| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Materials Processing Fundamentals
|
| Presentation Title |
Post Processing Approach to Model Microsilica Formation |
| Author(s) |
Kurian J. Vachaparambil, Kristian Etienne Einarsrud, Stefan Andersson, Halvor Dalaker |
| On-Site Speaker (Planned) |
Kurian J. Vachaparambil |
| Abstract Scope |
Understanding the underlying the physics involved in the formation of microsilica, which is a byproduct in the silicon furnaces, is critical as the size and quality of these particles determine its applications. To the best knowledge of the authors, there has been a single attempt to develop a model to describe this (Gonalez-Farina et al. SIAM J. Appl. Math (2020) 80(2) 1003-1033).
Inspired by that work, we present an OpenFOAM based framework to model microsilica formation. The approach is dubbed as a post-processing method as it decouples the combustion reaction from the microsilica formation (based on an assumption used in the previous work). In this paper we perform combustion of SiO and CO using a turbulent reacting flow solver in OpenFOAM and use the results in a new population balance solver (based on the QMOM approach) to simulate microsilica nucleation/growth as well as its coupling to the SiO2 concentration field. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Modeling and Simulation, |