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Tipologia
Tesi teorica
Argomento
Elastic turbulence in curvilinear geometries
Disponibile dal
25/01/2022
Presso
Unité de Mécanique de Lille – J. Boussinesq, Università di Lille (Francia)
Altre informazioni

One of the most remarkable effects of highly viscous polymer solutions that has been recently observed in experiments is the development of an elastic turbulence regime in the limit of strong elasticity. The flow of polymer solution in this regime displays irregularities typical of turbulent flows even at low velocity and high viscosity (i.e., for vanishing Reynolds number). As a consequence of turbulent motion at small scales, elastic turbulence can reveal as an efficient technique for mixing in very low Reynolds flows (e.g., in microchannels). Despite its great technological interest, elastic turbulence is still only partially understood from a fundamental point of view.

During this internship, we will build up on the results obtained in a previous internship that demonstrated the numerical reproducibility of elastic turbulence in a 2D Taylor-Couette (fig. 1, left) and a 2D serpentine channel (fig. 1, right). The analysis will focus on the Eulerian and Lagrangian mixing properties in these two setups, with the aim of relating them to the statistical behavior of velocity fluctuations as a function of the flow elasticity and the polymer concentration.

 

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This project is conceived as a continuation of the homonymous Master M2 internship funded by the Fédération Lilloise Mécanique in 2020/2021, and as a stepstone towards the investigation of the phenomenon of emulsification in elastic turbulence. Within the framework of the international collaboration with experimental researchers and theoreticians, a proposal for an ANR project is being submitted, leading to potential funding for this research work during a PhD thesis.

Keywords: Fluid mechanics, Turbulence, Complex fluids, Numerical simulation.

Prérequis : Education in Fluid mechanics, Physics, Applied Mathematics. Good knowledge of fluid mechanics and an interest for numerical methods. Good knowledge of oral and written English is required. Knowing a programming language (Python, C, Fortran) would be a plus.

 

Stato
Disponibile

Rivolgersi a:

Docente
F. Romanò (LMFL ,Lille), E. Calzavarini (UML, Lille)
Email
francesco.romano@ensam.eu, enrico.calzavarini@polytech-lille.fr
Telefono
0116707428
Ultimo aggiornamento: 25/01/2022 16:36
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