氩气保护电渣重熔脱硫预测研究

Prediction study of desulfurization during the argon protective electroslag remelting process

  • 摘要: 在工业级氩气保护电渣重熔过程中,钢中脱除的硫在渣中积累,会影响脱硫反应效率,造成重熔锭中硫含量分布不均。目前,电渣脱硫研究主要是基于规格较小的实验级,与大规格的工业级电渣脱硫动力学条件差别明显,故相关研究成果在工业应用中存在局限性。因此,本研究建立了工业级电渣重熔过程脱硫反应模型,经3吨氩气保护电渣实验验证,模型计算结果与实验结果基本一致。研究结果表明,降低电极和渣中初始硫含量、增加渣量、提高硫容量、降低电极下降速度均有利于提高脱硫率。基于研究结果推导出模型简化公式,可直接近似求解重熔锭不同质量处的硫含量。

     

    Abstract: During the industrial-scale argon P-ESR process, the accumulation of sulfur content removed from steel in melt slag will affect the efficiency of desulfurization reaction, causing a non-uniformity of sulfur content in the remelted ingot. Currently, research on electroslag desulfurization has been mainly conducted at a relatively small experimental scale, whose kinetic conditions is significantly different from the large-scale one so that its relevant research findings have its limitations on industrial applications. Therefore, this study established a desulfurization reaction model for industrial-scale electroslag remelting process. Its calculation results were basically consistent with the experimental ones, verified by a 3 t P-ESR experiment. The research results showed that reducing the initial sulfur content in the electrode and slag, increasing the slag volume and the sulfur capacity, and lowering the electrode descent speed are all conducive to improving the desulfurization ratio. A simplified formula of the model based on these research findings has been derived, which can be directly used to approximately calculate the sulfur content at different mass positions within the remelted ingot.

     

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