Toward Constitutive Models for Momentum, Species, and Energy Transport in Gas-Particle Flows

As multiscale structures are inherent in multiphase flows, constitutive models employed in conjunction with transport equations for momentum, species, and energy are scale dependent. We suggest that this scale dependency can be better quantified through deep learning techniques and formulation of tr...

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Bibliographic Details
Published in:Annual review of chemical and biomolecular engineering 2018-06, Vol.9 (1), p.61-81
Main Authors: Sundaresan, Sankaran, Ozel, Ali, Kolehmainen, Jari
Format: Article
Language:English
Subjects:
coarse-graining
Commercialization
Computer simulation
Constitutive models
Dependence
Energy
fluidization
gas-particle flow
Liquid bridges
Machine learning
Momentum transfer
Multiscale analysis
multiscale modeling
New technology
Species
Transport equations
triboelectrification
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Summary:As multiscale structures are inherent in multiphase flows, constitutive models employed in conjunction with transport equations for momentum, species, and energy are scale dependent. We suggest that this scale dependency can be better quantified through deep learning techniques and formulation of transport equations for additional quantities such as drift velocity and analogies for species, energy, and momentum transfer. How one should incorporate interparticle forces, which arise through van der Waals interaction, dynamic liquid bridges between wet particles, and tribocharging, in multiscale models warrants further study. Development of multiscale models that account for all the known interactions would improve confidence in the use of simulations to explore design options, decrease the number of pilot-scale experiments, and accelerate commercialization of new technologies.
ISSN:1947-5438
1947-5446
DOI:10.1146/annurev-chembioeng-060817-084025