Abstract
In the present work, dissipative particle dynamics (DPD) simulation of simple flows is studied based on coarse-graining parameter. Reference scales of DPD are expressed in terms of physical units and DPD parameters and equations are expressed in terms of Reynolds number and apparent Peclet number. DPD parameters for a given coarse-graining are calculated by matching the density and viscosity of water and Reynolds number of the flow. The formulation is applied to water flow in microchannels of height 5 and 10 μm and tested for a wide range of coarse-graining parameter varying from 107 to 109. The results are in a good agreement with the continuum formulation and simulated the correct hydrodynamics of water flow in microchannels. By inspecting the microscopic detail of the interaction between the DPD particles, it is found that diffusivity is low for high coarse-graining parameter, which results in higher values of Schmidt number. Parameters are tested within the continuum assumption. It is shown that correct Schmidt number can be achieved using small coarse-graining parameter. Also, it is observed that low diffusivity or high Schmidt number does not affect the hydrodynamics of water.
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Abbreviations
- D :
-
Diffusivity
- D h :
-
Hydraulic diameter
- f :
-
Force
- H :
-
Height of the channel
- k B :
-
Boltzmann constant
- L :
-
Length of the channel
- m DPD :
-
Mass of a DPD particle
- n :
-
DPD number density
- M y :
-
Number of cells in y-direction
- N DPD :
-
Total number of DPD particles
- N m :
-
Coarse-graining parameter
- N x :
-
Number of cells in x-direction
- Pe* :
-
Apparent Peclet number
- Re :
-
Reynolds number
- Re cell :
-
Reynolds number based on cutoff length
- r :
-
Distance
- r c :
-
Cut-off radius
- Sc :
-
Schmidt number
- T :
-
Temperature
- t :
-
Time
- u avg :
-
Average velocity of the flow
- u T :
-
Thermal velocity of the particle
- v :
-
Velocity
- α:
-
Repulsive force parameter
- γ:
-
Dissipative force parameter
- μ :
-
Dynamic viscosity
- σ:
-
Random force parameter
- ζ :
-
Random number
- ρ DPD :
-
Number of DPD Particles in a unit cell
- τ w :
-
Shear stress at the wall
- ν :
-
Kinematic viscosity
- ω C, ω D, ω R :
-
Weight functions
References
Allen MP, Tildesley DJ (1987) Computer simulations of liquids. Clarendon Press, Oxford
Backer JA, Lowe CP, Hoefsloot HCJ, Iedema PD (2005) Poiseuille flow to measure the viscosity of particle model fluids. J Chem Phys 122:154503
Boek ES, Coveney PV, Lekkerkerker HNW, Schoot PVD (1997) Simulating the rheology of dense colloidal suspensions using dissipative particle dynamics. Phys Rev E 55(3):3124–3133
Español P, Warren P (1995) Statistical mechanics of dissipative particle dynamics. Europhys Lett 30(4):191–196
Fan XJ, Nhan PT, Ng TY, Wu XH, Xu D (2003) Microchannel flow of a macromolecular suspension. Phys Fluids 15(1):11–21
Flekkøy EG, Coveney PV, Fabritiis GD (2000) Foundation of dissipative particle dynamics. Phys Rev E 62(2):2140–2157
Groot RD, Rabone KL (2001) Mesoscopic simulation of cell membrane damage, morphology change and rupture by nonionic surfactants. Biophys J 81:725–736
Groot RD, Warren PB (1997) Dissipative particle dynamics: bridging the gap between atomic and mesoscopic simulation. J Chem Phys 107(11):4423–4435
Hoogerbrugge PJ, Koelman JMVA (1992) Simulating microscopic hydrodynamic phenomena with dissipative particle dynamics. Europhys Lett 19(3):155–160
Jiang W, Huang J, Wang Y, Laradji M (2007) Hydrodynamic interaction in polymer solutions simulated with dissipative particle dynamics. J Chem Phys 126:044901
Keaveny EE, Pivkin IV, Maxey M, Karniadakis GE (2005) A comparative study between dissipative particle dynamics and molecular dynamics for simple- and complex-geometry flows. J Chem Phys 123:104107
Kim JM, Phillips RJ (2004) Dissipative particle dynamics simulation of flow around spheres and cylinders at finite Reynolds numbers. Chem Eng Sci 59:4155–4168
Koelman JMVA, Hoogerbrugge PJ (1993) Dynamic simulation of hard-sphere suspensions under steady shear. Europhys Lett 21(3):363–368
Liu M, Meakin P, Huang H (2007) Dissipative particle dynamics simulation of multiphase fluid flow in microchannels and microchannel networks. Phys Fluids 19:033302
Lowe CP (1999) An alternative approach to dissipative particle dynamics. Europhys Lett 47:145
Marsh CA (1998) Theoretical aspect of dissipative particle dynamics. Ph.D. thesis, University of Oxford
Marsh CA, Backx G, Ernst M (1997) Static and dynamic properties of dissipative particle dynamics. Phys Rev E 55(2):1676–1691
Nikunen P, Karttunen M, Vattulainen I (2003) How would you integrate the equations of motion in dissipative particle dynamic simulations? Comput Phys Commun 153:407–423
Peters EAJF (2004) Elimination of time step effects in DPD. Europhys lett 66:311–317
Pivkin IV, Karniadakis GE (2005) A new method to impose no-slip boundary conditions in dissipative particle dynamics. J Comp phys 207:114–128
Pivkin IV, Karniadakis GE (2006) Controlling density fluctuations in wall bounded dissipative particle dynamics Systems. Phys Rev Lett 96:206001
Rapaport DC (2004) The art of molecular dynamics simulation. Cambridge University Press, Cambridge
Revenga M, Zuñiga I, Español P (1999) Boundary conditions in dissipative particle dynamics. Comput Phys Commun 121–122:309–311
Symeonidis V, Karniadakis GE, Caswell B (2006) Schmidt number effects in dissipative particle dynamics simulation of polymers. J Chem Phys 125:184902
Symeonidis V, Karniadakis GE, Caswell B (2005) Dissipative particle dynamics simulations of polymer chains: scaling laws and shearing response compared to DNA experiments. Phys Rev Lett 95:076001
Visser DC, Hoefsloot HCJ, Iedema PD (2006) Modelling multi-viscosity systems with dissipative particle dynamics. J Comp Phys 214:491–504
Acknowledgments
This work is supported by the National Science Foundation grant (NSF-OISE-0530203). The third author would like to thank Arab Fund Fellowship Program for supporting his research stay at URI.
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Kumar, A., Asako, Y., Abu-Nada, E. et al. From dissipative particle dynamics scales to physical scales: a coarse-graining study for water flow in microchannel. Microfluid Nanofluid 7, 467 (2009). https://doi.org/10.1007/s10404-008-0398-x
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DOI: https://doi.org/10.1007/s10404-008-0398-x