Fluid Dynamics and Technical Flows

Major research interests

Direct Numerical Simulation of Supercritical Water Gasification of Polypropylene Plastic Particles.First 3D-DNS of gasification of polypropylene (PP) plastic particles in supercritical water. 60 fully-resolved PP particles (diameter: 400 mm) are arranged in a staggered manner in the direction of the supercritical water flow at T=900 K and P = 250 bar. Particle Reynolds number is 70. The size of the computational domain is 4 mm x 8 mm x 4 mm, resolved by 33 million grid points. — **Direct Numerical Simulation of Supercritical Water Gasification of Polypropylene Plastic Particle**s. First 3D-DNS of gasification of polypropylene (PP) plastic particles in supercritical water. 60 fully-resolved PP particles (diameter: 400 mm) are arranged in a staggered manner in the direction of the supercritical water flow at T=900 K and P = 250 bar. Particle Reynolds number is 70. The size of the computational domain is 4 mm x 8 mm x 4 mm, resolved by 33 million grid points.

**Direct Numerical Simulation of Supercritical Water Gasification of Polypropylene Plastic Particle**s.
First 3D-DNS of gasification of polypropylene (PP) plastic particles in supercritical water. 60 fully-resolved PP particles (diameter: 400 mm) are arranged in a staggered manner in the direction of the supercritical water flow at T=900 K and P = 250 bar. Particle Reynolds number is 70. The size of the computational domain is 4 mm x 8 mm x 4 mm, resolved by 33 million grid points.

Prof. Dr. Thévenin is particularly interested in developing further advanced simulation approaches allowing an accurate description of complex flows. His research mainly relies on Direct Numerical Simulations or Lattice Boltzmann models, combined with tools suitable for complex geometries and configurations, like Immersed Boundaries. The main research interest of D. Thévenin lies on multiphase flows, possibly involving additionally complex physicochemical processes, like reactions. After having derived and validated appropriate simulation tools, they are coupled with an in-house software library based on Evolutionary Algorithms, opening the door for simulation-driven flow optimization. This has been in particular applied in the last years to innovative reactors and turbomachines as well as to a variety of biomedical flows..

Possible research projects (not exhaustive)

Selective pyrolysis of mixed plastic waste and biogenic residues
(Collaboration partners: Prof. Tsotsas, Prof. Kienle)
Analysis of reaction networks and kinetics in catalytic pyrolysis
(Collaboration partner: Prof. Hamel)

Current doctoral researchers in the IMPRS ProEng program

M.Sc. Annnemarie Lehr

Website

PhD project since January 2020: Numerical Flow Simulation of a Solid-Liquid Counter-Current Screw Extractor

IMPRS ProEng Alumnae and Alumni

Cheng Chi

PhD thesis: Direct Numerical Simulations of Gaseous Combustion in Complex Geometry
(Mar. 16, 2021)

Seyed Ali Hosseini

PhD thesis: Modeling multi-species reacting flows using the lattice Boltzmann method
(Apr. 22, 2020)

Amir Eshghinejadfard

PhD thesis: Lattice Boltzmann Simulation of Laminar and Turbulent Two-Phase Flows (Nov. 16, 2017)

Luís Guilherme Medeiros de Souza

PhD thesis: Model optimization and techniques for the simulation of multiphase chemical reactors
(Aug. 12, 2016)

Hai Yu

PhD thesis: Flow induced cell damage
(Jun. 1, 2015)

Philipp Berg

PhD thesis: CFD-based hemodynamic investigation of patient-specific intracranial aneurysms
(Mar. 12, 2015)

Thirumalesha Chittipotula

PhD thesis: Numerical prediction of the production of nanoparticles in flames
(Oct. 26, 2012)

Santhosh Seshadhri

PhD thesis: Investigation and improvement of flow conditions in aneurysms
(Nov. 14, 2011)