F
Franz Durst
Researcher at University of Erlangen-Nuremberg
Publications - 347
Citations - 14431
Franz Durst is an academic researcher from University of Erlangen-Nuremberg. The author has contributed to research in topics: Turbulence & Reynolds number. The author has an hindex of 56, co-authored 342 publications receiving 13766 citations. Previous affiliations of Franz Durst include Karlsruhe Institute of Technology & University College West.
Papers
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Journal ArticleDOI
A theoretical explanation for possible temperature discontinuities across a macroscopically-sharp plane solidification front
Suman Chakraborty,Franz Durst +1 more
TL;DR: In this paper, a generalization of interfacial conditions is proposed, which can accommodate finite macroscopic jumps in the interfacial temperature, which is achieved by implicitly accounting for two disparate and unresolved time-scales, respectively associated with interfacial heat conduction and the molecular rearrangements that are necessary for phase transformation.
Journal ArticleDOI
Turbulent Flow Pattern of Hyperboloid Stirring Reactor
TL;DR: In this paper, periodical turbulent flow induced by a low shear hyperboloid stirrer in a fully baffled stirred tank reactor is experimentally studied at a constant Reynolds number, 5600, by using a diode fiber laser-Doppler anemometer.
Journal ArticleDOI
Computations of steady, ellipsoidal vortex rings with finite cores
Franz Durst,B. Schönung +1 more
TL;DR: In this paper, a numerical study of vortex rings of ellipsoidal shape is presented that have finite cores and are solution to the Navier-Stokes equations, the cross section of the core of the vortex ring is non-circular and is a result of the numerical solution described in the paper.
Book ChapterDOI
Numerical Analysis of the Pressure Drop in Porous Media Flow using the Lattice Boltzmann Computational Technique
TL;DR: In this paper, detailed simulations of low mach number Newtonian flow through randomly generated porous media for a wide range of Reynolds numbers were carried out using the lattice Boltzmann method, which has become an established tool for predicting flows in highly complex geometries.