About this Abstract |
| Meeting |
MS&T26: Materials Science & Technology
|
| Symposium
|
Grain Boundaries, Interfaces, and Surfaces: Fundamental Structure-Property-Performance Relationships
|
| Presentation Title |
Direct Imaging-to-Simulation Phase Field Method for Quantifying Texture-Induced Anisotropy in Effective Electrical Conductivity of Composite Materials |
| Author(s) |
Darrin Turner, Lenissongui C Yeo, Jonathan B Grunewald, Jacob L Bair |
| On-Site Speaker (Planned) |
Darrin Turner |
| Abstract Scope |
Electrical conductivity in battery electrodes is crucial to the manufacture, production, and use of any battery. By building and improving upon two models from already published studies, a generalized multiphase, multi-grain Phase Field Model (PFM) was established to predict electrical conductivity of specific electrode compositions. The resulting model does allow for evolutions of multiphase and polycrystalline-microstructures, but the current work is focused only on microstructures with no phase mobility nor grain mobility. The first application of this model was within ~2% of the experimental average taken by probing an NMC811-based battery electrode to obtain the experimental data. A second study was also conducted focused on comparing the effects of highly textured composites with randomly oriented grains on the effective electrical conductivity within NMC811 microstructures containing NbO and graphite. This sensitivity analysis shows the significant influence of microstructural texture on anisotropic conductivity, with greater individual effects observed in highly textured orientations. |