Please use this identifier to cite or link to this item: https://doi.org/10.1122/1.4789444
Title: Dissipative particle dynamics modeling of low Reynolds number incompressible flows
Authors: Mai-Duy, N.
Pan, D.
Phan-Thien, N. 
Khoo, B.C. 
Issue Date: Mar-2013
Citation: Mai-Duy, N., Pan, D., Phan-Thien, N., Khoo, B.C. (2013-03). Dissipative particle dynamics modeling of low Reynolds number incompressible flows. Journal of Rheology 57 (2) : 585-604. ScholarBank@NUS Repository. https://doi.org/10.1122/1.4789444
Abstract: This paper is concerned with the numerical modeling of a slow (creeping) flow using a particle-based simulation technique, known as dissipative particle dynamics (DPD), in which the particles' mass is allowed to approach zero to simultaneously achieve a high sonic speed, a low Reynolds number, and a high Schmidt number. This leads to a system of stiff stochastic differential equations, which are solved efficiently by an exponential time differencing (ETD) scheme. The ETD-DPD method is first tested in viscometric flows, where the particle mass is reduced down to 0.001. The method is then applied for the modeling of rigid spheres in a Newtonian fluid by means of two species of DPD particles, one representing the solvent particles and the other, the suspended particle. Calculations are carried out at particle mass of 0.01, with corresponding Mach number of 0.08, Reynolds number of 0.05, and Schmidt number of 6.0 × 103. Stokes results are used to determine the DPD parameters for the solvent-sphere interaction forces. The method obeys equipartition and yields smooth flows around the sphere with quite uniform far-field velocities. © 2013 The Society of Rheology.
Source Title: Journal of Rheology
URI: http://scholarbank.nus.edu.sg/handle/10635/85014
ISSN: 01486055
DOI: 10.1122/1.4789444
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

21
checked on Dec 4, 2019

WEB OF SCIENCETM
Citations

20
checked on Dec 4, 2019

Page view(s)

31
checked on Nov 30, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.