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.

OPTIMIZATION OF HTC VALUE BY INVERSE MODEL BASED ON EXPERIMENTAL MEASUREMENT OF A 26.6-ton STEEL INGOT

Mantelli A.;Pola A.;Gelfi M.;Viscardi C.;
2023-01-01

Abstract

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/581185
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