Pore-scale modeling of fluid transport in disordered fibrous materials

By K. Thompson. 2002

149 citations recorded by the source corpus.

Subfields: Computational Mechanics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/daead8de49ed4bc3fcc854a4a389ea17ad827a5e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

In Ocean Engineering

Citations in the corpus

Lattice‐Boltzmann simulation of two‐phase flow in porous media (2004, background): “While the majority of the pore-scale work has consisted of network models [e.g., Koplik and Lasseter, 1982; Blunt and King, 1991; Oren and Pinczewski, 1995; Dillard and Blunt, 2000; Man and Jing, 2000; Blunt, 2001; Hilpert et al., 2001, 2003; Thompson, 2002], a growing interest is evolving in the us”
Non-equilibrium effects in capillarity and interfacial area in two-phase flow: dynamic pore-network modelling (2010, methodology): “As Thompson (2002) and AlGharbi & Blunt (2005) found that the application of dynamic pore-network models for very small capillary numbers (relatively low flow velocities) was not numerically successful and severe instability problems were observed.”
OpenPNM: A Pore Network Modeling Package (2016, methodology): “Several subclassed versions of GenericGeometry are included in the package for convenience including the standard Stick_and_Ball as well as Voronoi which is combined with the Delaunay Network class to model fibrous materials [40], [41].”
Pore network modeling of fibrous gas diffusion layers for polymer electrolyte membrane fuel cells (2007, methodology): “This is the first attempt to deploy pore network modeling for the study of the gas diffusion layer of a PEMFC, although Thompson [19] has applied a pore network modeling approach to conventional paper.”
Versatile and efficient pore network extraction method using marker-based watershed segmentation. (2017, methodology): “Taken together, this means that PNMs can be used to study complex multiphase flow problems in large domains, such as entire catalyst pellets [19], electrodes [20], and paper [21].”