Microstructure reconstruction of battery polymer separators by fusing 2D and 3D image data for transport property analysis
Microstructure reconstruction of battery polymer separators by fusing 2D and 3D image data for transport property analysis
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DOI：
10.1016/j.jpowsour.2020.229101
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发表时间：
2020-12-31
影响因子：
9.2
通讯作者：
Finegan, Donal P.
中科院分区：
文献类型：
--
作者：
Xu, Hongyi;Usseglio-Viretta, Francois;Finegan, Donal P.
提出了一种利用二维和三维显微方法的分辨率和样本体积特性来生成高保真三维微结构重建的新方法。采用这种方法对锂离子电池用高正交异性聚丙烯隔膜的微观结构进行了建模，这种隔膜具有纤维(100 Nm)和片层(100 Nm)的多尺度特征，难以在3D中分辨。相衬纳米X射线计算机层析数据用于重建片层相，而二维扫描电子显微镜数据用于表征超出X射线计算机层析成像有效分辨率的亚100 nm微结构特征，如细纤维。基于2D高分辨率数据，随机重建原纤毛几何结构，并在3D空间中与片层几何结构相结合。通过输运特性分析，考察了不考虑纤维的微结构模型的偏倚。还进行了敏感性研究，以便于了解微结构特征与传输特性之间的关系。
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) and lamellae ( 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.