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为了有效解决赤铁矿球团焙烧能耗高的难题,对赤铁矿球团进行内配兰炭处理并利用响应曲面法对球团焙烧工艺进行了优化试验研究。通过单因素试验确定主要影响因素和水平,对内配兰炭赤铁矿球团各影响因素进行Box-Behnken设计,建立了用于球团抗压强度预测的多元回归模型,并对焙烧温度、焙烧时间、空气流量、兰炭配比以及它们之间的交互作用进行了研究和优化。得到最佳焙烧工艺,焙烧温度为1 292℃,焙烧时间为18.5 min,空气流量为3.2 L/min,兰炭配比为1.5%。最佳条件下的内配兰炭赤铁矿球团抗压强度为2 578.3 N,与响应目标值2 500 N相近,相对误差仅为3.13%,表明响应曲面法预测模型具有准确性和可靠性。
In order to effectively solve the problem of high energy consumption of hematite pellets roasting, hematite pellets were treated with carbon blue and the response surface method was used to optimize the pellet roasting process. Through the single-factor test to determine the main factors and levels, the Box-Behnken design was used to determine the influencing factors of the hematite pellets with the hematite. The multivariate regression model was established for predicting the compressive strength of the pellets. The influence of the calcination temperature, Roasting time, air flow rate, the proportion of blue carbon and the interaction between them were studied and optimized. The optimum calcination process was obtained. The calcination temperature was 1 292 ℃, the calcination time was 18.5 min, the air flow rate was 3.2 L / min and the ratio of blue carbon to 1.5%. Under the optimal conditions, the compressive strength of the collocated hematite pellets was 2 578.3 N, which was close to the response target value of 2 500 N with a relative error of only 3.13%, indicating that the response surface prediction method is accurate and reliable .