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A coupled lattice Boltzmann method and discrete element method for discrete particle simulations of particulate flows

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TLDR
A novel coupling approach for discrete particle simulations using a lattice Boltzmann formulation of the generalized Navier-Stokes equations that promises efficient simulations suitable for high performance computing and is also applicable to non-dilute particulate systems.
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This article is published in Computers & Fluids.The article was published on 2018-08-30 and is currently open access. It has received 27 citations till now. The article focuses on the topics: Discrete element method & Lattice Boltzmann methods.

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waLBerla: A block-structured high-performance framework for multiphysics simulations

TL;DR: This work presents several example applications realized with waLBerla, ranging from lattice Boltzmann methods to rigid particle simulations, and shows how these methods can be coupled together, enabling multiphysics simulations.
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A comprehensive parametric study of LBM-DEM for immersed granular flows

TL;DR: A parametric study of a fluid-particle model which couples Lattice Boltzmann Method and Discrete Element Method using an immersed moving boundary technique demonstrates the capability of LBM-DEM to describe the dynamics of densely packed and friction dominant immersed granular flows, highlighting its potential to study geophysical mass movements.
Journal ArticleDOI

A mechanistic approach for predicting mass transfer in bioreactors

TL;DR: This work proposes, implement, and validate a mechanistic transport model for predicting oxygen transfer rates within stirred tank bioreactors, and presents a physics-based modeling approach for solving these equations in tandem and in real-time.
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A scalable and extensible checkpointing scheme for massively parallel simulations

TL;DR: In this paper, the probability of a fail-safe simulation on a massively parallel supercomputing system was investigated and the results showed that failure probability of simulated simulations in engineering or in the materials sciences can consume enormous computing resources and thus require the use of massively parallel computers.
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Modeling mass transfer in stirred microbioreactors

TL;DR: In this article , a mechanistic in-silico approach for predicting mixing and mass transfer in a two-phase stirred tank bioreactor is presented, which is tailored to run on GPUs and makes a direct appeal to first principles turbulence theory.
References
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Journal ArticleDOI

A discrete numerical model for granular assemblies

Peter Cundall, +1 more
- 01 Mar 1979 - 
TL;DR: The distinct element method as mentioned in this paper is a numerical model capable of describing the mechanical behavior of assemblies of discs and spheres and is based on the use of an explicit numerical scheme in which the interaction of the particles is monitored contact by contact and the motion of the objects modelled particle by particle.
Journal ArticleDOI

Lattice boltzmann method for fluid flows

TL;DR: An overview of the lattice Boltzmann method, a parallel and efficient algorithm for simulating single-phase and multiphase fluid flows and for incorporating additional physical complexities, is presented.
Journal ArticleDOI

Lattice BGK Models for Navier-Stokes Equation

TL;DR: In this article, the Navier-Stokes equation is obtained from the kinetic BGK equation at the second-order approximation with a properly chosen equilibrium distribution, with a relaxation parameter that influences the stability of the new scheme.
Journal ArticleDOI

The lift on a small sphere in a slow shear flow

TL;DR: In this article, it was shown that a sphere moving through a very viscous liquid with velocity V relative to a uniform simple shear, the translation velocity being parallel to the streamlines and measured relative to streamline through the centre, experiences a lift force 81·2μVa2k½/v½ + smaller terms perpendicular to the flow direction, which acts to deflect the particle towards the streamline moving in the direction opposite to V.
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