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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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Published in: | Annual review of chemical and biomolecular engineering 2018-06, Vol.9 (1), p.61-81 |
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container_title | Annual review of chemical and biomolecular engineering |
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creator | Sundaresan, Sankaran Ozel, Ali Kolehmainen, Jari |
description | 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. |
doi_str_mv | 10.1146/annurev-chembioeng-060817-084025 |
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source | Annual Reviews Open Access |
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 |
title | Toward Constitutive Models for Momentum, Species, and Energy Transport in Gas-Particle Flows |
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