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| A Model for Predicting Inclusion Content of Steel in the Process of RH Treatment |
| qin-zhe SUN Yan-Hui |
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Abstract Based on the industrial production data about ultra-low-carbon Al-killed steel produced by RH(300t ladle) vacuum treatment, a prediction model is built for total oxygen content, namely the quantity of inclusions in steel in RH process. Different influence factors are considered such as: initial oxygen content [O]0，(FeO+MnO)% in slag, flow rate of argon blowing, vacuum degree, treatment time and so on. The error between the calculated values and the measured values is ±3.5~8%, which indicates that this model is reliable. It has a certain guidance to the practical production that analyzing the influences of technological factors in RH process on the total oxygen content in molten steel by this model.
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Received: 19 November 2008
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2009, Vol. 44 
