Communication publiée dans un périodique (Colloques, congrès, conférences scientifiques et actes)
The extended discrete element method (XDEM) applied to drying of a packed bed
PETERS, Bernhard; BESSERON, Xavier; ESTUPINAN DONOSO, Alvaro Antonio et al.
2014In Industrial Combustion, 14, p. 1-16
Peer reviewed vérifié par ORBi
 

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Mots-clés :
Drying; Extended discrete element method; Modelling; Multi-physics; Packed bed; Process engineering; Agricultural machinery; Continuum mechanics; Flow of fluids; Food processing; Fuels; Models; Packed beds; Combustion of solid fuels; Engineering applications; Food processing industry; Mass and momentum transfers; Numerical solution method; Pharmaceutical industry; Position and orientations; Finite difference method
Résumé :
[en] A vast number of engineering applications involve physics not solely of a single domain but of several physical phenomena, and therefore are referred to as multi-physical. As long as the phenomena considered are to be treated by either a continuous (i.e. Eulerian) or discrete (i.e. Lagrangian) approach, numerical solution methods may be employed to solve the problem. However, numerous challenges in engineering exist and evolve; those include modelling a continuous and discrete phase simultaneously, which cannot be solved accurately by continuous or discrete approaches only. Problems that involve both a continuous and a discrete phase are important in applications as diverse as the pharmaceutical industry, the food processing industry, mining, construction, agricultural machinery, metals manufacturing, energy production and systems biology. A novel technique referred to as Extended Discrete Element Method (XDEM) has been developed that offers a significant advancement for coupled discrete and continuous numerical simulation concepts. XDEM extends the dynamics of granular materials or particles as described through the classical discrete element method (DEM) to include additional properties such as the thermodynamic state or stress/strain for each particle coupled to a continuous phase such as a fluid flow or a solid structure. Contrary to a continuum mechanics concept, XDEM aims at resolving the particulate phase through the various processes attached to particles. While DEM predicts the spatial-temporal position and orientation for each particle, XDEM additionally estimates properties such as the internal temperature and/or species distribution during drying, pyrolysis or combustion of solid fuel material such as biomass in a packed bed. These predictive capabilities are further extended by an interaction with fluid flow by heat, mass and momentum transfer and the impact of particles on structures. © International Flame Research Foundation, 2014.
Disciplines :
Ingénierie chimique
Identifiants :
eid=2-s2.0-84904285578
Auteur, co-auteur :
PETERS, Bernhard ;  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
HOFFMANN, Florian ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
MICHAEL, Mark ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
MAHMOUDI, Amir Houshang ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
The extended discrete element method (XDEM) applied to drying of a packed bed
Date de publication/diffusion :
2014
Nom de la manifestation :
Finnish-Swedish Flame Days 2013
Date de la manifestation :
2013
Manifestation à portée :
International
Titre du périodique :
Industrial Combustion
eISSN :
2075-3071
Maison d'édition :
IFRF Combustion Journal
Volume/Tome :
14
Pagination :
1-16
Peer reviewed :
Peer reviewed vérifié par ORBi
Disponible sur ORBilu :
depuis le 23 novembre 2017

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