TY - JOUR
ID - 21042
TI - Improvement of dissipative particle dynamics method by taking into account the particle size
JO - Scientia Iranica
JA - SCI
LA - en
SN - 1026-3098
AU - Yaghoubi, S.
AU - Shirani, E.
AU - Pishevar, A.R.
AD - Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
AD - Department of Mechanical Engineering, Foolad Institute of Technology, Fooladshahr, Isfahan, P.O. Box 84915651, Iran.
AD - Center of Excellence in Energy Conversion, Department of Mechanical Engineering, Isfahan University of Technology, Isfahan,
P.O. Box 8415683111, Iran.
Y1 - 2019
PY - 2019
VL - 26
IS - 3
SP - 1438
EP - 1445
KW - Dissipative Particle Dynamics
KW - Low-Dimensional model
KW - Low Reynolds number
KW - Stokes-Einstein equation
DO - 10.24200/sci.2018.21042
N2 - In this paper, flow past a single Dissipative Particle Dynamics (DPD) particle with low Reynolds number is investigated and it is inquired that whether a single DPD particle immersed in a fluid, has an intrinsic size. Then a minimum length scale is determined such that the hydrodynamic behavior based on standard DPD formulation is modeled correctly. Almost all of the previous studies assume the DPD particles as point centers of repulsion with no intrinsic size. Hence to prescribe the size of a simulating sphere, a structure of frozen DPD particles is created. In this paper two effective radii, Stokes-Einstein radius and a radius based on the Stokes law, for DPD particles are introduced. For small Reynolds numbers; it is proved that the two radii approach each other. Finally in spite of the typical simulations which assume DPD particles as point centers of repulsion, it is concluded that each of the individual DPD particles interact with other particles as a sphere with non-zero radius. It results the reduction of the required number of particles and eventuates more economical simulations. Moreover contemplating the radius of the particles is necessary for the new Low-Dimensional model which is derived based on the DPD method.
UR - https://scientiairanica.sharif.edu/article_21042.html
L1 - https://scientiairanica.sharif.edu/article_21042_85590ec47d2be5b0b396169b10e9cc7a.pdf
ER -