【摘要】 采用自然陈化方法处理热闷钢渣,跟踪检测热闷钢渣中游离氧化钙(f-CaO)含量。运用灰色预测模型和三次指数平滑模型,建立基于灰色理论的三次指数平滑模型(GM-ESIII预测模型)预测热闷钢渣自然陈化中f-CaO含量。结果表明,自然陈化方法处理热闷钢渣可以有效降低f-CaO含量,即S热闷钢渣150 d之后f-CaO含量从9. 41%下降至6. 01%且基本维持在6. 00%左右,N热闷钢渣160 d之后f-CaO含量从5. 83%下降至2. 64%且基本维持在2. 65%左右; GM-ESIII预测模型的预测数据与试验数据吻合较好,相对误差为-2. 149%～1. 894%,有效提高了热闷钢渣自然陈化中f-CaO含量预测精度;同时GM-ESIII预测模型中平滑系数与初始f-CaO含量的相关性较小,与f-CaO含量变化趋势的相关性较大。更多还原

【Abstract】 Natural aging method was used to deal with hot disintegration steel slag,content of free calcium (f-CaO) in hot disintegration steel slag was traced and checked. Cubic exponential smoothing prediction model based on grey theory (GM-ESIII prediction model) was established by grey prediction model and cubic exponential smoothing prediction model to forecast the f-CaO content of hot disintegration steel slag in natural aging. The results indicate that f-CaO content of hot disintegration steel slag was effective reduced by natural aging method,namely f-CaO content in S hot disintegration steel slag dropped from9. 41% to 6. 01% and was basically maintained at about 6. 00%,f-CaO content in N hot disintegration steel slag dropped from 5. 83% to 2. 64% and was basically maintained at about 2. 65%. GM-ESIII prediction model predicted data agree well with the experimental data, the relative error is-2. 149%-1. 894%,it can increase the prediction accuracy efficiently of the f-CaO content of hot disintegration steel slag in natural aging; at the same time,the smoothness coefficient is less correlated with the initial f-CaO content,and more correlated with the variation trend of f-CaO content in GM-ESIII prediction model.更多还原