Abstract

In modern times, exposure to a liquid metal by a travelling magnetic field is widely applied. There are laboratory studies on the processes of stirring and crystallization under the action of a traveling magnetic field. However, in the majority of studies it is assumed that the inductor power supply of the linear induction machine is carried out by a symmetrical three-phase system of currents with an equal phase shift, which, in some cases, is not quite correct. To approximate the model to real operating conditions, a numerical simulation of the magnetic field and the flow of liquid metal was carried out when supplied from a power source of symmetric three-phase voltage. The distortion of magnetic field, which, in turn, causes an nonuniform distribution of forces and the flow of a liquid metal, is shown. Evaluation of asymmetrical effect on the liquid metal flow was carried out by means of finite element method. That effect is caused by different coefficients of mutual coils induction of the linear induction machine, which is confirmed by experimental data.

Highlights

  • Application of magnetic fields in a modern metallurgy play an important role

  • In the majority of studies it is assumed that the inductor power supply of the linear induction machine is carried out by a symmetrical threephase system of currents with an equal phase shift, which, in some cases, is not quite correct

  • Current magnitudes and phase shifts between them lead to the uniform distribution of magnetic flux density

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Summary

Introduction

Application of magnetic fields in a modern metallurgy play an important role. Control of stirring and transport of melt can be contactless provide by magnetic field influence. That method many decades approves his advantages but from another hand it demands additional costs for research. Numerical simulation is a good tool for investigators due to opacity, high temperature and aggressiveness of liquid metals. Many developers use the simplifications in an electromagnetic part of the numerical models. It can be helpful for both model developing time and computation power demands. Sometimes that simplification includes a special aspect and can influence on a numerical results, especially in the case of non-ideal inductor [1]

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