炼铁工序铁素流的系统动力学分析
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摘要
运用系统动力学原理,采用因果关系和存量流量分析方法,在相对宏观的层面构建了钢铁生产流程炼铁工序的铁素流动态模型。仿真结果准确,验证了所建炼铁工序系统动力学模型的正确性并分析了不同返回情况下高炉铁素、铁水铁素流和损失铁素流的动态特性。计算结果表明:从物料投入高炉到铁水稳定输出时段,铁水铁素流随时间的增加而不断增大,然后逐渐趋于稳定,且铁水铁素流在炼铁初始时段增加速度最快;高炉铁素和损失铁素流均与本单元铁素流返回率呈正相关,且不随上游铁素流返回率的变化而改变;铁水铁素流与上游铁素流返回率、本单元铁素流返回率均呈负相关;上游铁素流返回率的增大会使铁水铁素流减小至新的稳定输出状态;本单元铁素流返回率的增大会使铁水铁素流先减小,然后逐渐增大至新的稳定输出状态。
A dynamic model for iron element flow of ironmaking process was established from relative macroscopic aspect based on system dynamics using the methods of causal loop diagrams and stock-flow diagrams. Accurate simulation results verified the correctness of the dynamics system which is applied to the ironmaking process. Moreover,the dynamic characteristics of iron element in blast furnace,iron element flow of molten iron and iron element loss flow were analyzed.The calculations showed that from raw material charged into blast furnace to molten iron stable output period, the iron element flow of molten iron which increased fastest in the initial period increased with the time and tended to be stable;the iron element in blast furnace and iron element loss flow were positively correlated with the iron element flow return rate of the unit and would not changed with the changes of the upstream iron element flow return rate;the iron element flow of molten iron was negatively correlated with the upstream iron element flow return rate and the iron element flow return rate of the unit; with the increase of the upstream iron element flow return rate,the iron element flow of molten iron decreased to a new stable output state;with the increase of the iron element flow return rate of the unit,the iron element flow of molten iron decreased first and then increased gradually to a new stable output state.
A dynamic model for iron element flow of ironmaking process was established from relative macroscopic aspect based on system dynamics using the methods of causal loop diagrams and stock-flow diagrams. Accurate simulation results verified the correctness of the dynamics system which is applied to the ironmaking process. Moreover,the dynamic characteristics of iron element in blast furnace,iron element flow of molten iron and iron element loss flow were analyzed.The calculations showed that from raw material charged into blast furnace to molten iron stable output period, the iron element flow of molten iron which increased fastest in the initial period increased with the time and tended to be stable;the iron element in blast furnace and iron element loss flow were positively correlated with the iron element flow return rate of the unit and would not changed with the changes of the upstream iron element flow return rate;the iron element flow of molten iron was negatively correlated with the upstream iron element flow return rate and the iron element flow return rate of the unit; with the increase of the upstream iron element flow return rate,the iron element flow of molten iron decreased to a new stable output state;with the increase of the iron element flow return rate of the unit,the iron element flow of molten iron decreased first and then increased gradually to a new stable output state.
引文
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[2]Yeh C P,Du S W,Tsai C H,et al.Numerical analysis of flow and combustion behavior in tuyere and raceway of blast furnace fueled with pulverized coal and recycled top gas[J].Energy,2012,42(1):233-240.
[3]Gharebaghi M,Irons R M,Pourkashanian M,et al.An investigation into a carbon burnout kinetic model for oxycoal combustion[J].Fuel Processing Technology,2011,92(12):2 455-2 464.
[4]Zhang Q,Gu Y L,Ti W,et al.Supply and demand forecasting of blast furnace gas based on artificial neural network in iron and steel works[J].Advanced Materials Research,2012,443:183-188.
[5]朱勇军,杨俊,王训富,等.宝钢4号高炉余热回收系统节能实践[J].矿冶工程,2012,32(1):65-68.
[6]周继程,张春霞,丁毅,等.马钢高炉炼铁工序能耗预测模型[J].钢铁研究学报,2011,23(2):30-34.
[7]薛正良.钢铁冶金概论[M].北京:冶金工业出版社,2010.
[8]王建军.钢铁企业物质流、能量流及其相互关系研究与应用[D].沈阳:东北大学,2008.