About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Circular Metallurgy: Design, Technology, Application
|
| Presentation Title |
Multiscale simulation of lithium-bearing phase solidification from lithium-ion battery slags |
| Author(s) |
Haojie Li, Sanchita Chakrabarty, Wojciech Kulozik, Hao Qiu, Marko Ranneberg, Torsten Graupner, Michael Fischlschweiger |
| On-Site Speaker (Planned) |
Haojie Li |
| Abstract Scope |
The rising use of lithium-ion batteries (LIBs) in electronics and electric vehicles increases the demand for the essential raw material lithium and highlights the importance of energy-efficient recycling methods. However, lithium recovery through a combined pyro- and hydrometallurgical process remains limited because lithium disperses into various phases within the slag. Adjusting the slag composition combined with controlled cooling can concentrate lithium into specific crystalline phases, which have different crystallization kinetics, enabling more efficient downstream recovery. In this work, we present a new multiscale simulation framework based on a machine learning-driven model reduction from the maximum entropy production principle, combined with an enthalpy-porosity technique and volume-of-fluid method within a finite volume framework. This approach considers both local kinetics and macroscale transport phenomena. The integrated method allows for accurate prediction of the spatiotemporal evolution of lithium-rich oxides and silicates, which have different kinetics, during slag solidification under various processing conditions. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Modeling and Simulation, Phase Transformations, Solidification |