Tortuosity characterization of 3D microstructure at nano-scale for energy storage and conversion materials

Yu Chen Karen Chen-Wiegart; Ross Demike; Can Erdonmez; Katsuyo Thornton; Scott A. Barnett; Jun Wang

doi:10.1016/j.jpowsour.2013.10.026

Tortuosity characterization of 3D microstructure at nano-scale for energy storage and conversion materials

Yu Chen Karen Chen-Wiegart, Ross Demike, Can Erdonmez, Katsuyo Thornton, Scott A. Barnett, Jun Wang^*

^*Corresponding author for this work

Materials Science and Engineering

Research output: Contribution to journal › Article › peer-review

102 Scopus citations

Abstract

A distance propagation method is presented for calculating tortuosity with relatively low computation time from three-dimensional (3D) tomographic data. Moreover, a novel concept of tortuosity distribution is developed to provide a more comprehensive picture of inhomogeneous microstructures where tortuosity depends on the actual 3D paths. Instead of using one single tortuosity value, the tortuosity distribution both as spatial distribution map and also statistic histogram can provide a more complete description. The method, which can be applied to any porous medium, is tested against a diffusion-based tortuosity calculation on two 3D microstructures: a LiCoO2 cathode electrode of lithium ion battery measured by x-ray nano-tomography and a lanthanum strontium manganite-yttria-stabilized zirconia, solid oxide fuel cells cathode measured using focused ion beam-scanning electron microscopy serial sectioning. The present method is shown to provide good-agreement with the effective diffusion-based tortuosity values.

Original language	English (US)
Pages (from-to)	349-356
Number of pages	8
Journal	Journal of Power Sources
Volume	249
DOIs	https://doi.org/10.1016/j.jpowsour.2013.10.026
State	Published - 2014

Funding

We are grateful that Prof. Eric Maire provided us with the methodology developed by his group. We thank William Harris and Prof. Wilson Chiu for the helpful discussion. We thank Dr. Fernando Camino for assisting the development of the sample preparation procedure using FIB-SEM. Research carried out in part at the Center for Functional Nanomaterials, Brookhaven National Laboratory, which is supported by the U.S. Department of Energy, Office of Basic Energy Sciences, under Contract No. DE-AC02-98CH10886. Use of the National Synchrotron Light Source, Brookhaven National Laboratory, was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-98CH10886. Scott Barnett and Katsuyo Thornton gratefully acknowledge support by the National Science Foundation under Grant Number DMR-0907639/0907030.

Keywords

Lithium ion battery
Novel charaterization
Solid oxide fuel cell
Three dimensional structure
Tortuosity
X-ray tomography

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Energy Engineering and Power Technology
Physical and Theoretical Chemistry
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.jpowsour.2013.10.026

Cite this

@article{c5d7d386d1c648408430030e33ea9db1,

title = "Tortuosity characterization of 3D microstructure at nano-scale for energy storage and conversion materials",

abstract = "A distance propagation method is presented for calculating tortuosity with relatively low computation time from three-dimensional (3D) tomographic data. Moreover, a novel concept of tortuosity distribution is developed to provide a more comprehensive picture of inhomogeneous microstructures where tortuosity depends on the actual 3D paths. Instead of using one single tortuosity value, the tortuosity distribution both as spatial distribution map and also statistic histogram can provide a more complete description. The method, which can be applied to any porous medium, is tested against a diffusion-based tortuosity calculation on two 3D microstructures: a LiCoO2 cathode electrode of lithium ion battery measured by x-ray nano-tomography and a lanthanum strontium manganite-yttria-stabilized zirconia, solid oxide fuel cells cathode measured using focused ion beam-scanning electron microscopy serial sectioning. The present method is shown to provide good-agreement with the effective diffusion-based tortuosity values.",

keywords = "Lithium ion battery, Novel charaterization, Solid oxide fuel cell, Three dimensional structure, Tortuosity, X-ray tomography",

author = "Chen-Wiegart, {Yu Chen Karen} and Ross Demike and Can Erdonmez and Katsuyo Thornton and Barnett, {Scott A.} and Jun Wang",

note = "Funding Information: We are grateful that Prof. Eric Maire provided us with the methodology developed by his group. We thank William Harris and Prof. Wilson Chiu for the helpful discussion. We thank Dr. Fernando Camino for assisting the development of the sample preparation procedure using FIB-SEM. Research carried out in part at the Center for Functional Nanomaterials, Brookhaven National Laboratory, which is supported by the U.S. Department of Energy, Office of Basic Energy Sciences, under Contract No. DE-AC02-98CH10886. Use of the National Synchrotron Light Source, Brookhaven National Laboratory, was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-98CH10886. Scott Barnett and Katsuyo Thornton gratefully acknowledge support by the National Science Foundation under Grant Number DMR-0907639/0907030.",

year = "2014",

doi = "10.1016/j.jpowsour.2013.10.026",

language = "English (US)",

volume = "249",

pages = "349--356",

journal = "Journal of Power Sources",

issn = "0378-7753",

publisher = "Elsevier",

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T1 - Tortuosity characterization of 3D microstructure at nano-scale for energy storage and conversion materials

AU - Chen-Wiegart, Yu Chen Karen

AU - Demike, Ross

AU - Erdonmez, Can

AU - Thornton, Katsuyo

AU - Barnett, Scott A.

AU - Wang, Jun

N1 - Funding Information: We are grateful that Prof. Eric Maire provided us with the methodology developed by his group. We thank William Harris and Prof. Wilson Chiu for the helpful discussion. We thank Dr. Fernando Camino for assisting the development of the sample preparation procedure using FIB-SEM. Research carried out in part at the Center for Functional Nanomaterials, Brookhaven National Laboratory, which is supported by the U.S. Department of Energy, Office of Basic Energy Sciences, under Contract No. DE-AC02-98CH10886. Use of the National Synchrotron Light Source, Brookhaven National Laboratory, was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-98CH10886. Scott Barnett and Katsuyo Thornton gratefully acknowledge support by the National Science Foundation under Grant Number DMR-0907639/0907030.

PY - 2014

Y1 - 2014

N2 - A distance propagation method is presented for calculating tortuosity with relatively low computation time from three-dimensional (3D) tomographic data. Moreover, a novel concept of tortuosity distribution is developed to provide a more comprehensive picture of inhomogeneous microstructures where tortuosity depends on the actual 3D paths. Instead of using one single tortuosity value, the tortuosity distribution both as spatial distribution map and also statistic histogram can provide a more complete description. The method, which can be applied to any porous medium, is tested against a diffusion-based tortuosity calculation on two 3D microstructures: a LiCoO2 cathode electrode of lithium ion battery measured by x-ray nano-tomography and a lanthanum strontium manganite-yttria-stabilized zirconia, solid oxide fuel cells cathode measured using focused ion beam-scanning electron microscopy serial sectioning. The present method is shown to provide good-agreement with the effective diffusion-based tortuosity values.

AB - A distance propagation method is presented for calculating tortuosity with relatively low computation time from three-dimensional (3D) tomographic data. Moreover, a novel concept of tortuosity distribution is developed to provide a more comprehensive picture of inhomogeneous microstructures where tortuosity depends on the actual 3D paths. Instead of using one single tortuosity value, the tortuosity distribution both as spatial distribution map and also statistic histogram can provide a more complete description. The method, which can be applied to any porous medium, is tested against a diffusion-based tortuosity calculation on two 3D microstructures: a LiCoO2 cathode electrode of lithium ion battery measured by x-ray nano-tomography and a lanthanum strontium manganite-yttria-stabilized zirconia, solid oxide fuel cells cathode measured using focused ion beam-scanning electron microscopy serial sectioning. The present method is shown to provide good-agreement with the effective diffusion-based tortuosity values.

KW - Lithium ion battery

KW - Novel charaterization

KW - Solid oxide fuel cell

KW - Three dimensional structure

KW - Tortuosity

KW - X-ray tomography

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JO - Journal of Power Sources

JF - Journal of Power Sources

ER -

Tortuosity characterization of 3D microstructure at nano-scale for energy storage and conversion materials

Abstract

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

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