Micro Flows: Fundamentals and Simulation

By G. Karniadakis, A. Beskok, Mohamed Gad-el-Hak. 2002

647 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/af41ab1db0e7be18573aa30323b6edbbf9c792de

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In Biomedical Engineering

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Citations in the corpus

Simulation of copper–water nanofluid in a microchannel in slip flow regime using the lattice Boltzmann method with heat flux boundary condition (2015, neutral): “The accommodation coefficient value, r , is chosen appropriately for more accuracy [69,70].”
Microchannel flow in the slip regime: gas-kinetic BGK–Burnett solutions (2004, methodology): “Theoretically, as analysed by Ohwada (2002), the BGK–NS scheme is consistent with the railroad method derived from the gas-kinetic theory.”
Transport properties of liquid argon in krypton nanochannels: Anisotropy and non-homogeneity introduced by the solid walls (2009, background): “Relations 2 and 3 are derived for systems in equilibrium, but they can be used for non-equilibrium systems as well, provided one excludes the drift contribution from the flow [3].”
Rarefaction and compressibility effects on steady and transient gas flows in microchannels (2005, methodology): “ Karniadakis and Beskok (2002) developed the l Flow code, which resolves the Navier-Stokes equations by the spectral element method.”
Study of Simple Hydrodynamic Solutions with the Two-Relaxation-Times Lattice Boltzmann Scheme (2008, background): “g, in [2,35,36], to boundary layer continuum solutions [5, 26].”
Mass flow rate measurements in a microchannel, from hydrodynamic to near free molecular regimes (2007, background): “…different theoretical and numerical approaches have been used to solve the problem of gas flow through a long channel (or two parallel plates) under isothermal flow conditions for a wide Knudsen-number range (see Sharipov & Seleznev 1998; Karniadakis & Beskok 2002; Graur, Méolans & Zeitoun 2006).”
MICROCHANNEL HEAT SINKS: AN OVERVIEW OF THE STATE-OF-THE-ART (2004, background): “Beskok and Karniadakis [23, 24 ] developed a unified model to predict the mass flow rate and pressure distribution in channels, pipes, and ducts for Knudsen numbers, Kn, ranging from zero to infinity.”
Modeling the fluid dynamics of electrowetting on dielectric (EWOD) (2004, methodology): “Equations: We start by considering the Knudsen number of the EWOD device, which provides a measure of how accurate the continuum hypothesis is for a fluid system [32].”