| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Cast Shop Technology
|
| Presentation Title |
Digital Twin for Design and Optimization of DC Casting Lines |
| Author(s) |
Knut Omdal Tveito, Arild Håkonsen |
| On-Site Speaker (Planned) |
Knut Omdal Tveito |
| Abstract Scope |
The design of DC casting lines requires a careful consideration of metal temperatures, flow rates and automated control, with particular focus on the startup phase. While many parameters such as temperature losses and flow rates can be estimated, the calculation of filling rates and control systems performance requires theory of transient two-phase flows for accurate predictions. Detailed two-phase CFD simulations have been used to develop a reduced-order model capable of running in real-time. With a modular approach the digital twin can then be used to analyze different launder layouts/designs, degassers, filters and their effect of on key parameters such as startup temperature, filling rates and level control. The use of the digital twin in the development and implementation of a new Hycast LPC casting line is demonstrated and predictions compared to experimental data. Further use cases such as control system optimization, intelligent process control and online deviation detection is discussed. |
| Proceedings Inclusion? |
Planned: Light Metals |
| Keywords |
Modeling and Simulation, Solidification, Aluminum |