Effect of an image resolution change on the effective transport coefficient of heterogeneous materials

Electrochemical electrodes comprise multiple phenomena at different scales. Several works have tried to model such phenomena using statistical techniques. This paper proposes a novel process to work with reduced size images to reconstruct microstructures with the Simulated Annealing method. Later, using the Finite Volume Method, it is verified the effect of the image resolution on the effective transport coefficient (ETC). The method can be applied to synthetic images or images from the Scanning Electron Microscope. The first stage consists of obtaining the image of minimum size, which contains at least 98% of the statistical information of the original image, allowing an equivalent statistical study. The image size reduction was made by applying an iterative decimation over the image using the normalized coarseness to compare the amount of information contained at each step. Representative improvements, especially in processing time, are achieved by reducing the size of the reconstructed microstructures without affecting their statistical behavior. The process ends computing the conduction efficiency from the microstructures. The simulation results, obtained from two kinds of images from different materials, demonstrate the effectivity of the proposed approach. It is important to remark that the controlled decimation allows a reduction of the processor and memory use during the reconstruction and ETC computation of electrodes.

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Main Authors: ABIMAEL RODRIGUEZ SANCHEZ, Romeli Barbosa, ABRAHAM RIOS BAHENA, Jaime Ortegon Aguilar, Beatriz Escobar Morales, BEATRIZ GAYOSSO ARCOS, CARLOS COUDER CASTAÑEDA
Format: info:eu-repo/semantics/article biblioteca
Language:eng
Subjects:info:eu-repo/classification/Autores/DECIMATION, info:eu-repo/classification/Autores/EFFECTIVE TRANSPORT COEFFICIENT, info:eu-repo/classification/Autores/SIMULATED ANNEALING, info:eu-repo/classification/Autores/STATISTICAL DESCRIPTORS, info:eu-repo/classification/cti/7, info:eu-repo/classification/cti/33, info:eu-repo/classification/cti/3322, info:eu-repo/classification/cti/531205,
Online Access:http://cicy.repositorioinstitucional.mx/jspui/handle/1003/1719
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spelling dig-cicy-1003-17192020-09-29T15:53:23Z Effect of an image resolution change on the effective transport coefficient of heterogeneous materials ABIMAEL RODRIGUEZ SANCHEZ Romeli Barbosa ABRAHAM RIOS BAHENA Jaime Ortegon Aguilar Beatriz Escobar Morales BEATRIZ GAYOSSO ARCOS CARLOS COUDER CASTAÑEDA 2019 info:eu-repo/semantics/article Electrochemical electrodes comprise multiple phenomena at different scales. Several works have tried to model such phenomena using statistical techniques. This paper proposes a novel process to work with reduced size images to reconstruct microstructures with the Simulated Annealing method. Later, using the Finite Volume Method, it is verified the effect of the image resolution on the effective transport coefficient (ETC). The method can be applied to synthetic images or images from the Scanning Electron Microscope. The first stage consists of obtaining the image of minimum size, which contains at least 98% of the statistical information of the original image, allowing an equivalent statistical study. The image size reduction was made by applying an iterative decimation over the image using the normalized coarseness to compare the amount of information contained at each step. Representative improvements, especially in processing time, are achieved by reducing the size of the reconstructed microstructures without affecting their statistical behavior. The process ends computing the conduction efficiency from the microstructures. The simulation results, obtained from two kinds of images from different materials, demonstrate the effectivity of the proposed approach. It is important to remark that the controlled decimation allows a reduction of the processor and memory use during the reconstruction and ETC computation of electrodes. info:eu-repo/classification/Autores/DECIMATION info:eu-repo/classification/Autores/EFFECTIVE TRANSPORT COEFFICIENT info:eu-repo/classification/Autores/SIMULATED ANNEALING info:eu-repo/classification/Autores/STATISTICAL DESCRIPTORS info:eu-repo/classification/cti/7 info:eu-repo/classification/cti/33 info:eu-repo/classification/cti/3322 info:eu-repo/classification/cti/531205 info:eu-repo/classification/cti/531205 Materials, 12(22), 3757, 2019 http://cicy.repositorioinstitucional.mx/jspui/handle/1003/1719 info:eu-repo/semantics/datasetDOI/https://doi.org/10.3390/ma12223757 info:eu-repo/semantics/openAccess eng citation:Rodriguez, A., Barbosa, R., Rios, A., Ortegon, J., Escobar, B., Gayosso, B., & Couder, C. (2019). Effect of An Image Resolution Change on the Effective Transport Coefficient of Heterogeneous Materials. Materials, 12(22), 3757 http://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/publishedVersion application/pdf
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language eng
topic info:eu-repo/classification/Autores/DECIMATION
info:eu-repo/classification/Autores/EFFECTIVE TRANSPORT COEFFICIENT
info:eu-repo/classification/Autores/SIMULATED ANNEALING
info:eu-repo/classification/Autores/STATISTICAL DESCRIPTORS
info:eu-repo/classification/cti/7
info:eu-repo/classification/cti/33
info:eu-repo/classification/cti/3322
info:eu-repo/classification/cti/531205
info:eu-repo/classification/cti/531205
info:eu-repo/classification/Autores/DECIMATION
info:eu-repo/classification/Autores/EFFECTIVE TRANSPORT COEFFICIENT
info:eu-repo/classification/Autores/SIMULATED ANNEALING
info:eu-repo/classification/Autores/STATISTICAL DESCRIPTORS
info:eu-repo/classification/cti/7
info:eu-repo/classification/cti/33
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info:eu-repo/classification/cti/531205
info:eu-repo/classification/cti/531205
spellingShingle info:eu-repo/classification/Autores/DECIMATION
info:eu-repo/classification/Autores/EFFECTIVE TRANSPORT COEFFICIENT
info:eu-repo/classification/Autores/SIMULATED ANNEALING
info:eu-repo/classification/Autores/STATISTICAL DESCRIPTORS
info:eu-repo/classification/cti/7
info:eu-repo/classification/cti/33
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info:eu-repo/classification/cti/531205
info:eu-repo/classification/cti/531205
info:eu-repo/classification/Autores/DECIMATION
info:eu-repo/classification/Autores/EFFECTIVE TRANSPORT COEFFICIENT
info:eu-repo/classification/Autores/SIMULATED ANNEALING
info:eu-repo/classification/Autores/STATISTICAL DESCRIPTORS
info:eu-repo/classification/cti/7
info:eu-repo/classification/cti/33
info:eu-repo/classification/cti/3322
info:eu-repo/classification/cti/531205
info:eu-repo/classification/cti/531205
ABIMAEL RODRIGUEZ SANCHEZ
Romeli Barbosa
ABRAHAM RIOS BAHENA
Jaime Ortegon Aguilar
Beatriz Escobar Morales
BEATRIZ GAYOSSO ARCOS
CARLOS COUDER CASTAÑEDA
Effect of an image resolution change on the effective transport coefficient of heterogeneous materials
description Electrochemical electrodes comprise multiple phenomena at different scales. Several works have tried to model such phenomena using statistical techniques. This paper proposes a novel process to work with reduced size images to reconstruct microstructures with the Simulated Annealing method. Later, using the Finite Volume Method, it is verified the effect of the image resolution on the effective transport coefficient (ETC). The method can be applied to synthetic images or images from the Scanning Electron Microscope. The first stage consists of obtaining the image of minimum size, which contains at least 98% of the statistical information of the original image, allowing an equivalent statistical study. The image size reduction was made by applying an iterative decimation over the image using the normalized coarseness to compare the amount of information contained at each step. Representative improvements, especially in processing time, are achieved by reducing the size of the reconstructed microstructures without affecting their statistical behavior. The process ends computing the conduction efficiency from the microstructures. The simulation results, obtained from two kinds of images from different materials, demonstrate the effectivity of the proposed approach. It is important to remark that the controlled decimation allows a reduction of the processor and memory use during the reconstruction and ETC computation of electrodes.
format info:eu-repo/semantics/article
topic_facet info:eu-repo/classification/Autores/DECIMATION
info:eu-repo/classification/Autores/EFFECTIVE TRANSPORT COEFFICIENT
info:eu-repo/classification/Autores/SIMULATED ANNEALING
info:eu-repo/classification/Autores/STATISTICAL DESCRIPTORS
info:eu-repo/classification/cti/7
info:eu-repo/classification/cti/33
info:eu-repo/classification/cti/3322
info:eu-repo/classification/cti/531205
info:eu-repo/classification/cti/531205
author ABIMAEL RODRIGUEZ SANCHEZ
Romeli Barbosa
ABRAHAM RIOS BAHENA
Jaime Ortegon Aguilar
Beatriz Escobar Morales
BEATRIZ GAYOSSO ARCOS
CARLOS COUDER CASTAÑEDA
author_facet ABIMAEL RODRIGUEZ SANCHEZ
Romeli Barbosa
ABRAHAM RIOS BAHENA
Jaime Ortegon Aguilar
Beatriz Escobar Morales
BEATRIZ GAYOSSO ARCOS
CARLOS COUDER CASTAÑEDA
author_sort ABIMAEL RODRIGUEZ SANCHEZ
title Effect of an image resolution change on the effective transport coefficient of heterogeneous materials
title_short Effect of an image resolution change on the effective transport coefficient of heterogeneous materials
title_full Effect of an image resolution change on the effective transport coefficient of heterogeneous materials
title_fullStr Effect of an image resolution change on the effective transport coefficient of heterogeneous materials
title_full_unstemmed Effect of an image resolution change on the effective transport coefficient of heterogeneous materials
title_sort effect of an image resolution change on the effective transport coefficient of heterogeneous materials
url http://cicy.repositorioinstitucional.mx/jspui/handle/1003/1719
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