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

Hajime Inaoka, Satoshi Yukawa, Nobuyasu Ito

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.
Original languageEnglish (US)
Pages (from-to)2500-2509
Number of pages10
JournalPhysica A: Statistical Mechanics and its Applications
Volume389
Issue number13
DOIs
StatePublished - Jul 2010
Externally publishedYes

Fingerprint Dive into the research topics of 'Spray flow-network flow transition of binary Lennard-Jones particle system'. Together they form a unique fingerprint.

Cite this