2016
DOI: 10.1038/srep25572
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Revisiting kinetic boundary conditions at the surface of fuel droplet hydrocarbons: An atomistic computational fluid dynamics simulation

Abstract: The role of boundary conditions at the interface for both Boltzmann equation and the set of Navier-Stokes equations have been suggested to be important for studying of multiphase flows such as evaporation/condensation process which doesn’t always obey the equilibrium conditions. Here we present aspects of transition-state theory (TST) alongside with kinetic gas theory (KGT) relevant to the study of quasi-equilibrium interfacial phenomena and the equilibrium gas phase processes, respectively. A two-state mathem… Show more

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Cited by 3 publications
(17 citation statements)
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(26 reference statements)
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“…One question raised was whether or not adding the interfacial layer using SAFT has an effect on the evaporation/condensation coefficient of n-dodecane. The answer is no, since SAFT, being a thermodynamics-based approach, cannot model properly transient processes such as internal activation dynamics effects [3].…”
Section: Mass Evaporation Coefficient and Quantum/statistical Mechanimentioning
confidence: 99%
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“…One question raised was whether or not adding the interfacial layer using SAFT has an effect on the evaporation/condensation coefficient of n-dodecane. The answer is no, since SAFT, being a thermodynamics-based approach, cannot model properly transient processes such as internal activation dynamics effects [3].…”
Section: Mass Evaporation Coefficient and Quantum/statistical Mechanimentioning
confidence: 99%
“…where ω i is the magnitude of the transition-state imaginary frequency (see References [3,4] for more detail). While CKGT describes the collision effects among surrounding gases, vapor molecules, clusters, and droplets, assuming those are in the thermodynamic equilibrium states, QTST presents some kinetic quasi-equilibrium phenomena at an atomic level in the vicinity of fuel droplets.…”
Section: Evaporation Rate Of Fuel Droplets and Hybrid Kinetics Methodsmentioning
confidence: 99%
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