Pore network modeling of fibrous porous media of uniform and gradient porosity

Huang, Xiang; He, Yinwu; Zhou, Wei; Deng, Daxiang; Zhao, Yanwei

doi:10.1016/j.powtec.2018.11.022

Cited by 21 publications

(6 citation statements)

References 29 publications

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“…For implementation details of the invasion percolation algorithm, readers can refer to [14]. We can see in Figure 9 that for each porosity, the sharp increasing region of curves matches well, with some deviation at the higher saturation section, and overall good agreements are achieved.…”

Section: Validation Of Stochastic Networkmentioning

confidence: 63%

“…The reduction of coordination number is conducted through choosing a threshold value of the hydraulic conductance of the throat, throats of conductive values less than the threshold one only have little impact on the transport property can be removed. The hydraulic conductance g (Equation ( 1)) [14] of a cylindrical shaped throat is defined to be proportional to the fourth power of the throat diameter D t and inversely proportional to the throat length L t . µ is the viscosity of the fluid.…”

Section: Original Network Simplification Filter Throat Using a Threshold Conductive Valuementioning

confidence: 99%

“…The permeability value is obtained using Darcy's law with the pressure of each pore in the network obtained according to mass conservation. For implementation details, readers can refer to [14]. Figure 9 shows that the stochastic permeability values tend to be underestimated as the porosity increases, compared to the original ones.…”

Section: Validation Of Stochastic Networkmentioning

confidence: 99%

“…Fortunately, we can apply pore networking as an alternate. Pore network modeling [14] is a kind of pore-scale model that accounts for the true geometrical heterogeneity but simplified geometrical details of the porous material at the pore scale. Despite the simplification, its validation is testified through a comparison with the Lattice Boltzmann method in our earlier efforts [15,16].…”

Section: Introductionmentioning

confidence: 99%

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The Impacts of Surface Microchannels on the Transport Properties of Porous Fibrous Media Using Stochastic Pore Network Modeling

et al. 2021

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A stochastic pore network modeling method with tailored structures is proposed to investigate the impacts of surface microchannels on the transport properties of porous fibrous media. Firstly, we simplify the original pore network extracted from the 3D images. Secondly, a repeat sampling strategy is applied during the stochastic modeling of the porous structure at the macroscale while honoring the structural property of the original network. Thirdly, the microchannel is added as a spherical chain and replaces the overlapped elements of the original network. Finally, we verify our model via a comparison of the structure and flow properties. The results show that the microchannel increases the permeability of flow both in the directions parallel and vertical to the microchannel direction. The microchannel plays as the highway for the pass of reactants while the rest of the smaller pore size provides higher resistance for better catalyst support, and the propagation path in the network with microchannels is more even and predictable. This work indicates that our modeling framework is a promising methodology for the design optimization of cross-scale porous structures.

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Section: Validation Of Stochastic Networkmentioning

confidence: 63%

Section: Original Network Simplification Filter Throat Using a Threshold Conductive Valuementioning

confidence: 99%

Section: Validation Of Stochastic Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Impacts of Surface Microchannels on the Transport Properties of Porous Fibrous Media Using Stochastic Pore Network Modeling

et al. 2021

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“…A watershed-derived pore network extraction based on open-source software “imorph” was applied [ 37 ]. Figure 3 shows the extracted pore network inside the reconstructed 3D fiber system.…”

Section: Methodsmentioning

confidence: 99%

Effective Diffusion in Fibrous Porous Media: A Comparison Study between Lattice Boltzmann and Pore Network Modeling Methods

2021

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The understanding of the correlation between a pore-scale structure and its coupled diffusion transport property is crucial in the virtual design and performance optimization of porous fibrous material for various energy applications. Two most common and widely employed pore-scale modeling techniques are the lattice Boltzmann method (LBM) and the pore network modeling (PNM). However, little attention has been paid to the direct comparison between these two methods. To this end, stochastic porous fibrous structures are reconstructed reflecting the structural properties of the fibrous porous material on a statistical level with structural properties obtained from X-ray computed microtomography. Diffusion simulation through the porous phase was subsequently conducted using LBM of D3Q7 lattice and topological equivalent PNM derived from the watershed method, respectively. It is detected that the effective diffusion coefficients between these two methods are in good agreement when the throat radius in the pore network is estimated using the cross-section area equivalent radius. Like most literature, the diffusivity in the in-plane (IP) direction is larger than in the through-plane (TP) direction due to the laid fiber arrangement, but the values are very close. Besides, tortuosity was evaluated from both geometry and transport measurements. Tortuosity values deduced from both methods are in line with the anisotropy of the diffusion coefficients.

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