaud Ansart; Mehrdji Hemati; Olivier Simonin; Jamal Chaouki
Powder Technology | 2009
Renaud Ansart; Alain de Ryck; John Dodds; Matthieu Roudet; David Fabre; François Charru
Canadian Journal of Chemical Engineering | 2015
Benjamin Boissière; Renaud Ansart; Daniel Gauthier; Gilles Flamant; Mehrdji Hemati
Powder Technology | 2011
Renaud Ansart; Jean-Jacques Letourneau; Alain de Ryck; John Dodds
Chemical Engineering Journal | 2009
Renaud Ansart; Alain de Ryck; John Dodds