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基于模型的铁焦强度预测及其控制途径分析
Model-Based Ferro-Coke Strength Prediction and Analysis of Its Control Measures
【摘要】 为了预测、改善和控制铁焦的强度,通过6个配煤方案、72组炼焦试验,系统地研究了铁矿粉配比w、入炉煤堆积密度d、入炉煤挥发分质量分数w(Vdaf)和粘结指数G对铁焦强度的影响。在此基础上,以上述4个因素为参数建立了铁焦强度的预测模型。该模型揭示了各因素对铁焦强度的影响规律和各因素的适宜值,预测精度较高;根据预测模型分析了控制铁焦强度的途径。
【Abstract】 In order to predict,improve and control ferro-coke strength,and also to make clear the effect of various factors on ferro-coke strength,systematic study on the effect of various factors on ferro-coke strength was carried out by means of 72 runs of test for 6blending schemes,factors including iron ore powder ratio w,bulk density dof coal charge,volatile content w(Vdaf)and caking index Gof coal charge etc.On the basis of the study,prediction models of ferro-coke strength were proposed with the 4factors(w,d,w(Vdaf),G)as input variables.The models reveal the intrinsic rules of the influence ferro-coke strength by various factors and suggest optimal values of various factors and make prediction with higher accuracies.And the control measures of ferro-coke strength were analyzed according to the models.
【Key words】 ferro-coke; ferro-coke strength; prediction models; iron ore powder ratio; bulk density; caking index;
- 【文献出处】 太原理工大学学报 ,Journal of Taiyuan University of Technology , 编辑部邮箱 ,2017年01期
- 【分类号】TQ520.6
- 【被引频次】2
- 【下载频次】126