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Improving the analysis of heat transfer in packed beds : a comparative study between DEM simulations and existing literature models
Citation Link: https://doi.org/10.15480/882.9565
Publikationstyp
Journal Article
Date Issued
2024-03-01
Sprache
English
TORE-DOI
Volume
203
Start Page
357
End Page
367
Citation
Chemical Engineering Research and Design 203: 357-367 (2024)
Publisher DOI
Scopus ID
ISSN
0263-8762
The heat transfer within particle beds is of significant importance in various industrial applications; however, its comprehension remains limited. The investigation of packed beds involves employing the use of effective thermal conductivity, a widely employed approach that is constrained by the need for extensive experimental work and the presence of heterogeneities. Discrete Element Method (DEM) simulations are widely recognized as a valuable tool for enhancing comprehension of complex systems. Nevertheless, the extensive computational time required for these simulations poses a significant limitation on their widespread implementation. The present study encompassed the integration of particle-particle and particle-wall heat transfer models into the MUSEN framework. The models were employed to simulate scenarios involving stationary packed particle beds. The proposed models were validated by data obtained from existing literature. A favorable agreement was achieved for all examined instances, with notable reductions in simulation times, comparable to those observed in simulations employing the continuum approach. The simulations were compared with established models in the literature, and the simulations exhibited higher accuracy in predicting experimental values. This highlights the potential of the proposed methodology to be utilized in heat transfer analysis while maintaining efficient simulation times, without the need for continuum approach simulations, and providing additional understanding of the underlying micro mechanisms.
Subjects
DEM modelling
Heat transfer
Particle bed systems
DDC Class
530: Physics
540: Chemistry
620: Engineering
Publication version
publishedVersion
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1-s2.0-S0263876224000704-main.pdf
Type
Main Article
Size
2.63 MB
Format
Adobe PDF