Spray flow-network flow transition of binary Lennard-Jones particle system
KAUST Grant NumberKUK-I1-005-04
Permanent link to this recordhttp://hdl.handle.net/10754/599699
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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.
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.
SponsorsThis 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.