Abstract

The article presents the results of multivariate calculations for the levitation metal melting system. The research had two main goals. The first goal of the multivariate calculations was to find the relationship between the basic electrical and geometric parameters of the selected calculation model and the maximum electromagnetic buoyancy force and the maximum power dissipated in the charge. The second goal was to find quasi-optimal conditions for levitation. The choice of the model with the highest melting efficiency is very important because electromagnetic levitation is essentially a low-efficiency process. Despite the low efficiency of this method, it is worth dealing with it because is one of the few methods that allow melting and obtaining alloys of refractory reactive metals. The research was limited to the analysis of the electromagnetic field modeled three-dimensionally. From among of 245 variants considered in the article, the most promising one was selected characterized by the highest efficiency. This variant will be a starting point for further work with the use of optimization methods.

Highlights

  • Electromagnetic Levitation MeltingA heat treatment, and in particular the melting of highly reactive metals, is quite a serious technological challenge

  • Levitation melting is the most difficult to implement in practice [1]

  • To obtain maximum melting efficiency, the parameters of the melting system should be properly selected for the melted material and its volume [3,4,5,6,7,8]

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Summary

Introduction

Electromagnetic Levitation MeltingA heat treatment, and in particular the melting of highly reactive metals, is quite a serious technological challenge. There are several techniques for melting and creating alloys of reactive metals: arc melting, melting in a cold crucible furnace and levitation melting. To obtain maximum melting efficiency, the parameters of the melting system should be properly selected for the melted material and its volume [3,4,5,6,7,8]. It seems that the best solution would be to apply optimization to the design. For a complete computational model including electromagnetic field, temperature field and flow field analysis, it is a difficult problem due to the complexity of the model and the long computation time [9,10]

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