Título

Effect of the agglomerate geometry on the effective electrical conductivity of a porous electrode

Autor

Abimael Rodríguez

Roger Pool

Jaime Ortegon Aguilar

Beatriz Escobar Morales

Romeli Barbosa

Nivel de Acceso

Acceso Abierto

Licencia

http://creativecommons.org/licenses/by-nc-nd/4.0

Referencia de datos

datasetDOI/https://doi.org/10.3390/membranes11050357

Materias

EFFECTIVE TRANSPORT COEFFICIENTS - (AUTORES) PERCOLATION - (AUTORES) POLYGONAL SYNTHETIC IMAGES - (AUTORES) STATISTICAL DESCRIPTORS - (AUTORES) INGENIERÍA Y TECNOLOGÍA - (CTI) CIENCIAS TECNOLÓGICAS - (CTI) TECNOLOGÍA ENERGÉTICA - (CTI) ENERGÍA - (CTI) ENERGÍA - (CTI)

Resumen o descripción

The study of the microstructure of random heterogeneous materials, related to an electrochemical device, is relevant because their effective macroscopic properties, e.g., electrical or proton conductivity, are a function of their effective transport coefficients (ETC). The magnitude of ETC depends on the distribution and properties of the material phase. In this work, an algorithm is developed to generate stochastic two-phase (binary) image configurations with multiple geometries and polydispersed particle sizes. The recognizable geometry in the images is represented by the white phase dispersed and characterized by statistical descriptors (two-point and line-path correlation functions). Percolation is obtained for the geometries by identifying an infinite cluster to guarantee the connection between the edges of the microstructures. Finally, the finite volume method is used to determine the ETC. Agglomerate phase results show that the geometry with the highest local current distribution is the triangular geometry. In the matrix phase, the most significant results are obtained by circular geometry, while the lowest is obtained by the 3-sided polygon. The proposed methodology allows to establish criteria based on percolation and surface fraction to assure effective electrical conduction according to their geometric distribution; results provide an insight for the microstructure development with high projection to be used to improve the electrode of a Membrane Electrode Assembly (MEA).

Fecha de publicación

2021

Tipo de publicación

Artículo

Versión de la publicación

Versión publicada

Recurso de información

http://cicy.repositorioinstitucional.mx/jspui/handle/1003/2057

Formato

application/pdf

Fuente

Membranes, 11(5), 357, 2021.

Idioma

Inglés

Relación

&

Barbosa, R. (2021). Effect of the Agglomerate Geometry on the Effective Electrical Conductivity of a Porous Electrode. Membranes, 11(5), 357.

Sugerencia de citación

Rodriguez, A., Pool, R., Ortegon, J., Escobar, B.,

Repositorio Orígen

Repositorio Institucional CICY

Descargas

135