Heat Transfer in Steel Ladles: Models and Applications

Ana  P. M. Diniz; Patrick  M. Ciarelli; Evandro  O. T. Salles; Klaus  F. Coco

doi:10.48011/asba.v2i1.1368

Ana P. M. Diniz Universidade Federal do Espírito Santo
Patrick M. Ciarelli Universidade Federal do Espírito Santo
Evandro O. T. Salles Universidade Federal do Espírito Santo
Klaus F. Coco Universidade Federal do Espírito Santo

DOI: https://doi.org/10.48011/asba.v2i1.1368

Keywords: Steel ladle, Thermal control, Thermal loss, Modeling, Machine learning

Abstract

This work presents a summary of the main tools and contributions, since the 2000s, to solve temperature control problems and to predict thermal temperatures in steel ladles. We discuss different modeling strategies implemented to several applications related to heat transfer in steel ladles and their most relevant contributions, as well we show some of the main process parameters. Finally, future perspectives are described, mainly the advantages of the implementations based on machine learning.