Article (Périodiques scientifiques)
The XDEM Multi-physics and Multi-scale Simulation Technology: Review on DEM-CFD Coupling, Methodology and Engineering Applications
PETERS, Bernhard; BANIASADI, Maryam; BANIASADI, Mehdi et al.
2019In Particuology, 44, p. 176 - 193
Peer reviewed vérifié par ORBi
 

Documents


Texte intégral
xdemelsarticle.pdf
Preprint Auteur (2 MB)
Télécharger

Tous les documents dans ORBilu sont protégés par une licence d'utilisation.

Envoyer vers



Détails



Mots-clés :
CFD-DEM; XDEM
Résumé :
[en] The XDEM multi-physics and multi-scale simulation platform roots in the Ex- tended Discrete Element Method (XDEM) and is being developed at the In- stitute of Computational Engineering at 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 both an Eulerian and Lagrangian approach. Eulerian approaches represent the wide field of continuum models while the Lagrange approach is perfectly suited to characterise discrete phases. Thus, continuum models include classical simulation tools such as Computa- tional Fluid Dynamics (CFD) or Finite Element Analysis (FEA) while an ex- tended configuration of the classical Discrete Element Method (DEM) addresses the discrete e.g. particulate phase. Apart from predicting the trajectories of individual particles, XDEM extends the application to estimating the thermo- dynamic state of each particle by 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 CFD or FEA opens up a wide range of applications as diverse as pharmaceutical industry e.g. drug production, agriculture food and processing industry, mining, construction and agricultural machinery, metals manufacturing, energy production and systems biology.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
PETERS, Bernhard ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
BANIASADI, Maryam ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
BANIASADI, Mehdi ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
BESSERON, Xavier  ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
ESTUPINAN DONOSO, Alvaro Antonio  ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
MOHSENI, Seyedmohammad ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
POZZETTI, Gabriele ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
The XDEM Multi-physics and Multi-scale Simulation Technology: Review on DEM-CFD Coupling, Methodology and Engineering Applications
Date de publication/diffusion :
2019
Titre du périodique :
Particuology
ISSN :
1674-2001
Maison d'édition :
Elsevier, Pays-Bas
Volume/Tome :
44
Pagination :
176 - 193
Peer reviewed :
Peer reviewed vérifié par ORBi
Focus Area :
Computational Sciences
Disponible sur ORBilu :
depuis le 10 octobre 2018

Statistiques


Nombre de vues
533 (dont 58 Unilu)
Nombre de téléchargements
763 (dont 17 Unilu)

citations Scopus®
 
59
citations Scopus®
sans auto-citations
42
OpenCitations
 
23
citations OpenAlex
 
1
citations WoS
 
54

Bibliographie


Publications similaires



Contacter ORBilu