{"title":"Analytical Design of Electrode Particle Debonding for Battery Applications","authors":"A. S. Mitra, Abraham Anapolsky, Edwin Garcia","doi":"10.1088/1361-651x/ad5f49","DOIUrl":null,"url":null,"abstract":"\n A physics-based analytical methodology is presented to describe the debonding of a statistically representative electrochemically active particle from the surrounding binder-electrolyte matrix in a porous electrode. The proposed framework enables to determine the space of C-Rates and electrode particle radii that suppresses or enhances debonding and is graphically summarized into maps where four debonding mechanisms were identified: a) the spontaneous debonding mechanism, which occurs when the electrode particle spontaneously detaches from the matrix; b) the continuous debonding mechanism, which occurs when the electrode particle gradually loses contact with the surrounding matrix; c) the electrochemical cycling fatigue mechanism, which causes gradual growth of the flaw due to electrochemical cycling; and d) the microstructural debonding mechanism, which is a result of the microstructural stochastics of the electrode and is embodied in terms of the debonding probability of particles. The critical C-Rates for debonding demonstrate a mechanism-dependent power-law relation with respect to the particle radius, which enables the experimental identification of the failure mechanism thereby providing a context to formulate design strategies to minimize debonding and provide robust, physics-based, phenomenological, and statistics-based estimates for electrochemically driven failure.","PeriodicalId":18648,"journal":{"name":"Modelling and Simulation in Materials Science and Engineering","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Modelling and Simulation in Materials Science and Engineering","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1088/1361-651x/ad5f49","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
A physics-based analytical methodology is presented to describe the debonding of a statistically representative electrochemically active particle from the surrounding binder-electrolyte matrix in a porous electrode. The proposed framework enables to determine the space of C-Rates and electrode particle radii that suppresses or enhances debonding and is graphically summarized into maps where four debonding mechanisms were identified: a) the spontaneous debonding mechanism, which occurs when the electrode particle spontaneously detaches from the matrix; b) the continuous debonding mechanism, which occurs when the electrode particle gradually loses contact with the surrounding matrix; c) the electrochemical cycling fatigue mechanism, which causes gradual growth of the flaw due to electrochemical cycling; and d) the microstructural debonding mechanism, which is a result of the microstructural stochastics of the electrode and is embodied in terms of the debonding probability of particles. The critical C-Rates for debonding demonstrate a mechanism-dependent power-law relation with respect to the particle radius, which enables the experimental identification of the failure mechanism thereby providing a context to formulate design strategies to minimize debonding and provide robust, physics-based, phenomenological, and statistics-based estimates for electrochemically driven failure.
期刊介绍:
Serving the multidisciplinary materials community, the journal aims to publish new research work that advances the understanding and prediction of material behaviour at scales from atomistic to macroscopic through modelling and simulation.
Subject coverage:
Modelling and/or simulation across materials science that emphasizes fundamental materials issues advancing the understanding and prediction of material behaviour. Interdisciplinary research that tackles challenging and complex materials problems where the governing phenomena may span different scales of materials behaviour, with an emphasis on the development of quantitative approaches to explain and predict experimental observations. Material processing that advances the fundamental materials science and engineering underpinning the connection between processing and properties. Covering all classes of materials, and mechanical, microstructural, electronic, chemical, biological, and optical properties.