R
Robin Trunk
Researcher at Karlsruhe Institute of Technology
Publications - 15
Citations - 265
Robin Trunk is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Lattice Boltzmann methods & Reynolds number. The author has an hindex of 6, co-authored 14 publications receiving 126 citations.
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OpenLB—Open source lattice Boltzmann code
Mathias J. Krause,Adrian Kummerländer,Samuel J. Avis,Halim Kusumaatmaja,Davide Dapelo,Fabian Klemens,Maximilian Gaedtke,Nicolas Hafen,Albert Mink,Robin Trunk,Jan E. Marquardt,Marie-Luise Maier,Marc Haussmann,Stephan Simonis +13 more
TL;DR: The package presented here aims at providing an open access platform for both, applicants and developers, from academia as well as industry, which facilitates the extension of previous implementations and results to novel fields of application for lattice Boltzmann methods.
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Particle flow simulations with homogenised lattice Boltzmann methods
TL;DR: In this paper, an alternative approach to simulating arbitrarily shaped particles submersed in viscous fluid in two dimensions is proposed, obtained by adapting the velocity parameter of the equilibrium distribution function of a standard lattice Boltzmann method.
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Towards the simulation of arbitrarily shaped 3D particles using a homogenised lattice Boltzmann method
TL;DR: In this article, the homogenized lattice Boltzmann method (HLBM) is extended for 3D simulations of arbitrarily shaped particles, which are automatically constructed from a geometry file, describing the surface.
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Inertial dilute particulate fluid flow simulations with an Euler–Euler lattice Boltzmann method
TL;DR: A stabilized extension to the Euler–Euler approach is proposed, together with appropriate boundary conditions, to also account for drag forces and yield viable results for a wide range of Peclet and Reynolds numbers.
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Towards Lattice-Boltzmann modelling of unconfined gas mixing in anaerobic digestion
TL;DR: In this article, a Lattice Boltzmann model is proposed to simulate gas mixing in anaerobic digestion, which is validated in a laboratory-scale framework and flow patterns are assessed through Particle Imaging Velocimetry (PIV) and innovative Positron-Emission Particle Tracking (PEPT).