A hybrid molecular-continuum simulation method for incompressible flows in micro/nanofluidic networks

We present a hybrid molecular-continuum simulation method for modelling nano- and micro-flows in network-type systems. In these types of problem, a full molecular dynamics (MD) description of the macroscopic flow behaviour would be computationally intractable, or at least too expensive to be practical for engineering design purposes. Systems that exhibit multiscale traits, such as this, can instead be solved using a hybrid approach that distinguishes the problem into macroscopic and microscopic dynamics, modelled by their respective solvers. The technique presented in this study is an extension and addition to a hybrid method developed by Borg et al. (J Comput Phys 233:400–413, 2013) for high-aspect-ratio channel geometries, known as the internal-flow multiscale method (IMM). Computational savings are obtained by replacing long channels in the network, which are highly scale-separated, by much smaller, but representative, MD simulations, without a substantial loss of accuracy. On the other hand, junction components do not exhibit this length-scale separation, and so must be simulated in their entirety using MD. The current technique combines all network elements (junctions and channels) together in a coupled simulation using continuum conservation laws. For the case of steady, isothermal, incompressible, low-speed flows, we use the conservation of mass and momentum flux equations to derive a set of molecular-continuum constraints. An algorithm is presented here that computes at each iteration the new constraints on the pressure differences to be applied over individual MD micro-elements (channels and junctions), successively moving closer to macroscopic mass and momentum conservation. We show that hybrid simulations of some example network cases converge quickly, in only a few iterations, and compare very well to the corresponding full MD results, which are taken as the most accurate solutions. Major computational savings can be afforded by the IMM-type approximation in the channel components, but for steady-state solutions, even greater savings are possible. This is because the micro-elements are coupled to a steady-state continuum conservation expression, which greatly speeds up the relaxation of individual micro-components to steady conditions as compared to that of a full MD simulation. Unsteady problems with high temporal scale separation can also be simulated, but general transient problems are beyond the capabilities of the current technique.

[1]  Mohamed Gad-el-Hak,et al.  MEMS : Introduction and Fundamentals , 2005 .

[2]  K. Schulten,et al.  Theory and simulation of water permeation in aquaporin-1. , 2004, Biophysical journal.

[3]  J. Reese,et al.  Molecular dynamics in arbitrary geometries: Parallel evaluation of pair forces , 2008 .

[4]  Max L. Berkowitz,et al.  Isothermal compressibility of SPC/E water , 1990 .

[5]  N. Hadjiconstantinou Regular Article: Hybrid Atomistic–Continuum Formulations and the Moving Contact-Line Problem , 1999 .

[6]  A. Mosyak,et al.  Fluid Flow, Heat Transfer and Boiling in Micro-Channels , 2008 .

[7]  Billy D. Todd,et al.  DEPARTURE FROM NAVIER-STOKES HYDRODYNAMICS IN CONFINED LIQUIDS , 1997 .

[8]  A. Patera,et al.  Heterogeneous Atomistic-Continuum Representations for Dense Fluid Systems , 1997 .

[9]  E. Weinan,et al.  Heterogeneous multiscale method for the modeling of complex fluids and micro-fluidics , 2005 .

[10]  Anthony T. Patera,et al.  Heterogeneous Atomistic-Continuum Methods for Dense Fluid Systems , 1997 .

[11]  K. Schulten,et al.  Pressure-induced water transport in membrane channels studied by molecular dynamics. , 2002, Biophysical journal.

[12]  Hisashi Okumura,et al.  Comparisons between molecular dynamics and hydrodynamics treatment of nonstationary thermal processes in a liquid. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  Yury Gogotsi,et al.  Review: static and dynamic behavior of liquids inside carbon nanotubes , 2008 .

[14]  H. Berendsen,et al.  Molecular dynamics with coupling to an external bath , 1984 .

[15]  N. G. Hadjiconstantinou Discussion of recent developments in hybrid atomistic-continuum methods for multiscale hydrodynamics , 2005 .

[16]  D. Drikakis,et al.  Filtering carbon dioxide through carbon nanotubes , 2011 .

[17]  Billy D. Todd,et al.  Poiseuille flow of molecular fluids , 1997 .

[18]  P. Nelson,et al.  Theory of high-force DNA stretching and overstretching. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[19]  Duncan A. Lockerby,et al.  Water transport through (7,7) carbon nanotubes of different lengths using molecular dynamics , 2011, Microfluidics and Nanofluidics.

[20]  Banavar,et al.  Molecular dynamics of Poiseuille flow and moving contact lines. , 1988, Physical review letters.

[21]  Billy D. Todd,et al.  Computer simulation of simple and complex atomistic fluids by nonequilibrium molecular dynamics techniques , 2001 .

[22]  Hai-Lung Tsai,et al.  A method to generate pressure gradients for molecular simulation of pressure-driven flows in nanochannels , 2012 .

[23]  Geri Wagner,et al.  Coupling molecular dynamics and continuum dynamics , 2002 .

[24]  Hai Jiang,et al.  Microfluidic whole-blood immunoassays , 2011 .

[25]  Joel Koplik,et al.  Continuum Deductions from Molecular Hydrodynamics , 1997 .

[26]  J. Reese,et al.  Controllers for imposing continuum-to-molecular boundary conditions in arbitrary fluid flow geometries , 2010 .

[27]  M. Karplus,et al.  Deformable stochastic boundaries in molecular dynamics , 1983 .

[28]  Nhan Phan-Thien,et al.  Molecular dynamics simulation of a liquid in a complex nano channel flow , 2002 .

[29]  E Weinan,et al.  A general strategy for designing seamless multiscale methods , 2009, J. Comput. Phys..

[30]  Duncan A. Lockerby,et al.  A multiscale method for micro/nano flows of high aspect ratio , 2013, J. Comput. Phys..

[31]  Keith E. Gubbins,et al.  Poiseuille flow of Lennard-Jones fluids in narrow slit pores , 2000 .

[32]  Xiaobo Nie,et al.  A continuum and molecular dynamics hybrid method for micro- and nano-fluid flow , 2004, Journal of Fluid Mechanics.

[33]  J. Kirkwood,et al.  The Statistical Mechanical Theory of Transport Processes. IV. The Equations of Hydrodynamics , 1950 .

[34]  Duncan A. Lockerby,et al.  Time-step coupling for hybrid simulations of multiscale flows , 2013, J. Comput. Phys..

[35]  D. C. Rapaport,et al.  The Art of Molecular Dynamics Simulation , 1997 .

[36]  Edward A. Mason,et al.  Compressibility of liquids: Theoretical basis for a century of empiricism , 1991 .

[37]  J. Kirkwood The Statistical Mechanical Theory of Transport Processes I. General Theory , 1946 .

[38]  Dimitris Drikakis,et al.  A hybrid molecular continuum method using point wise coupling , 2012, Adv. Eng. Softw..

[39]  Abdulmajeed A. Mohamad,et al.  A review of the development of hybrid atomistic–continuum methods for dense fluids , 2010 .

[40]  E Weinan,et al.  Heterogeneous multiscale method: A general methodology for multiscale modeling , 2003 .

[41]  P. Koumoutsakos,et al.  Hybrid atomistic-continuum method for the simulation of dense fluid flows , 2005 .

[42]  Sun,et al.  Molecular-dynamics simulation of compressible fluid flow in two-dimensional channels. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[43]  J. Banavar,et al.  Computer Simulation of Liquids , 1988 .

[44]  O'Connell,et al.  Molecular dynamics-continuum hybrid computations: A tool for studying complex fluid flows. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[45]  P. Coveney,et al.  Continuum-particle hybrid coupling for mass, momentum, and energy transfers in unsteady fluid flow. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[46]  S. Troian,et al.  A general boundary condition for liquid flow at solid surfaces , 1997, Nature.

[47]  R. Yamamoto,et al.  A model for hybrid simulations of molecular dynamics and computational fluid dynamics , 2008, 0803.0099.