XDEM multi-physics and multi-scale simulation technology: Review of DEM–CFD coupling, methodology and engineering applications--颗粒学报PARTICUOLOGY

Peters, B., Baniasadi, M., Baniasadi, M., Besseron, X., Donoso, A. E., Mohseni, M., & Pozzetti, G. (2019). XDEM multi-physics and multi-scale simulation technology: Review of DEM–CFD coupling, methodology and engineering applications. Particuology, 44, 176-193. https://doi.org/10.1016/j.partic.2018.04.005

XDEM multi-physics and multi-scale simulation technology: Review of DEM–CFD coupling, methodology and engineering applications

Bernhard Peters ^*, Maryam Baniasadi, Mehdi Baniasadi, Xavier Besseron, Alvaro Estupinan Donoso, Mohammad Mohseni, Gabriele Pozzetti

Université du Luxembourg, 6, rue Coudenhove-Kalergi, L-1359, Luxembourg

10.1016/j.partic.2018.04.005

Volume 44, June 2019, Pages 176-193

Received 27 August 2017, Revised 14 February 2018, Accepted 2 April 2018, Available online 17 December 2018, Version of Record 30 April 2019.

E-mail: bernhard.peters@uni.lu

Highlights

• Relevant literature on multi-phase flow with particulate material as a solid phase was reviewed.

• The XDEM multi-physics and multi-scale simulation platform (XDEM-suite) was introduced.

• XDEM-suite extended the application of XDEM to estimating the thermodynamic state of each particle.

• Approaches presented were validated with experimental data.

Abstract

The extended discrete element method (XDEM) multi-physics and multi-scale simulation platform is being developed at the Institute of Computational Engineering, the University of Luxembourg. The platform is an advanced multi-physics simulation technology that combines flexibility and versatility to establish the next generation of multi-physics and multi-scale simulation tools. For this purpose, the simulation framework relies on coupling various predictive tools based on an Eulerian and Lagrangian approach. The Eulerian approach represents the wide field of continuum models; the Lagrangian approach is perfect for characterising discrete phases. Continuum models thus include classical simulation tools, such as computational fluid dynamics simulation and finite element analysis, while an extended configuration of the classical discrete element method addresses the discrete (e.g., particulate) phase. Apart from predicting the trajectories of individual particles, XDEM-suite extends the application of the XDEM to estimating the thermodynamic state of each particle using advanced and optimised algorithms. The thermodynamic state may include temperature and species distributions due to chemical reaction and external heat sources. Hence, coupling these extended features with either computational fluid dynamics simulation or finite element analysis opens a wide range of applications as diverse as pharmaceuticals, agriculture, food processing, mining, construction and agricultural machinery, metals manufacturing, energy production and systems biology.

Graphical abstract

Keywords

Multi-phase modelling; Coupled computational fluid dynamics–discrete element method

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