31 May 2021 to 4 June 2021
Europe/Berlin timezone

MATBOX, an Open-Source Microstructure Analysis Toolbox for Meshing, Generation, Segmentation, and Characterization of 3D Heterogenous Volumes

3 Jun 2021, 19:00
15m
Oral Presentation (MS10) Advances in imaging porous media: techniques, software and case studies MS10

Speaker

Dr Francois Usseglio-Viretta (National Renewable Energy Laboratory )

Description

Battery performance is strongly correlated with electrode microstructural properties. To account for its impact, lithium-ion battery (LIB) models either abstract the microstructural heterogeneity of composite electrodes using effective macroscopic properties (macro- or meso- scale models) or directly solve the system of equations on the microstructure geometry or mesh (microstructure-scale models). Therefore, to be adequate, both families of models require information from the microstructure geometry, which can be provided by the numerical tool presented in this work.

MATBOX is a MATLAB open-source application [1] developed by NREL for performing various microstructure-related tasks including microstructure numerical generation, image filtering and microstructure segmentation, microstructure characterization and correlation, visualization, and microstructure meshing. MATBOX was originally developed for the analysis of LIB electrode microstructures; however, the algorithms provided by the toolbox are widely applicable to other heterogeneous materials. The toolbox provides a user-friendly experience thanks to a Graphical-User Interface, requires no coding by the user, and is well documented. This presentation will illustrate various MATBOX features for the characterization of a LIB electrode, including a fully automated Representative Volume Element (RVE) analysis, the numerical generation of complex ‘virtual’ microstructure, including dual-layer electrodes and carbon-binder additive phase, and the meshing of a complex NMC/graphite full cell microstructure suitable for 3D finite-element modeling. Other modules (segmentation, visualization, and correlation) will be briefly presented.

Thanks to its modular, open-source approach, MATBOX can easily incorporate third-party algorithms to eventually build a standard in the field that will benefit the whole scientific community. Effective diffusion coefficient [2], additive phase numerical generation [3], and meshing [4] third-party algorithms have been already integrated in the toolbox with more to come.

References

[1] F. Usseglio-Viretta et al., MATBOX: an open-source microstructure analysis toolbox for microstructure generation, segmentation, characterization, visualization, correlation, and meshing (2020) https://github.nrel.gov/fussegli/Microstructure_analysis_toolbox.
[2] S. J. Cooper et al., TauFactor: An open-source application for calculating tortuosity factors from tomographic data. Softwarex 5, 203–210 (2016).
[3] Mistry, A., Smith, K. & Mukherjee, P. P. Secondary Phase Stochastics in Lithium-ion Battery Electrodes. ACS Applied Materials & Interfaces (2018) doi:10.1021/acsami.7b17771.
[4] Q. Fang et al., Tetrahedral mesh generation from volumetric binary and grayscale images. 2009 Ieee Int Symposium Biomed Imaging Nano Macro 1142–1145 (2009) doi:10.1109/isbi.2009.5193259.

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Primary author

Dr Francois Usseglio-Viretta (National Renewable Energy Laboratory )

Co-authors

Mr Prehit Patel (University of Alabama in Huntsville) Dr Jeffery Allen (National Renewable Energy Laboratory) Dr Aashutosh Mistry (Argonne National Laboratory) Dr Partha Mukherjee (Purdue University) Dr Kandler Smith (National Renewable Energy Laborator)

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