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Methods for Tomographic Segmentation in Pseudo-Cylindrical Coordinates for Bobbin-Type Batteries

[Image: see text] High-resolution X-ray computed tomography (CT) has become an invaluable tool in battery research for its ability to probe phase distributions in sealed samples. The Cartesian coordinates used in describing the CT image stack are not appropriate for understanding radial dependencies...

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Autores principales: Guida, Dominick P., Stavola, Alyssa M., Chuang, Andrew Chihpin, Okasinski, John S., Wendling, Matthew T., Chadderdon, Xiaotong H., Gallaway, Joshua W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591542/
https://www.ncbi.nlm.nih.gov/pubmed/37877006
http://dx.doi.org/10.1021/acsmeasuresciau.3c00015
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author Guida, Dominick P.
Stavola, Alyssa M.
Chuang, Andrew Chihpin
Okasinski, John S.
Wendling, Matthew T.
Chadderdon, Xiaotong H.
Gallaway, Joshua W.
author_facet Guida, Dominick P.
Stavola, Alyssa M.
Chuang, Andrew Chihpin
Okasinski, John S.
Wendling, Matthew T.
Chadderdon, Xiaotong H.
Gallaway, Joshua W.
author_sort Guida, Dominick P.
collection PubMed
description [Image: see text] High-resolution X-ray computed tomography (CT) has become an invaluable tool in battery research for its ability to probe phase distributions in sealed samples. The Cartesian coordinates used in describing the CT image stack are not appropriate for understanding radial dependencies, like that seen in bobbin-type batteries. The most prominent of these bobbin-type batteries is alkaline Zn–MnO(2), which dominates the primary battery market. To understand material radial dependencies within these batteries, a method is presented to approximate the Cartesian coordinates of CT data into pseudo-cylindrical coordinates. This is important because radial volume fractions are the output of computational battery models, and this will allow the correlation of a battery model to CT data. A selection of 10 anodes inside Zn–MnO(2) AA batteries are used to demonstrate the method. For these, the pseudo-radius is defined as the relative distance in the anode between the central current collecting pin and the separator. Using these anodes, we validate that this method results in averaged one-dimensional material profiles that, when compared to other methods, show a better quantitative match to individual local slices of the anodes in the polar θ-direction. The other methods tested are methods that average to an absolute center point based on either the pin or the separator. The pseudo-cylindrical method also corrects for slight asymmetries observed in bobbin-type batteries because the pin is often slightly off-center and the separator often has a noncircular shape.
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spelling pubmed-105915422023-10-24 Methods for Tomographic Segmentation in Pseudo-Cylindrical Coordinates for Bobbin-Type Batteries Guida, Dominick P. Stavola, Alyssa M. Chuang, Andrew Chihpin Okasinski, John S. Wendling, Matthew T. Chadderdon, Xiaotong H. Gallaway, Joshua W. ACS Meas Sci Au [Image: see text] High-resolution X-ray computed tomography (CT) has become an invaluable tool in battery research for its ability to probe phase distributions in sealed samples. The Cartesian coordinates used in describing the CT image stack are not appropriate for understanding radial dependencies, like that seen in bobbin-type batteries. The most prominent of these bobbin-type batteries is alkaline Zn–MnO(2), which dominates the primary battery market. To understand material radial dependencies within these batteries, a method is presented to approximate the Cartesian coordinates of CT data into pseudo-cylindrical coordinates. This is important because radial volume fractions are the output of computational battery models, and this will allow the correlation of a battery model to CT data. A selection of 10 anodes inside Zn–MnO(2) AA batteries are used to demonstrate the method. For these, the pseudo-radius is defined as the relative distance in the anode between the central current collecting pin and the separator. Using these anodes, we validate that this method results in averaged one-dimensional material profiles that, when compared to other methods, show a better quantitative match to individual local slices of the anodes in the polar θ-direction. The other methods tested are methods that average to an absolute center point based on either the pin or the separator. The pseudo-cylindrical method also corrects for slight asymmetries observed in bobbin-type batteries because the pin is often slightly off-center and the separator often has a noncircular shape. American Chemical Society 2023-06-21 /pmc/articles/PMC10591542/ /pubmed/37877006 http://dx.doi.org/10.1021/acsmeasuresciau.3c00015 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Guida, Dominick P.
Stavola, Alyssa M.
Chuang, Andrew Chihpin
Okasinski, John S.
Wendling, Matthew T.
Chadderdon, Xiaotong H.
Gallaway, Joshua W.
Methods for Tomographic Segmentation in Pseudo-Cylindrical Coordinates for Bobbin-Type Batteries
title Methods for Tomographic Segmentation in Pseudo-Cylindrical Coordinates for Bobbin-Type Batteries
title_full Methods for Tomographic Segmentation in Pseudo-Cylindrical Coordinates for Bobbin-Type Batteries
title_fullStr Methods for Tomographic Segmentation in Pseudo-Cylindrical Coordinates for Bobbin-Type Batteries
title_full_unstemmed Methods for Tomographic Segmentation in Pseudo-Cylindrical Coordinates for Bobbin-Type Batteries
title_short Methods for Tomographic Segmentation in Pseudo-Cylindrical Coordinates for Bobbin-Type Batteries
title_sort methods for tomographic segmentation in pseudo-cylindrical coordinates for bobbin-type batteries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591542/
https://www.ncbi.nlm.nih.gov/pubmed/37877006
http://dx.doi.org/10.1021/acsmeasuresciau.3c00015
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