Abstract
We present an atomistic–continuum hybrid method to investigate spreading dynamics of drops on solid surfaces. The Navier–Stokes equations are solved by the finite-volume method in a continuum domain comprised of the main body of the drop, and atomistic molecular dynamics simulations are used in a particle domain in the vicinity of the contact line. The spatial coupling between the continuum and particle domains is achieved through constrained dynamics of flux continuities in an overlap domain.
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Abbreviations
- A J :
-
Surface of volume V J
- C :
-
Continuum domain
- F i :
-
Force on atom i
- F ij :
-
Interaction force between two atoms i and j
- h :
-
Location of the drop interface
- I :
-
Number of continuum cells in the x-direction
- K :
-
Number of continuum cells in the y-direction
- L :
-
Axial length of the particle domain
- m :
-
Mass of a fluid atom
- n :
-
Normal vector
- N J :
-
Number of atoms in cell J
- p :
-
Pressure
- P :
-
Particle (molecular) domain
- r :
-
Distance between two liquid atoms
- R :
-
Equivalent cylindrical radius of the drop
- Re :
-
Reynolds number (≡ρ UR/μ)
- r ij :
-
Distance between atoms i and j
- S :
-
Number of particles to be removed or inserted
- t :
-
Time
- T :
-
Liquid temperature
- T :
-
Newtonian stress tensor
- u :
-
X-component of velocity
- U :
-
Characteristic velocity (≡γ/μ)
- u :
-
Velocity vector
- u ff :
-
Interaction potential between two liquid atoms
- u fs :
-
Solid−liquid interaction potential
- v :
-
Y-component of velocity
- v i :
-
Velocity of atom i
- V J :
-
Volume of cell J
- V x :
-
Cell volume
- x f :
-
Horizontal coordinate of a liquid atom
- X H :
-
Location of the P and C domain interface
- \(\ddot{{\bf x}_i}\) :
-
Acceleration of atom i
- y f :
-
Vertical coordinate of a liquid atom
- z f :
-
Axial coordinate of a liquid atom
- \(\varDelta t_c\) :
-
Macroscopic time step
- \(\varDelta t_p\) :
-
Microscopic time step
- ε ff :
-
Energy parameter of the Lennard-Jones potential
- ε fs :
-
Energy parameter of the solid–liquid potential
- γ :
-
Interfacial tension
- μ :
-
Liquid viscosity
- ρ :
-
Liquid density
- ρ s :
-
Solid density
- σ ff :
-
Length parameter of the Lennard-Jones potential
- σ fs :
-
Length parameter of the solid–liquid potential
- (ξ, η):
-
Coordinates in the computational domain
- ∇:
-
Gradient operator
- ∇ s :
-
Surface gradient operator
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Acknowledgments
This work was supported by Grant No. CBET 0730987 from the National Science Foundation.
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Appendix
Appendix
The computational domain is fixed as a unit square by using the transformation
The transformation metrics for this coordinate transformation are given by
where the subscript,“x” denotes differentiation with respect to x. The Navier–Stokes equations are transformed to the following equations:
Similarly, the boundary conditions are transformed as follows:
In these equations, the Reynolds number Re ≡ ρ UR/μ is defined based on the characteristic velocity U≡ γ/μ.
To solve these equations, the computational domain is divided into cells of size \(\varDelta\xi=1/I\) by \(\varDelta\eta=1/K\), with the coordinates of the cell centers given by \(\xi_i=(i-1/2)\varDelta\xi\) (i = 1, ..., I), and \(\eta_k=(k-1/2)\varDelta\eta (k=1,\ldots, K)\). A staggered computational grid is used wherein the pressure nodes are positioned at the center of the cells, the x- velocity nodes at the midpoint of the right faces, and the y- velocity nodes at the midpoint of the top faces. Spatial discretization of the transformed equations using a second-order accurate finite difference approximation results in a nonlinear coupled set of equations which were solved using the following time-splitting algorithm [34, 35]:
The transformed equations resulting from the splitting algorithm take the following form:
During each time step, the intermediate velocity field u * is calculated from Eq. (25), and used to obtain the pressure at the next time step through an iterative solution of Eq. (26). Subsequently, the new pressure distribution is used in Eq. (27) to advance the velocity field to the next time step. Once the new velocity field, u n+1, is determined, the interface position \(h(x,t+\varDelta t_c)\) is updated using the kinematic condition (Eq. (8)).
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Wu, H.F., Fichthorn, K.A. & Borhan, A. An atomistic–continuum hybrid scheme for numerical simulation of droplet spreading on a solid surface. Heat Mass Transfer 50, 351–361 (2014). https://doi.org/10.1007/s00231-013-1270-4
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DOI: https://doi.org/10.1007/s00231-013-1270-4