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Microstructure reconstruction of battery polymer separators by fusing 2D and 3D image data for transport property analysis
- Source :
- Journal of Power Sources. 480:229101
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- A new approach to generate high-fidelity 3D microstructure reconstructions by leveraging resolution and sample volume characteristics from 2D and 3D microscopy methods is presented. This approach is employed to model the microstructure of a highly orthotropic polypropylene separator used in lithium-ion batteries, which have challenging multi-scale features of fibrils ( 100 nm) to resolve in 3D. Phase contrast nano X-ray computed tomographic data are used to reconstruct the lamellae phase, while 2D scanning electron microscopy data are used to characterize sub-100 nm microstructure features such as the thin fibrils that are beyond the effective resolution of X-ray computed tomography. Fibril geometries are reconstructed stochastically based on the 2D higher resolution data, and integrated with the lamellae geometries in 3D space. Transport property analyses are performed to investigate the bias of microstructure models without considering the fibrils. A sensitivity study is also conducted to facilitate understanding of the relationship between microstructure characteristics and transport properties.
- Subjects :
- Polypropylene
Materials science
Renewable Energy, Sustainability and the Environment
Scanning electron microscope
Energy Engineering and Power Technology
02 engineering and technology
Property analysis
010402 general chemistry
021001 nanoscience & nanotechnology
Microstructure
Orthotropic material
01 natural sciences
0104 chemical sciences
chemistry.chemical_compound
chemistry
3d image
Nano
Electrical and Electronic Engineering
Physical and Theoretical Chemistry
Composite material
0210 nano-technology
Separator (electricity)
Subjects
Details
- ISSN :
- 03787753
- Volume :
- 480
- Database :
- OpenAIRE
- Journal :
- Journal of Power Sources
- Accession number :
- edsair.doi...........0f92057fe3beeafe5ab1721cda146b7b
- Full Text :
- https://doi.org/10.1016/j.jpowsour.2020.229101