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On the impact of microsegregation model on the thermophysical and solidification behaviors of a large size steel ingot


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Zhang, Chunping, Jahazi, Mohammad and Gallego, Paloma Isabel. 2020. « On the impact of microsegregation model on the thermophysical and solidification behaviors of a large size steel ingot ». Metals, vol. 10, nº 1.
Compte des citations dans Scopus : 5.

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The impact of microsegregation models on thermophysical properties and solidification behaviors of a high strength steel was investigated. The examined microsegregation models include the classical equilibrium Lever rule, the extreme non-equilibrium Scheil-Gulliver, as well as other treatments in the intermediate regime proposed by Brody and Flemings, Clyne and Kurz, Kobayashi and Ohnaka. Based on the comparative analyses performed on three representative regions with varied secondary dendrite arm spacing sizes, the classical equilibrium Lever rule and non-equilibrium Scheil scheme were employed to determine the thermophysical features of the studied steel, using the experimentally verified models from literature. The evaluated thermophysical properties include effective thermal conductivity, specific heat capacity and density. The calculated thermophysical data were used for three-dimensional simulation of the casting and solidification process of a 40 metric ton steel ingot, using FEM code Thercast®. The simulations captured the full filling, the thermo-mechanical phenomena and macro-scale solute transport in the cast ingot. The results demonstrated that Lever rule turned out to be the most reasonable depiction of the physical behavior of steel in study in large-size cast ingot and appropriate for the relevant macrosegregation simulation study. The determination of the model was validated using the experimentally measured top cavity dimension, the thermal profiles on the mold outside surface by means of thermocouples, and the carbon distribution patterns via mass spectrometer analysis.

Item Type: Peer reviewed article published in a journal
Jahazi, Mohammad
Affiliation: Génie mécanique
Date Deposited: 22 Jan 2020 18:48
Last Modified: 13 Apr 2023 16:08

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