Paper published in a journal (Scientific congresses, symposiums and conference proceedings)
A discrete/continuous numerical approach to multi-physics
Peters, Bernhard; Besseron, Xavier; Estupinan Donoso, Alvaro Antonio et al.
2015In IFAC-PapersOnLine, 28 (1), p. 645-650
Peer Reviewed verified by ORBi
 

Files


Full Text
1-s2.0-S2405896315001421-main.pdf
Publisher postprint (969.31 kB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Computational fluid dynamics (CFD); Extended discrete element method (XDEM); Finite element analysis (FEA); Agricultural machinery; Agriculture; Computational fluid dynamics; Finite difference method; Flow of fluids; Food processing; Numerical methods; Food processing industry; Homogeneous solutions; Mass and momentum transfers; Pharmaceutical industry; Predictive capabilities; Species distributions; Technical applications; Finite element method
Abstract :
[en] A variety of technical applications are not only the physics of a single domain, but include several physical phenomena, and therefore are referred to as multi-physics. As long as the phenomena being taken into account is either continuous or discrete i.e. Euler or Lagrangian a homogeneous solution concept can be employed. However, numerous challenges in engineering include continuous and discrete phase simultaneously, and therefore cannot be solved only by continuous or discrete approaches. Problems include both a continuous and a discrete phase are important in applications of the pharmaceutical Industry e.g. drug production, agriculture and food processing industry, mining, construction and Agricultural machinery, metal production, power generation and systems biology. The Extended Discrete Element Method (XDEM) is a novel technique, which provides a significant advance for the coupled discrete and continuous numerical simulation concepts. It expands the dynamics of particles as described by the classical discrete element method (DEM) by a thermodynamic state or stress/strain coupled as fluid flow or structures for each particle in a continuum phase. XDEM additionally estimates properties such as the interior temperature and/or species distribution. These predictive capabilities are extended to fluid flow through an interaction by heat, mass and momentum transfer important for process engineering. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Disciplines :
Materials science & engineering
Identifiers :
eid=2-s2.0-84954160725
Author, co-author :
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
Mahmoudi, Amir Houshang ;  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
External co-authors :
yes
Language :
English
Title :
A discrete/continuous numerical approach to multi-physics
Publication date :
2015
Event name :
8th Vienna International Conference on Mathematical Modelling, MATHMOD 2015
Event date :
18 February 2015 through 20 February 2015
Audience :
International
Journal title :
IFAC-PapersOnLine
ISSN :
2405-8963
Publisher :
Elsevier, Kidlington, United Kingdom
Volume :
28
Issue :
1
Pages :
645-650
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Automation and Control Institute (ACIN);et al.;Federation of European Societies on Modelling and Simulation (EUROSIM);Institute of Analysis and Scientific Computing Mathematical Modelling and Simulation Group (ASC);International Federation for Automatic Control (IFAC);Vienna University of Technology (TUWIEN)
Commentary :
117491
Available on ORBilu :
since 23 November 2017

Statistics


Number of views
86 (9 by Unilu)
Number of downloads
2 (2 by Unilu)

Scopus citations®
 
4
Scopus citations®
without self-citations
1
OpenCitations
 
1
WoS citations
 
3

Bibliography


Similar publications



Contact ORBilu