镁质熔剂性球团抗压强度研究

Study on compressive strength of magnesia fluxed pellets

为改善镁质熔剂性球团矿质量,以某钢厂铁精粉为原料,进行了造球焙烧实验。首先分析了单因素对球团矿抗压强度的影响,然后通过正交实验方法来设计实验方案,利用偏相关分析,剔除次要因素,最后建立了数学模型。结果表明:MgO含量与SiO_2含量每提高0. 1%,球团矿抗压强度分别降低99. 45 N/P、9. 74 N/P;碱度每提高0. 1,球团矿抗压强度降低115. 45 N/P;通过偏相关分析得到,SiO_2含量和研山配比与球团矿抗压强度相关性较小,可以剔除;利用SPSS软件建立了MgO含量、碱度、焙烧温度、高温段焙烧时间与球团抗压强度的回归模型,并利用5组数据对模型进行了验证,预测值和实验值平均误差为3. 1%,为改善镁质熔剂性球团提供了参考。

In order to improve the quality of magnesia fluxed pellets, the pelletizing roasting experiment was carried out with the iron ore concentrate fines of a steel plant as raw materials. Firstly, the effect of single factor on the compressive strength of the pellets was analyzed, then the experiment scheme was designed through the orthogonal experimental method, the secondary factors were eliminated using partial correlation analysis, and finally the mathematical model was established. The results show that, when MgO content and SiO2 content increase by 0. 1% every time, the compressive strength will decrease by 99.45 N/P and 9.74 N/P respectively, and when the basieity increases by O. 1 every time, the compressive strength of the pellet decreases by 115.45 N/P. Through partial correlation analysis, the SiO2 content and the proportion of the Yanshan ores are less correlated with the compressive strength of the pellets, and they can be eliminated. The regression model of MgO content, basieity, roasting temperature, roasting time and the compressive strength of pellets was established by SPSS software. The model was validated by 5 sets of data, and the average error of predicted value and experiment value was 3. 1%, which provides the reference for improving the magnesia fluxed pellets.