Optimization of htc value by inverse model based on experimental measurement of a 26.6-ton steel ingot
- Anna Mantelli
- Annalisa Pola
- Marcello Gelfi
- Cristian Viscardi
- Francesco Bergamaschi
- Massimo Svanera
(2023). ECMS 2023, 37th Proceedings
Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation.
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-79-1 (CD) Communications of the ECMS Volume 37, Issue 1, June 2023, Florence, Italy June 20th – June 23rd, 2023
Anna mantelli, Annalisa pola, Marcello gelfi, Cristian viscardi, Francesco bergamaschi, Massimo svanera (2023). OPTIMIZATION OF HTC VALUE BY INVERSE MODEL BASED ON EXPERIMENTAL MEASUREMENT OF A 26.6-ton STEEL INGOT, ECMS 2023, Proceedings Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation. doi:10.7148/2023-0249
A 26.6-ton steel ingot has been experimentally investigated during the whole industrial casting process to determine the heat transfer coefficient (HTC) with the mould as a function of the temperature. The determination of this parameter is strongly important for the correct setting of numerical simulations because it greatly influences the solidification and, therefore, the occurrence of defects in steel ingots, such as shrinkage porosities and segregations. Temperature variations of eight distinct positions inside the mould were recorded to acquire thermal conditions and determine the HTC value at the interface between ingot and mould. The calculation was carried out through the inverse model implemented in the ProCAST® 2022 simulation software. All parameters and boundary conditions of the industrial process were evaluated and recorded during the filling and solidification steps. The thermal properties of the materials used in the model were previously measured in laboratory.