The interaction between the cerium and tin in steel was studied by vacuum induction melting, Xray diffraction, optical microscopy, electronic probe microscopy analysis, and microhardness tester.

采用中频真空感应熔炼炉、X射线衍射仪、金相显微镜、电子探针、显微硬度计等实验分析方法，研究了稀土金属铈与低熔点金属锡在钢中的相互作用。

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The relationships of cleanness, undercooling and grain size of low carbon steel have been investigated by using of vacuum glass encasement levitation melting.

利用玻璃包熔真空悬浮熔炼等手段研究低碳钢的纯净度、过冷度与晶粒度之间的关系研究表明：随着包熔次数增加，钢中夹杂物含量减少，纯净度提高。

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A prediction model of molten steel temperature based on RBF neural network was developed to reduce cost and improve temperature control accuracy for vacuum induction melting.

针对真空感应炉生产过程中温度测量成本较高及精度较差等不足，建立了基于RBF神经网络的真空感应炉终点钢水温度预报模型。

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