Conveners
Session 6: CFD and modeling
- Alexander Scheriau (INTECO melting and casting technologies GmbH )
Abstract
The performance of data models and their associated machine-learning routines for simulations of multi-physical continuous casting processes are scrutinised in this research work. Data science techniques have already started to have a significant impact on optimisation and controlling of manufacturing processes by providing fast and real-time predictive-corrective tools. These...
Abstract
Simulating the inclusion removal process in a tundish requires the consideration of large range of time and length scales.[1.] Because of both the steel and argon inlet, small timesteps as well as a fine mesh are required due to turbulence. On the other hand, the cleaning process itself takes comparatively long times to reach a steady state and consequently large computational...
The formation of freeze lining (FL), a protective layer of solidified slag, holds significant economic value in industrial processes by safeguarding furnace reactors and refractories from corrosive molten slag and providing a thermal barrier that minimizes energy consumption. To deepen our comprehension of FL formation, a collaborative research project has been undertaken, bringing together...
The AOD (Argon Oxygen Decarburization) converter process is a dominant process step in the production of high-quality stainless steel, with gas injection playing a critical role in influencing process efficiency and product quality. This paper focuses on developing a mathematical model for gas injection in the AOD converter process, utilizing advanced Computational Fluid Dynamics (CFD)...
