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PhD position on Large-Eddy Simulation of heat transfer in additive-manufactured heat exchangers

This offer is available in the following languages:
Français - Anglais

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General information

Reference : UMR6614-THIBES-005
Date of publication : Monday, August 19, 2019
Scientific Responsible name : Advisors: V. Moureau, G. Lartigue, A. Hadjadj
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 1 October 2019
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly

Description of the thesis topic

Context: In the aviation engineering, heat exchangers have a fundamental role especially in reducing the temperature of the fuel or of lubricant and thus increasing the efficiency of the aircraft engines. The latest progresses in additive manufacturing bring an extraordinary opportunity for Compact Heat Exchangers (CHX) to reach new performances, up to the possibility to achieve complex shape realization. Two main aspects are widely investigated in heat transfer efficiency: fluid flow and heat transfer performances. Topological optimization aims at determining the best repartition of components in a volume under constraints. Unfortunately, a gap still exists between the computationally optimized structures and the industrial reality: the lack of fundamental knowledge of the new additive manufacturing structures and the fact that significant wall roughness impacts the flow behavior (pressure loss and heat exchange). The STREAM project, funded in the H2020 CleanSky2 framework, is dedicated to the performance improvement of the new generation of heat exchangers, taking advantage of additive manufacturing, topological optimization and high-fidelity simulations. The CORIA laboratory has a recognized expertise in high-performance computational fluid dynamics (CFD). One of its CFD platform is YALES2 (, a low-Mach number large-eddy simulation code which aims at modeling turbulent flows with massive grids on large super-computers.
Objectives: One of the novelties of the STREAM project lies in the process of generating resolved-roughness meshes and their use for high-performance Large-Eddy Simulation (LES). An automatic mesh generator will be built upon several unique features of the YALES2 CFD solver: i) parallel mesh adaptation of massive tetrahedral-based meshes, ii) calculation of level set functions based on triangulated surfaces, iii) conformal tessellation of tetrahedral meshes based on level set functions. The coupling of all these features for mesh generation is original and is another step towards automatic meshing. Then, the YALES2 solver provides efficient solving of the variable-density Navier-Stokes equations with large grids on many thousand cores and embedded on-the-fly post-processing during the calculation. These features will enable to generate a large database of resolved-roughness LES with and without flow dilatation, which will be very rich and original. This database will be analyzed for model development with the LEGI laboratory in Grenoble (team MOST of G. Balarac).
Expected results:
Automatic mesh generator for resolved-roughness, parametric Large-Eddy Simulation of additive-manufactured heat exchangers.

Work Context

CORIA is a CNRS joint laboratory with INSA and University of Rouen. CORIA is a Mechanical Engineering Lab (200 people) fully devoted to reacting flows. This includes main interests in different fields as combustion, plasmas, spray studies, energetic processes. Approaches are experimental, with a great emphasis on optical methods as well as theoretical, through modeling of reacting flows. The laboratory is thus developing experimental diagnostic as well as new theoretical tools. Its mission is to provide excellence in scientific research and development, and it maintains strong links with industry.

Constraints and risks

None identified

Additional Information

The candidate must have a degree in engineering and/or a Masters in Mechanical Engineering or Applied Mathematics
Skills required:
Computational Fluid Dynamics, Numerical analysis, Object-Oriented Programming

Language skills
Writing skills in English, ability to formulate/work on a scientific project

Ability to work in a team

Applications must include a detailed CV and cover letter of one page.

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