Speaker
Mr
Tim Haas
(Department for Industrial Furnaces and Heat Engineering)
Description
Numerical simulation plays a crucial role in the optimization of the ladle furnace. This work summarizes various works done to optimize flow modeling in the ladle furnace. This starts at the bubble scale with the development of a new measurement method based on machine learning. Then a comprehensive validation database was created on the physical modeling scale and the numerical model was optimized with it. Finally, this paper deals with the question of scaling the physical model scale to the industrial scale. For this purpose, different problems and their solutions are discussed and the flow of a full-scale 185 t ladle furnace calculated with the large eddy turbulence model is presented.
Author
Mr
Tim Haas
(Department for Industrial Furnaces and Heat Engineering)
Co-authors
Mr
Christian Schubert
(Department for Industrial Furnaces and Heat Engineering of the RWTH Aachen University)
Prof.
Herbert Pfeifer
(RWTH Aachen University)
Mr
Moritz Eickhoff
(Department for Industrial Furnaces and Heat Engineering of the RWTH Aachen University)