In order to reduce the melting temperature and viscosity of dephosphorized slag, many metallurgical workers added CaF2 as the melting agent, but fluorine ion was very harmful to the environment, and it eroded the lining of the furnace, and dephosphorized slag was difficult to be reused. Therefore, for the sake of solving the above problems, it was necessary to explore a new fluorine-free or low-fluorine dephosphorizer. Boron element were beneficial to the plant, the choice of B2O3 dephosphorization slag flux, the better preparation of fertilizer by the dephosphorization slag. Boron resources were rich in our country, therefore, in the hot metal dephosphorization, B2O3 can displace CaF2. In order to systematically study the melting temperature and the comprehensive effect of viscosity characteristics of iron water pre-melting dephosphorized slag, the melting temperature and viscosity of CaO?SiO2?FeO?B2O3?MnO pre-melting dephosphorization slag of type of fluorine-free were calculated and the influence law of alkalinity and composition ratio on melting temperature and viscosity of dephosphorization slag seeking reasonable dephosphorization slag into distribution ratio and control interval, suitable bath temperature were investigated by using FactSage simulation software and the modified Einstein?Roscoe formula. The alkalinity and composition ratio was optimized by orthogonal analysis, variance analysis and main effect analysis. The results showed that the viscosity of the slag decreased with the increase of alkalinity, FeO content and flux content. At 1400℃, the optimum ratio were alkalinity of 4.0, the content of B2O3 9%, MnO of 10%, FeO of 45%. By caclution, the melting temperature was 1195.51℃ and the viscosity was 0.207 Pa×s. By the experimental verification, the measured melting temperature was 1192.21℃, the viscosity was 0.199 Pa×s. After comparison, the calculated date was similar to the measured data. It was known that the orthogonal method had its rationality and accuracy in the actual production process. Based on the analysis results, the optimal combination of slag components was selected to provide theoretical basis and data support for the dephosphorization production of steelmaking.
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