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PhD position on Multi-scale modelling and numerical simulations of liquid-solid fluidised bed on non-spherical particles, LGC, Toulouse (France)

The objective of this numerical thesis is to develop mathematical modeling and 3D numerical simulations with two different approaches (Euler-Lagrange and Euler-Euler) in order to develop closure models for both phases (liquid and non-spherical particles).

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PhD position in the framework of ANR MUSCATS Location: Laboratoire de Génie Chimique de Toulouse, France http://www.lgc.cnrs.fr/.

PhD Directors: Renaud Ansart, Associate Professor, LGC/Toulouse INP and Olivier Simonin, Professor, IMFT/Toulouse INP.

Thesis: Multi-scale modeling and numerical simulations of liquid-solid fluidized bed of non-spherical particles

Context: The World’s increasing energetic demands are causing a rapid consumption of fossil reserves. To reply to this problematic, the industry’s main route in future may comprise the upgrading of heavy crude oils or an increasing use of biomass resources like bio-oils. To do so, one of the available technologies is a catalytic solid-liquid-gas fluidized bed reactor. In these devices, a bed of particles is fluidized by an ascending flow of liquid or gas. The particles generally used in this kind of devices are slender extrudates of cylindrical shape. These particulate flows are widely encountered in many other industrial processes (catalytic, adsorption, combustion reactors, fermentation, etc). Mastering and controlling these complex industrial devices require at first a better understanding of the intricate multi- scale hydrodynamics couplings at play between both solid and liquid phases in the specific case of anisotropic particles. Such knowledge has to be searched for in order to develop new models for Computational Fluid Dynamics (CFD) codes that will lead to more adapted designs of industrial units that could in particular achieve lower energy consumption and environmental footprint. The main goal of MUSCATS (between LGC-IMFT and IFPEN) project is to develop an innovative multi-scale modelling of fluidized bed of cylindrical particles, based on intensive DNS Euler-Lagrange, Euler-Euler simulations and carefully designed experiments. This project is felt by the partners as a unique opportunity to extend fundamental understanding of such flows, and to improve CFD tools for industry in order to enhance design and control of reactors.

Description: The objective of this numerical thesis is to develop mathematical modeling and 3D numerical simulations with two different approaches (Euler-Lagrange and Euler-Euler) in order to develop closure models for both phases (liquid and non-spherical particles).

The meso-scale Euler-Lagrange PeliGRIFF code will be used to derive and implement new robust closure laws according kinetic theory of granular flows for Euler-Euler approach in NEPTUNE_CFD which predictions will be tested at the industrial scale. These two approaches will be informed by Direct Numerical Simulation (DNS) results and by two experimental set-ups at intermediary scales measurements carried out by project partners. Cross validation between experiments and simulation will provide guidance for advancing to larger scales (Figure 1).

The strategy for dissemination of the results is to promote their diffusion both in academic (Peer- reviewed journal and Congress) and industrial communities (Workshop).

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Figure 1: Representation of multi-scale numerical and experimental coupled approach. (Thesis program WP4-WP5 and WP6)

Required skills: chemical/mechanical engineering, numerical methods, computational fluid dynamics. Required Education: Master (or equivalent) of Sciences degree.
Start date: 1st October 2020.
Mission duration: 3 years.

Net salary: 1600 Euros / month

Application process: Applicants must send a curriculum vitae and a motivation letter to Renaud Ansart (Renaud.ansart@toulouse-inp.fr) and Olivier Simonin (Olivier.simonin@toulouse-inp.fr)