About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Algorithms Development in Materials Science and Engineering
|
| Presentation Title |
A Multiphysics SPH Framework for Modeling Battery Electrode Drying |
| Author(s) |
Zirui Mao, Shenyang Hu |
| On-Site Speaker (Planned) |
Zirui Mao |
| Abstract Scope |
Efficient electrode manufacturing requires predictive modeling of drying, a process characterized by complex phase transitions, multiphase interactions, and spatially inhomogeneous mass transfer. We present a novel Smoothed Particle Hydrodynamics (SPH) framework designed to simulate drying-induced microstructure evolution under such inhomogeneous conditions. The model features mass-changing SPH particles to represent solvent evaporation/boiling and captures spatial variations in pressure, temperature, and transport properties. These features enable accurate simulation of nonuniform mass transfer in porous, evolving domains. The Lagrangian formulation supports robust resolution of multi-phase transport in complex geometries, offering scalability and adaptability. This physics-informed framework provides insights into how drying heterogeneities influence final electrode structure and performance by embedding Multiphysics and multiscale capabilities into a single, mesh-free algorithmic platform, enabling targeted algorithm development for improved manufacturing process control and materials design. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Modeling and Simulation, Computational Materials Science & Engineering, Phase Transformations |