焦炭热性质的预测及影响因素分析  

Prediction of Coke Thermal Properties and Analysis of Influencing Factors

作　　者：史世庄[1] 吴琼[1] 毕学工[2] 张慧轩[2] 孙超祺[1] 鲁帅[1] 

机构地区：[1]武汉科技大学湖北省煤转化与新型炭材料重点实验室,湖北武汉430081 [2]武汉科技大学钢铁冶金及资源利用省部共建教育部重点实验室,湖北武汉430081

出　　处：《钢铁》2013年第9期8-15,共8页Iron and Steel

基　　金：国家自然科学基金资助项目(51174149)

摘　　要：为了预测、改善或根据需要调节焦炭的热性质,同时摸清各种因素对焦炭热性质的影响,通过16个配煤方案、96组的炼焦试验,在探讨各因素影响规律的基础上,以煤化度指标(Vdaf)、黏结性指标(G和Y)、催化指数(MCI)和堆积密度(d)为参数,建立了焦炭热性质的预测模型;模型综合考虑了常规炼焦和捣固炼焦2种生产工艺,揭示了各因素对焦炭热性质影响的内在规律、各因素的最佳值及焦炭热性质所能达到的最佳值;模型精度高、适应性强,既可用于常规炼焦又可用于捣固炼焦;并分析了各因素的影响及改善焦炭热性质的途径以及高反应性铁焦的开发方法。In order to predict, improve and regulate the thermal properties of coke in accordance with the demands, and also to make clear the effect of various factors on the thermal properties, prediction models of coke thermal properties were proposed on the basis of analysis of influence rules of the various factors and by means of ninety six runs of test for sixteen blending schemes, using bulk density （d）, eoalification degree index （Vail）, caking property indices （G and Y） and mineral catalytic index （MCI） as input variables. The models simultaneously concern the two kinds of coke making processes, i.e. coal topcharging and coal side-charging, reveal intrinsic rules of influencing coke thermal properties by various factors, determine the optimal value of various factors and the best attainable val- ue of coke thermal properties. The models make prediction with higher accuracies, apply to wider areas, and could be used not only to the traditional coke making process hut also to the tamping coke making process. The impact of various factors, ways to improve coke thermal properties and the method of ferro-coke development were also analyzed.

关 键 词：焦炭热性质 预测模型 铁焦 

分 类 号：TF526.1[冶金工程—钢铁冶金]