3D reconstruction of a gas diffusion layer and a microporous layer

Ostadi, Hossein; Rama, Pratap; Liu, Y.; Chen, Rui; Zhang, Xiaoxian; Jiang, Kyle

doi:10.1016/j.memsci.2010.01.031

Cited by 171 publications

(113 citation statements)

References 31 publications

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“…Ostadi, Rama et al investigated in LB simulations on GDL structures which were obtained from nano-computed tomography. They characterized the structure according to geometric characteristics, anisotropy and effects of compression [41,42,21,43,44,45,46]. As in the macrohomogeneous approaches mentioned before also the simulations on the reconstructed microstructure show the evidence of the non-isotropic transport properties on the behavior of the mass transport on higher spatial scales.…”

Section: Introductionmentioning

confidence: 84%

3D analysis, modeling and simulation of transport processes in compressed fibrous microstructures, using the Lattice Boltzmann method

Froning

Brinkmann

Reimer

et al. 2013

Electrochimica Acta

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In this paper we combine a stochastic 3D microstructure model of a fiber based gas diffusion layer of polymer electrolyte fuel cells with a Lattice Boltzmann model for fluid transport. We focus on a simple approach of compressing the planar oriented virtual geometry of paper-type gas diffusion layer from Toray. Material parameters -permeability and tortuosity -are calculated from simulation of one phase, one component gas flow in stochastic geometries. We analyze the statistical spread of simulation results on ensembles of the virtual geometry, both uncompressed and compressed. The influence of the compression is discussed with regard to the Kozeny-Carman equation. The effective transport properties calculated from transport simulations in compressed gas diffusion layers agree well with a trend based on the Kozeny-Carman equation.

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Section: Introductionmentioning

confidence: 84%

3D analysis, modeling and simulation of transport processes in compressed fibrous microstructures, using the Lattice Boltzmann method

Froning

Brinkmann

Reimer

et al. 2013

Electrochimica Acta

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“…The resolution of the tomographic scan was not sufficient to resolve the nano-scale pores in the MPL. The MPL was assumed to have a porosity of 50% [90,92,93].…”

Section: Gdl Porosity Characterization By X-ray Micro-computed Tomogrmentioning

confidence: 99%

Liquid water saturation and oxygen transport resistance in polymer electrolyte membrane fuel cell gas diffusion layers

Muirhead

Banerjee

George

et al. 2018

Electrochimica Acta

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In this thesis, the relative humidity (RH) of the cathode reactant gas was investigated as a factor which influences gas diffusion layer (GDL) liquid water accumulation and mass transport-related efficiency losses over a range of operating current densities in a polymer electrolyte membrane (PEM) fuel cell. Limiting current measurements were used to characterize fuel cell oxygen transport resistance while simultaneous measurements of liquid water accumulation were conducted using synchrotron X-ray radiography. GDL porosity distributions were characterized with micro-computed tomography (μCT). The work presented here can be used by researchers to develop improved numerical models to predict GDL liquid water accumulation and to inform the design of next-generation GDL materials to mitigate mass transport-related efficiency losses. This work also contributes an extensive set of concurrent performance and liquid water visualization data to the PEM fuel cell field that can be used for validating multiphase transport models.iii

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“…One significant benefit of LBM is the ability to simulate flow in complex geometries. Using X-ray tomography [127] or focus ion beam scanning electron microscope (FIB-SEM) images [128], real electrode structures can be modeled in 3D and their transport properties evaluated. Recently, Danner, et al, presented a LBM model to predict the pressure-saturation parameters of BAEs in metal-air batteries [128].…”

Section: Bi-functional Air Electrode (Bae)mentioning

confidence: 99%

A Review of Model-Based Design Tools for Metal-Air Batteries

2018

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Abstract:The advent of large-scale renewable energy generation and electric mobility is driving a growing need for new electrochemical energy storage systems. Metal-air batteries, particularly zinc-air, are a promising technology that could help address this need. While experimental research is essential, it can also be expensive and time consuming. The utilization of well-developed theory-based models can improve researchers' understanding of complex electrochemical systems, guide development, and more efficiently utilize experimental resources. In this paper, we review the current state of metal-air batteries and the modeling methods that can be implemented to advance their development. Microscopic and macroscopic modeling methods are discussed with a focus on continuum modeling derived from non-equilibrium thermodynamics. An applied example of zinc-air battery engineering is presented.

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3D reconstruction of a gas diffusion layer and a microporous layer

Cited by 171 publications

References 31 publications

3D analysis, modeling and simulation of transport processes in compressed fibrous microstructures, using the Lattice Boltzmann method

3D analysis, modeling and simulation of transport processes in compressed fibrous microstructures, using the Lattice Boltzmann method

Liquid water saturation and oxygen transport resistance in polymer electrolyte membrane fuel cell gas diffusion layers

A Review of Model-Based Design Tools for Metal-Air Batteries

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