4D synchrotron microtomography and pore-network modelling for direct in situ capillary flow visualization in 3D printed microfluidic channels

Correction for ‘4D synchrotron microtomography and pore-network modelling for direct in situ capillary flow visualization in 3D printed microfluidic channels’ by Agnese Piovesan et al., Lab Chip, 2020, 20, 2403–2411, DOI: 10.1039/D0LC00227E.

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Pore Network Modelling and in Situ Imaging to Investigate Transport in Polymer Electrolyte Membrane Fuel Cells and Electrolyzers

Proceedings of the 4th International Conference of Fluid Flow, Heat and Mass Transfer (FFHMT'17) ◽

10.11159/ffhmt17.1 ◽

2017 ◽

Author(s):

Aimy Bazylak

Keyword(s):

Fuel Cells ◽

Polymer Electrolyte ◽

Polymer Electrolyte Membrane ◽

Pore Network ◽

Network Modelling ◽

Electrolyte Membrane ◽

Pore Network Modelling ◽

In Situ Imaging

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Pore network modelling of fluid flow in tight formations considering boundary layer effect and media deformation

Journal of Petroleum Science and Engineering ◽

10.1016/j.petrol.2019.05.072 ◽

2019 ◽

Vol 180 ◽

pp. 643-659 ◽

Cited By ~ 6

Author(s):

Mingqiang Chen ◽

Linsong Cheng ◽

Xiukun Wang ◽

Chaohui Lyu ◽

Renyi Cao

Keyword(s):

Boundary Layer ◽

Fluid Flow ◽

Pore Network ◽

Boundary Layer Effect ◽

Network Modelling ◽

Pore Network Modelling ◽

Layer Effect ◽

Tight Formations

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Pore network modelling to determine the transport properties in presence of a reactive fluid: From pore to reservoir scale

Advances in Water Resources ◽

10.1016/j.advwatres.2012.10.004 ◽

2013 ◽

Vol 53 ◽

pp. 87-100 ◽

Cited By ~ 46

Author(s):

Clément Varloteaux ◽

Samir Békri ◽

Pierre M. Adler

Keyword(s):

Transport Properties ◽

Pore Network ◽

Network Modelling ◽

Reactive Fluid ◽

Pore Network Modelling

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Absorption Properties of Coatings: A Selected Overview of Absorption Criteria Derived from Recent Pore Network Modelling

Journal of Dispersion Science and Technology ◽

10.1081/dis-200025737 ◽

2005 ◽

Vol 25 (4) ◽

pp. 389-408 ◽

Cited By ~ 3

Author(s):

P. A. C. Gane

Keyword(s):

Pore Network ◽

Properties Of Coatings ◽

Absorption Properties ◽

Network Modelling ◽

Pore Network Modelling

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Pore network modelling of two-phase flow in porous rock: the effect of correlated heterogeneity

Advances in Water Resources ◽

10.1016/s0309-1708(00)00057-9 ◽

2001 ◽

Vol 24 (3-4) ◽

pp. 257-277 ◽

Cited By ~ 104

Author(s):

Mark A Knackstedt ◽

Adrian P Sheppard ◽

Muhammad Sahimi

Keyword(s):

Two Phase Flow ◽

Pore Network ◽

Phase Flow ◽

Porous Rock ◽

Network Modelling ◽

Two Phase ◽

Pore Network Modelling

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The Pore-network Modelling of the Infiltration Experiments Performed on Unsaturated Coarse Sands

10.5194/egusphere-egu21-14147 ◽

2021 ◽

Author(s):

Tomáš Princ ◽

Michal Snehota

Keyword(s):

Hydraulic Conductivity ◽

Network Model ◽

Pore Network ◽

Pore Network Model ◽

Air Bubbles ◽

Network Modelling ◽

Air Content ◽

Pore Network Modelling ◽

X Ray Computed ◽

Entrapped Air

The research focused on the simulation of the previous experiment described by Princ et al. (2020). The relationship between entrapped air content (&#969;) and the corresponding satiated hydraulic conductivity (K) was investigated for two coarse sands, in the experiment. Additionally the amount and distribution of air bubbles were quantified by X-ray computed tomography.The pore-network model based on OpenPNM platform (Gostick et al. 2016) was used to attempt simulation of a redistribution of the air bubbles after infiltration. Satiated hydraulic conductivity was determined to obtain the K(&#969;) relationship. The results from pore-network model were compared with the results from experiments.Gostick et al. (2016). Computing in Science & Engineering. 18(4), p60-74.Princ et al. (2020). Water. 12(2), p1-19.

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