Methods for Tomographic Segmentation in Pseudo-Cylindrical Coordinates for Bobbin-Type Batteries
- PMID: 37877006
- PMCID: PMC10591542
- DOI: 10.1021/acsmeasuresciau.3c00015
Methods for Tomographic Segmentation in Pseudo-Cylindrical Coordinates for Bobbin-Type Batteries
Abstract
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-MnO2, 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-MnO2 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.
© 2023 The Authors. Published by American Chemical Society.
Conflict of interest statement
The authors declare no competing financial interest.
Figures
continuously discharged to 1420 mA h (cell
#3). The anode was divided into eight θ-slices along θsep, with a significant void defect in slices 7 and 8.
References
-
- Hack J.; Patel D.; Bailey J. J.; Iacoviello F.; Shearing P. R.; Brett D. J. In situ x-ray computed tomography of zinc–air primary cells during discharge: correlating discharge rate to anode morphology. J. Phys.: Mater. 2021, 5, 014001 10.1088/2515-7639/ac3f9a. - DOI
-
- Scharf J.; Yin L.; Redquest C.; Liu R.; Quinn X. L.; Ortega J.; Wei X.; Wang J.; Doux J. M.; Meng Y. S. Investigating Degradation Modes in Zn-AgO Aqueous Batteries with In Situ X-Ray Micro Computed Tomography. Adv. Energy Mater. 2021, 11, 2101327 10.1002/aenm.202101327. - DOI
-
- Tariq F.; Yufit V.; Kishimoto M.; Shearing P.; Menkin S.; Golodnitsky D.; Gelb J.; Peled E.; Brandon N. Three-dimensional high resolution X-ray imaging and quantification of lithium ion battery mesocarbon microbead anodes. J. Power Sources 2014, 248, 1014–1020. 10.1016/j.jpowsour.2013.08.147. - DOI
-
- Su Z.; Decencière E.; Nguyen T.-T.; El-Amiry K.; De Andrade V.; Franco A. A.; Demortière A. Artificial neural network approach for multiphase segmentation of battery electrode nano-CT images. npj Comput. Mater. 2022, 8, 30 10.1038/s41524-022-00709-7. - DOI
LinkOut - more resources
Full Text Sources