篦冷机内高温水泥熟料温度难以在线测量,给篦冷机的控制与热回收优化带来困难。针对这一问题,提出一种基于多孔介质渗流换热理论的篦冷机内熟料层温度软测量模型,并针对此模型设计一种解析法和隐式差分法相结合的流热耦合求解算法。根据所提出的算法对软测量模型进行渗流-传热双向耦合求解,得到了篦冷机内高温水泥熟料由进料口至出料口的温度变化预测值。利用自主设计的试验平台进行高温熟料堆积体冷却试验,试验结果表明,仿真数据与试验数据的误差较小,所建模型对于篦冷机内水泥熟料温度具有较好的测量精度。
Since the temperature of high-temperature cement clinker in grate cooler is very difficult to be measured on line, the control of grate cooler, as well as the heat recovery optimization, have become a big challenge to researchers. In order to solve this problem, a temperature soft-sensing model for clinker layer in grate cooler based on the seepage heat transfer theory of porous media is proposed . Then a flow thermal coupling algorithm is designed to solve the model by combining analytical method and implicit difference method skillfully. Thus the temperature change predictive value of high-temperature cement clinker from inlet to outlet in grate cooler can be gained since the soft-sensing model is solved by the algorithm in the two-way coupling of seepage and heat transfer. Besides, an experimental platform is designed independently to test the cooling tendency for high-temperature clinker accumulation body. The results show that the simulated data is relatively close to the experimental data and the soft-sensing model has a high measurement accuracy for the temperature of cement clinker in grate cooler.
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