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Effects of electrode immersion depth and remelting rate on electroslag remelting process

China Foundry 2014年第3期11卷 163-167页

作者： Song Jinchun Wang Changzhou Li Song Northeastern University

In the electroslag remelting process, the electrode molten state is a critical factor determining the ingot quality, while the electrode immersion depth and melting rate are key factors for the stability of the electroslag re-melting process. Studies were carried out to investigate the microscopic and macroscopic effects of electrode immersion depth and melting rate on the potential distribution and heat density in the slag bath, and on the depth and shape of the molten bath. Based on the finite element method and the numerical solution method, the effect of the electrode immersion depth on the slag bath heat density was researched; the relationship between the electrode immersion depth and the slag resistance was obtained; and the unsteady-state model of the solidification process of the re-melting ingot was solved using the finite difference method. The mathematical model and physical model of the electrode melting process were established and solved; and the corresponding curves between the electrode molten-state and slag-bath physical parameters were obtained. The experimental results verified the simulated results studied in this paper.

关键词： electroslag remelting electrode molten state immersion depth melting rate

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Numerical Modelling of Continuous Casting as a Real Tool for Process Improvement

Numerical Modelling of Continuous Casting as a Real Tool for...

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第十届中国钢铁年会暨第六届宝钢学术年会

作者： Pooria Nazem Jalali Pavel Ramirez E.Lopez Thomas Jonsson Christer Nilsson Swerea MEFOS AB Aronstorpsv?gen 1 SE 97 437 Lule? SWEDENMaterials Science and Engineering Department KTH University

An advanced numerical model, developed by Swerea MEFOS AB, has been used to diagnose and optimize steel casting practices for peritectic steels for a Scandinavian steel producer. The model is based on the commercial code ANSYS-FLUENT 15.0 which solves the Navier-Stokes equations by using an interface tracking technique known as Volume of Fluid（VOF） for the multiple phase system steel/slag. As a result, the model predicts metal flow and slag infiltration as well as their influence on heat flux and solidification under transient conditions. Recent improvements to the model include separation between mould powder and slag film and considering the effect of crystallization on interfacial resistance for a Peritectic mould powder through a User Defined Function（UDF）. The casting parameters analysed consist ofcasting speed interlocked with oscillation settings, Submerged Entry Nozzle（SEN） immersion depth and Argon injection flow rate. These practises were optimised by performing parametric studies to evaluate shell growth, lubrication depth, cooling channel heat flux, etc. Application of the model allows the prediction of trends and opportunities for further improvement in the form of guidelines for the process and enhanced operational windows. These have been tested at industrial level showing improvements on surface quality and process stability.

关键词： continuous casting numerical modelling mould oscillation immersion depth argon injection

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