TY - JOUR
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
UR - http://www.scopus.com/inward/record.url?scp=84887871206&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887871206&partnerID=8YFLogxK
U2 - 10.1016/j.jpowsour.2013.10.026
DO - 10.1016/j.jpowsour.2013.10.026
M3 - Article
AN - SCOPUS:84887871206
VL - 249
SP - 349
EP - 356
JO - Journal of Power Sources
JF - Journal of Power Sources
SN - 0378-7753
ER -
