Abstract
Carbon paper is commonly used to fabricate electrodes for batteries, and its morphology is crucial to the internal mass transport. In this work, geometric models of carbon paper are obtained by experimental and numerical reconstruction methods. The micromorphology of the carbon paper is obtained with a scanning electron microscope and an X-ray computed tomography scanner, and the binary slicing method is used in the experimental reconstruction method. Three different methods are used for numerical reconstruction, namely the layered 2D fibre, 3D fibre stacking and layered 3D fibre stacking methods. The structure and characteristic parameters of the carbon paper, such as pore size distribution, dimensionless specific surface area, effective diffusion coefficient and anisotropic coefficient, are statistically analysed for comparison. The dimensionless effective diffusion coefficients of Li+ in different directions in the electrolyte-filled carbon paper are obtained using lattice Boltzmann method. Results show that the internal structural features directly affect mass transport. The curves of the calculated effective diffusivity versus porosity are well fitted using a power function similar to Bruggeman equation within the porosity range of 0.66–0.86. The anisotropic coefficient is obtained from the effective diffusion coefficient in different directions.
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Data Availability
The datasets used or analysed during the current study are available from the corresponding author on reasonable request.
Code Availability
In this work, C# is used to program the code for calculation of pore size distribution, specific surface area and effective diffusion coefficient. The contour figure of diffusion process is displayed by Tecplot software.
Abbreviations
- C :
-
Concentration of Li+ (mol m3)
- C 0 :
-
Initial concentration of Li+ (mol m3)
- C in :
-
Concentration of Li+ inlet (mol m3)
- C out :
-
Concentration of Li+ outlet (mol m3)
- D 0 :
-
Diffusion coefficient of Li+ (m2 s−1)
- D eff :
-
Effective diffusion coefficient of Li+ in the porous medium (m2 s−1)
- f :
-
Anisotropic coefficient
- \(g_{i}^{\text{eq}}\) :
-
Equilibrium distribution function of Li+ diffusion
- g i :
-
Distribution function of Li+ diffusion
- α :
-
Bruggeman index
- ε :
-
Porosity of carbon paper
- τ :
-
Dimensionless relaxation factor
- \(\omega_{i}\) :
-
Weight coefficient in i directions
- A :
-
Layered two-dimensional fibre method
- B :
-
Three-dimensional fibre stacking method
- C:
-
Layered three-dimensional fibre stacking method
- EXP:
-
Experimental reconstruction method
- tp:
-
Through plane direction
- ip:
-
In-plane direction
References
Alpak, F.O., Gray, F., Saxena, N., Dietderich, J., Hofmann, R., Berg, S.C.: C: a distributed parallel multiple-relaxation-time lattice Boltzmann method on general-purpose graphics processing units for the rapid and scalable computation of absolute permeability from high-resolution 3D micro-CT images. Comput. Geosci. 22, 815–832 (2018)
Andersen, C.P., Hu, H., Qiu, G., Kalr, V., Sun, Y.: C: pore-scale transport resolved model incorporating cathode microstructure and peroxide growth in lithium-air batteries. J. Electrochem. Soc. 162(7), A1135–A1145 (2015)
Bruggeman, D.A.G.: C: the calculation of various physical constants of heterogeneous substances. I—the dielectric constants and conductivities of mixtures composed of isotropic substances. Ann. Phys. 24, 636–664 (1935)
Cartalade, A., Younsi, A., Plapp, M.: C: lattice Boltzmann simulations of 3D crystal growth: numerical schemes for a phase-field model with anti-trapping current. Comput. Math Appl. 71, 1784–1798 (2016)
Chai, Z.H., Huang, C.S., Shi, B.C., Guo, Z.L.: C: a comparative study on the lattice Boltzmann models for predicting effective diffusivity of porous media. Int. J. Heat Mass Transf. 98, 687–696 (2016)
Chen, L., Luan, H.B., He, Y.L., Tao, W.Q.: C: pore-scale flow and mass transport in gas diffusion layer of proton exchange membrane fuel cell with interdigitated flow fields. Int. J. Therm. Sci. 51, 132–144 (2012)
Chen, L., Zhang, L., Kang, Q.J., Viswanathan, H.S., Yao, J., Tao, W.Q.: C: nanoscale simulation of shale transport properties using the lattice Boltzmann method: permeability and diffusivity. Sci. Rep. 5, 8089 (2015)
Chen, L., He, Y.L., Tao, W.Q., Zelenay, P., Mukundan, R., Kang, Q.J.: C: pore-scale study of multiphase reactive transport in fibrous electrodes of vanadium redox flow batteries. Electrochim. Acta 248, 425–439 (2017)
Chen, S.Y., You, Z.P., Yang, S.L., Zhou, X.D.: C: prediction of the coefficient of permeability of asphalt mixtures using the lattice Boltzmann method. Constr. Build. Mater. 240, 117896 (2020)
Das, P.K., Li, X., Liu, Z.S.: C: effective transport coefficients in PEM fuel cell catalyst and gas diffusion layers: beyond Bruggeman approximation. Appl. Energy 87(9), 2785–2796 (2010)
Dong, Y.R., Kawagoe, Y., Itou, K., Kaku, H., Hanafusa, K., Shigematsu, T.: C: improved performance of Ti/Mn redox flow battery by thermally treated carbon paper electrodes. ECS Trans. 75(18), 27–35 (2017)
Ender, M., Joos, J., Carraro, T., Ivers-Tiffée, E.: C: three-dimensional reconstruction of a composite cathode for lithium-ion cells. Electrochem. Commun. 13(2), 166–168 (2011)
Ghanbarian, B., Cheng, P.: C: application of continuum percolation theory for modeling single and two phase characteristics of anisotropic carbon paper gas diffusion layers. J. Power Sour. 307, 613–623 (2016)
Gillam, J.E., Rafecas, M.: C: monte-Carlo simulations and image reconstruction for novel imaging scenarios in emission tomography. Nucl. Instrum. Methods Phys. Res., Sect. A 809(11), 76–88 (2016)
He, X.T., Guo, Y.Y., Li, M.: C: effective gas diffusion coefficient in fibrous materials by mesoscopic modeling. Int. J. Heat Mass Transf. 107, 736–746 (2017)
Hong, Q.S., Lu, H.M., Wang, J.R.: C: self-reduction synthesis of silver nanoparticles/carbon fiber paper air cathodes for improving Al-air battery performance. J. Electrochem. Soc. 164(7), A1425–A1430 (2017)
Hussain, M., Tian, E., Cao, T.F., Tao, W.Q.: C: pore-scale modeling of effective diffusion coefficient of building materials. Int. J. Heat Mass Transf. 90, 1266–1274 (2015)
Hutzenlaub, T., Thiele, S., Paust, N., Spotnitz, R., Zengerle, R., Walchshofer, C.: C: three-dimensional electrochemical Li-ion battery modelling featuring a focused ion-beam/scanning electron microscopy based three-phase reconstruction of a LiCoO2 cathode. Electrochim. Acta 115(1), 131–139 (2014)
Imanishi, N., Yamamoto, O.: C: perspectives and challenges of rechargeable lithium-air batteries. Mater. Today Adv. 4, 100031 (2019)
Inoue, G., Yokoyama, K.J., Ooyama, J.P., Terao, T., Tokunaga, T., Kubo, N., Kawase, M.: C: theoretical examination of effective oxygen diffusion coefficient and electrical conductivity of polymer electrolyte fuel cell porous components. J. Power Sour. 327, 610–621 (2016)
Jiang, Z.Y., Qu, Z.G., Zhou, L., Tao, W.Q.: C: a microscopic investigation of ion and electron transport in lithium-ion battery porous electrodes using the lattice Boltzmann method. Appl. Energy 194, 530–539 (2017)
Jithin, M., Das, M.K., De, A.: C: lattice Boltzmann simulation of lithium peroxide formation in lithium-oxygen battery. J. Electrochem. Energy Convers. Storage 8(13), 031003 (2016)
Keskin, R.S.O., Grigoriu, M.: C: a probability-based method for calculating effective diffusion coefficients of composite media. Probab. Eng. Mech. 25, 249–254 (2010)
Li, Y.D.: Cathode system and interface construction for solid-state lithium air battery. University of Science and Technology Beijing (Chinese) (2018)
Li, Z.Y., Zhang, X.X., Liu, Y.: C: pore-scale simulation of gas diffusion in unsaturated soil aggregates: accuracy of the dusty-gas model and the impact of saturation. Geoderma 303, 196–203 (2017)
Liang, H., Ping, C.: C: lattice Boltzmann simulations of anisotropic permeabilities in carbon paper gas diffusion layers. J. Power Sour. 186, 104–114 (2009)
Liu, J.W., Shin, S., Um, S.: C: comprehensive statistical analysis of heterogeneous transport characteristics in multifunctional porous gas diffusion layers using lattice Boltzmann method for fuel cell applications. Renew. Energy 139, 279–291 (2019)
Liu, T., Li, X.F., Xu, C., Zhang, H.C.: Activated carbon fiber paper based electrodes with high electrocatalytic activity for vanadium flow batteries with improved power density. ACS Appl. Mater. Interfaces. 9, 4626–4633 (2017)
Lu, Y.C., Xu, Z., Gasteiger, H.A., Chen, S., Hamad-Schifferli, K., Shao-Horn, Y.: C: platinum-gold nanoparticles: a highly active bifunctional electrocatalyst for rechargeable lithium-air batteries. J. Am. Chem. Soc. 132(35), 12170–12171 (2010)
Maheshwari, P.H., Mathur, R.B., Dhami, T.L.: C: the influence of the pore size and its distribution in a carbon paper electrode on the performance of a PEM Fuel cell. Electrochim. Acta 54, 655–659 (2008)
Molaeimanesh, G.R., Akbari, M.H.: C: a three-dimensional pore-scale model of the cathode electrode in polymer-electrolyte membrane fuel cell by lattice Boltzmann method. J. Power Sour. 258, 89–97 (2014)
Niu, X.D., Munekata, T., Hyodo, S.A., Suga, K.: C: an investigation of water-gas transport processes in the gas-diffusion-layer of a PEM fuel cell by a multiphase multiple-relaxation-time lattice Boltzmann model. J. Power Sour. 172(2), 542–552 (2007)
Odaya, S., Phillips, R.K., Sharma, Y., Bellerive, J., Phillion, A.B., Hoorfar, M.: C: x-ray tomographic analysis of porosity distributions in gas diffusion layers of proton exchange membrane fuel cells. Electrochim. Acta 152, 464–472 (2015)
Ostadi, H., Rama, P., Liu, Y., Chen, R., Zhang, X., Jiang, K.: C: 3D reconstruction of a gas diffusion layer and a microporous layer. J. Membr. Sci. 351, 69–74 (2010a)
Ostadi, H., Rama, P., Liu, Y., Chen, R., Zhang, X., Jiang, K.: C: nanotomography based study of gas diffusion layers. Microelectron. Eng. 87, 1640–1642 (2010b)
Rashapov, R.R., Gostick, J.T.: C: in-plane effective diffusivity in PEMFC gas diffusion layers. Transp. Porous Med. 115, 411–433 (2016)
Sakai, K., Iwamura, S., Sumida, R., Ogino, I., Mukai, S.R.: C: carbon paper with a high surface area prepared from carbon nanofibers obtained through the liquid pulse injection technique. ACS Omega 3, 691–697 (2018)
Shearing, P.R., Brandon, N.P., Gelb, J., Bradley, R., Withers, P.J., Marquis, A.J., Cooper, S., Harris, S.J.: C: multi length scale microstructural investigations of a commercially available Li-ion battery electrode. J. Electrochem. Soc. 159(7), A1023–A1027 (2012)
Shi, H., Zhao, C.Y., Wang, B.X.: C: modeling the thermal radiation properties of thermal barrier coatings based on a random generation algorithm. Ceram. Int. 42, 9752–9761 (2016)
Su, Y., Ng, T.N., Davidson, J.H.: C: a parallel non-dimensional lattice Boltzmann method for fluid flow and heat transfer with solid-liquid phase change International. J. Heat Mass Transf. 106, 503–517 (2017)
Sun, D.K., Xing, H., Dong, X.L.: C: an anisotropic lattice Boltzmann-Phase field scheme for numerical simulations of dendritic growth with melt convection. Int. J. Heat Mass Transf. 133, 1240–1250 (2019)
Tjaden, B., Cooper, S.J., Brett, D.J.L., Kramer, D., Shearing, P.R.: C: on the origin and application of the Bruggeman correlation for analysing transport phenomena in electrochemical systems. Curr. Opin. Chem. Eng. 12, 44–51 (2016)
Wang, S.X., Wang, Y.L.: C: investigation of the through-plane effective oxygen diffusivity in the porous media of PEM fuel cells: effects of the pore size distribution and water saturation distribution. Int. J. Heat Mass Transf. 98, 541–549 (2016)
Wang, F.Z., Li, X.L.: C: pore-scale simulations of porous electrodes of Li-O2 batteries at different saturation levels. Mater. Interfaces 10, 26222–26232 (2018)
Wang, M., Zhu, W.B.: C: pore-scale study of heterogeneous chemical reaction for ablation of carbon fibers using the lattice Boltzmann method. Int. J. Heat Mass Transf. 126, 1222–1239 (2018)
Wu, M., Cui, Y., Fu, Y.Z.: C: Li2S nanocrystals confined in free-standing carbon paper for high performance lithium-sulfur batteries. ACS Appl. Mater. Interfaces. 7, 21479–21486 (2015)
Yi, J., Liao, K.M., Zhang, C.F., Zhang, T., Li, F.J., Zhou, H.S.: C: Facile in situ preparation of graphitic–C3N4@carbon paper as an efficient metal-free cathode for nonaqueous Li-O2 battery. ACS Appl. Mater. Interfaces. 7, 10823–10827 (2015)
Yin, T., Lin, Z.Y., Su, L., Yuan, C.W., Fu, D.G.: C: preparation of vertically oriented TiO2 nanosheets modified carbon paper electrode and its enhancement to the performance of MFCs. ACS Appl. Mater. Interfaces. 7, 400–408 (2015)
Yin, Y.H., Torayev, A., Gaya, C., Mammeri, Y., Franco, A.A.: C: linking the performances of Li-O2 batteries to discharge rate and electrode and electrolyte properties through the nucleation mechanism of Li2O2. J. Phys. Chem. C 121, 19577–19585 (2017)
Yin, Y., Qu, Z.G., Zhang, J.F.: C: pore-scale prediction of the effective mass diffusivity of heterogeneous shale structure using the lattice Boltzmann method. Int. J. Heat Mass Transf. 133, 976–985 (2019)
Yiotis, A.G., Kainourgiakis, M.E., Charalambopoulou, G.C., Stubos, A.K.: C: microscale characterisation of stochastically reconstructed carbon fiber-based gas diffusion layers; effects of anisotropy and resin content. J. Power Sour. 320, 153–167 (2016)
Yoon, H.K., Kang, Q.J., Valocchi, A.J.: C: lattice Boltzmann-based approaches for pore-scale reactive transport. Rev. Miner. Geochem. 80, 393–431 (2015)
Zamel, N., Li, X.G., Shen, J.: C: correlation for the effective gas diffusion coefficient in carbon paper diffusion media. Energy Fuels 23, 6070–6078 (2009)
Zhang, D., Cai, Q., Taiwo, O.O., Yufit, V., Brandon, N.P., Gua, S.: C: the effect of wetting area in carbon paper electrode on the performance of vanadium redox flow batteries: a three-dimensional lattice Boltzmann study. Electrochim. Acta 283, 1806–1819 (2018)
Zhang, D., Forner-Cuenca, A., Taiwo, O., Yufit, V., Brushett, R., Brandon, N., Gu, S., Cai, Q.: C: understanding the role of the porous electrode microstructure in redox flow battery performance using an experimentally validated 3D pore-scale lattice Boltzmann model. J. Power Sour. 447, 227249 (2020)
Zhao, Y.L., Wang, Z.M.: C: prediction of apparent permeability of porous media based on a modified lattice Boltzmann method. J. Petrol. Sci. Eng. 174, 1261–1268 (2019)
Acknowledgements
This work was supported by the National Natural Science Foundation of China (No. 51676013).
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All authors contributed to the study conception and design. Material preparation, C# programming, data collection and analysis were performed by YG, XD and MS. The first draft of the manuscript was written by YG. Review and editing work is performed by YG and XL. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Gao, Y., Wen, Z., Deng, X. et al. Reconstruction of Carbon Papers and Analysis of Structural and Characteristic Parameters Through Lattice Boltzmann Method. Transp Porous Med 140, 643–666 (2021). https://doi.org/10.1007/s11242-020-01510-0
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DOI: https://doi.org/10.1007/s11242-020-01510-0