Spray flow-network flow transition of binary Lennard-Jones particle system

Handle URI:
http://hdl.handle.net/10754/599699
Title:
Spray flow-network flow transition of binary Lennard-Jones particle system
Authors:
Inaoka, Hajime; Yukawa, Satoshi; Ito, Nobuyasu
Abstract:
We simulate gas-liquid flows caused by rapid depressurization using a molecular dynamics model. The model consists of two types of Lennard-Jones particles, which we call liquid particles and gas particles. These two types of particles are distinguished by their mass and strength of interaction: a liquid particle has heavier mass and stronger interaction than a gas particle. By simulations with various initial number densities of these particles, we found that there is a transition from a spray flow to a network flow with an increase of the number density of the liquid particles. At the transition point, the size of the liquid droplets follows a power-law distribution, while it follows an exponential distribution when the number density of the liquid particles is lower than the critical value. The comparison between the transition of the model and that of models of percolation is discussed. The change of the average droplet size with the initial number density of the gas particles is also presented. © 2010 Elsevier B.V. All rights reserved.
Citation:
Inaoka H, Yukawa S, Ito N (2010) Spray flow-network flow transition of binary Lennard-Jones particle system. Physica A: Statistical Mechanics and its Applications 389: 2500–2509. Available: http://dx.doi.org/10.1016/j.physa.2010.02.035.
Publisher:
Elsevier BV
Journal:
Physica A: Statistical Mechanics and its Applications
KAUST Grant Number:
KUK-I1-005-04
Issue Date:
Jul-2010
DOI:
10.1016/j.physa.2010.02.035
Type:
Article
ISSN:
0378-4371
Sponsors:
This work has been partly supported by Award No. KUK-I1-005-04 made by King Abdullah University of Science and Technology (KAUST) and Grant-in-Aid for Young Scientists (B) No. 19740238 from the Ministry of Education, Culture, Sports, Science and Technology.
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Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorInaoka, Hajimeen
dc.contributor.authorYukawa, Satoshien
dc.contributor.authorIto, Nobuyasuen
dc.date.accessioned2016-02-28T06:07:49Zen
dc.date.available2016-02-28T06:07:49Zen
dc.date.issued2010-07en
dc.identifier.citationInaoka H, Yukawa S, Ito N (2010) Spray flow-network flow transition of binary Lennard-Jones particle system. Physica A: Statistical Mechanics and its Applications 389: 2500–2509. Available: http://dx.doi.org/10.1016/j.physa.2010.02.035.en
dc.identifier.issn0378-4371en
dc.identifier.doi10.1016/j.physa.2010.02.035en
dc.identifier.urihttp://hdl.handle.net/10754/599699en
dc.description.abstractWe simulate gas-liquid flows caused by rapid depressurization using a molecular dynamics model. The model consists of two types of Lennard-Jones particles, which we call liquid particles and gas particles. These two types of particles are distinguished by their mass and strength of interaction: a liquid particle has heavier mass and stronger interaction than a gas particle. By simulations with various initial number densities of these particles, we found that there is a transition from a spray flow to a network flow with an increase of the number density of the liquid particles. At the transition point, the size of the liquid droplets follows a power-law distribution, while it follows an exponential distribution when the number density of the liquid particles is lower than the critical value. The comparison between the transition of the model and that of models of percolation is discussed. The change of the average droplet size with the initial number density of the gas particles is also presented. © 2010 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipThis work has been partly supported by Award No. KUK-I1-005-04 made by King Abdullah University of Science and Technology (KAUST) and Grant-in-Aid for Young Scientists (B) No. 19740238 from the Ministry of Education, Culture, Sports, Science and Technology.en
dc.publisherElsevier BVen
dc.subjectGas-liquid flowen
dc.subjectLennard-Jones particle systemen
dc.subjectMolecular dynamics simulationen
dc.subjectSpray flowen
dc.titleSpray flow-network flow transition of binary Lennard-Jones particle systemen
dc.typeArticleen
dc.identifier.journalPhysica A: Statistical Mechanics and its Applicationsen
dc.contributor.institutionUniversity of Tokyo, Tokyo, Japanen
dc.contributor.institutionOsaka University, Suita, Japanen
kaust.grant.numberKUK-I1-005-04en
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