Benjamin Krull

ORCID: 0000-0002-5394-0384
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About
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Research Areas
  • Fluid Dynamics and Mixing
  • Fluid Dynamics and Heat Transfer
  • Lattice Boltzmann Simulation Studies
  • Cyclone Separators and Fluid Dynamics
  • Nuclear Engineering Thermal-Hydraulics
  • Heat Transfer and Boiling Studies
  • Fluid Dynamics and Turbulent Flows
  • Computational Fluid Dynamics and Aerodynamics
  • Electrohydrodynamics and Fluid Dynamics
  • Aerodynamics and Fluid Dynamics Research
  • Advanced Numerical Methods in Computational Mathematics
  • Spacecraft and Cryogenic Technologies
  • Aerosol Filtration and Electrostatic Precipitation
  • Minerals Flotation and Separation Techniques
  • Image Processing and 3D Reconstruction
  • Neural Networks and Applications
  • Nuclear Materials and Properties
  • Fluid Dynamics Simulations and Interactions
  • Nuclear reactor physics and engineering
  • Software Testing and Debugging Techniques
  • Enhanced Oil Recovery Techniques

Helmholtz-Zentrum Dresden-Rossendorf
2022-2024

TU Dresden
2015-2017

Ansys (United States)
2014

Ansys (Germany)
2013

The paper proposes a combined experimental and numerical procedure for the investigation of bubbly liquid-metal flows. It describes application to model configuration consisting recirculating GaInSn flow driven by an argon bubble chain. methods involve X-ray measurements detect bubbles UDV gain velocity information about liquid metal. chosen method is immersed boundary extended deformable bubbles. includes typical phenomena occurring in industrial applications allows insight into physics...

10.1088/1757-899x/228/1/012006 article EN IOP Conference Series Materials Science and Engineering 2017-07-01

Abstract Morphology‐adaptive multiphase models are becoming more established for the numerical description of complex gas‐liquid flows adapting dynamically to local flow morphology. In present study, two different methods originally designed distinct morphologies combined, namely volume‐of‐fluid and Euler–Euler method. Both edge cases have been proven be capable delivering reliable predictions in respective use cases. The long‐term goal is improve prediction flows, regardless regime a...

10.1002/fld.5215 article EN cc-by International Journal for Numerical Methods in Fluids 2023-05-27

The two-fluid model is usually combined with closure forces designed for applications on coarse grids, i.e. bubbles (or particles) are typically assumed to be smaller than a grid cell. Practical however include situations were the mesh comparatively fine, e.g. when meshing wall boundary layer or in cases growing bubbles. This may lead non-convergent behaviour studies void fraction oscillations. To tackle this problem, filtering approach proposed, based an additional diffusion term continuity...

10.1016/j.ces.2024.119909 article EN cc-by Chemical Engineering Science 2024-02-23

Industrial multiphase flows are typically characterized by coexisting morphologies. Modern simulation methods well established for dispersed [e.g., Euler-Euler (E-E)] or resolved volume-of-fluid (VOF)] interfacial structures. Hence, a morphology adaptive multifield two-fluid model is proposed that able to handle and structures in the computational domain with same set of equations. An drag formulation large used describe them VOF-like manner. For structures, baseline developed at...

10.1080/00295639.2022.2120316 article EN Nuclear Science and Engineering 2022-11-21

Modeling of annular flow with the computational fluid dynamics (CFD) is challenging as one has to consider several, rather different, phenomena simultaneously: continuous liquid film, gas core, and dispersed droplets. A morphology-adaptive multifield two-fluid model (MultiMorph) developed by Meller et al. [“Basic verification a numerical framework applied morphology adaptive considering bubble motions,” Int. J. Numer. Methods Fluids 93(3), 748–773 (2021)], three phase fields, well suited...

10.1063/5.0169288 article EN Physics of Fluids 2023-10-01

The morphology-adaptive multifield two-fluid model MultiMorph focuses on the reliable and robust simulation of interfacial multiphase flows in industrial applications. idea is to combine Volume-of-Fluid approach with Euler-Euler both large small scale structures efficiently. choice local representation structures, such as bubbles or droplets, by either first second aforementioned basic method strongly depends ratio length interface feature grid spacing. In case computational gets too coarse...

10.1016/j.nucengdes.2024.113470 article EN cc-by Nuclear Engineering and Design 2024-07-19

In this work, a method to increase the residence time of bubbles in tubes or pipes filled with liquid metal is investigated. Imposing horizontal electric current and perpendicular magnetic field generates an upward-directed Lorentz force. This force can counteract gravity cause floating bubbles. Even homogeneous fields these float mean but fluctuate randomly within swarm due mutual interactions. present case cylindrical shape container furthermore creates inhomogeneous currents distribution...

10.1088/1757-899x/228/1/012008 article EN IOP Conference Series Materials Science and Engineering 2017-07-01

Two-phase flows generally occur with various flow regimes, even in fixed geometries. The transition from one regime to another requires careful numerical modeling. In vane-type gas-liquid separators, the bubbly stratified is dominating phenomena. This paper describes application of a morphology adaptive multifield two-fluid model (OpenFOAM-Hybrid, Meller et al., Int J Numer Methods Fluids, 93(3), 748-773) predict complex such separator, covering different regimes and corresponding...

10.2139/ssrn.4144143 article EN SSRN Electronic Journal 2022-01-01

Abstract Turbulent single-phase simulations in a geometrical domain reproducing the new ROFEX test facility (3×3 rod bundle) were conducted. These investigations aimed to perform an initial study for future analysis of boiling processes same facility. The final goal these experiments is validation CFD models. current allow assessment turbulent flow conditions this

10.3139/124.110317 article EN Kerntechnik 2013-03-19
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