dc.creatorABIMAEL RODRIGUEZ SANCHEZ
dc.creatorRomeli Barbosa
dc.creatorABRAHAM RIOS BAHENA
dc.creatorJaime Ortegon Aguilar
dc.creatorBeatriz Escobar Morales
dc.creatorBEATRIZ GAYOSSO ARCOS
dc.creatorCARLOS COUDER CASTAÑEDA
dc.date2019
dc.date.accessioned2023-07-21T19:19:00Z
dc.date.available2023-07-21T19:19:00Z
dc.identifierhttp://cicy.repositorioinstitucional.mx/jspui/handle/1003/1719
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7737274
dc.descriptionElectrochemical 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.
dc.formatapplication/pdf
dc.languageeng
dc.relationinfo:eu-repo/semantics/datasetDOI/https://doi.org/10.3390/ma12223757
dc.relationcitation: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
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceMaterials, 12(22), 3757, 2019
dc.subjectinfo:eu-repo/classification/Autores/DECIMATION
dc.subjectinfo:eu-repo/classification/Autores/EFFECTIVE TRANSPORT COEFFICIENT
dc.subjectinfo:eu-repo/classification/Autores/SIMULATED ANNEALING
dc.subjectinfo:eu-repo/classification/Autores/STATISTICAL DESCRIPTORS
dc.subjectinfo:eu-repo/classification/cti/7
dc.subjectinfo:eu-repo/classification/cti/33
dc.subjectinfo:eu-repo/classification/cti/3322
dc.subjectinfo:eu-repo/classification/cti/531205
dc.subjectinfo:eu-repo/classification/cti/531205
dc.titleEffect of an image resolution change on the effective transport coefficient of heterogeneous materials
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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