Abstract: In actual sintering process,ratios of coal are widely determined by experience.Meanwhile,the consumption models of coal built from many sintering experiments and statistics are too complicated to apply in sintering process.This paper proposed a minimal coke consumption calculating method.Firstly,a BPNN temperature field model of different BTP(burning through point)and thickness is worked out according to isotherm data from actual sintering process.Secondly,the samples of the relationship between BTP,thickness and energy consumption for temperature rising are found and LS-SVM algorithm is applied to build the model due to these characteristics.The energy consumptions of carbonate decomposition and water evaporation are calculated by analyses of physical and chemical changes.Finally,the minimal coke consumption is worked out by coke combustion release process analysis.The simulation and actual sintering data show that the result of this paper reflects the actual need of minimal coke consumption in sintering process and this calculating method can guide the actual production process.

Key words: sintering burden, coke consumption, temperature field, BPNN, LS-SVM

摘要： 提出了一种烧结过程焦粉最低配比计算方法。首先针对不同烧结终点位置、料层厚度的料层等温线数据建立烧结料层侧面温度场BP神经网络(back propagation neural network,BPNN)模型;然后采用最小二乘支持向量机(least squares support vector machine,LS-SVM)算法建立烧结终点位置、料层厚度等烧结过程状态变量与料层蓄热所需能量之间的关系模型;通过对烧结过程中主要物理、化学反应的分析,计算得到了水分蒸发与碳酸盐分解过程需要热量;最后通过对碳转换形式进行分析,计算得到烧结配料过程焦粉最低配比。仿真实验和工业实际数值算例表明,提出的焦粉最低配比计算方法能有效地反映实际生产所需的最低焦粉配比,从而为烧结过程节能减排提供重要的数值依据。

关键词: 烧结配料, 焦粉配比, 温度场, BP神经网络, 最小二乘支持向量机