基于上升管压力脉动标准差快速预报喷动床颗粒聚团现象

摘要

为了快速有效地预测喷动床颗粒聚团现象，采用了上升管压力测点脉动标准差的方法进行了喷动床颗粒聚团现象的预报研究。在喷动床上升管的不同标高位置布置压力测点，每一测点的下方设有清洗气流，避免了颗粒对压力测点产生堵塞，通过调节通带滤波的频率界限，保证了压力的准确测量。实验研究发现，在较低的表观气速下，上升管压力脉动的标准差与表观气速存在线性关系并服从卡方分布，基于以上发现提出了上升管压力脉动标准差预报颗粒聚团发生率的关系式模型。通过上升管压力脉动标准差预报方法与常规的平均压力降预报方法的对比发现，上升管压力脉动标准差预报方法在预报颗粒的聚团现象时具有较高的表观气速识别率和较小的响应时间，实现了喷动床颗粒聚团现象的快速预报。%For forecasting the particle agglomerate in spouted beds quickly and effectively, the phenomena of particle agglomerate in a spouted bed was studied by pressure pulsation standard deviation method of pressure measuring points located at different level positions in the riser tube. Each point below was equipped with purge air to avoid the particle agglomerate on the pressure measuring point by adjusting the frequency of the bandpass filter for guaranteeing the accuracy of pressure measurement. The experimental results show that the riser tube pressure pulsation standard deviation has a linear relationship with the superficial gas velocity and obey the chi-square distribution under the low superficial gas velocity. Then a model of riser tube pressure pulsation standard deviation forecast the incidence of particle agglomerate is proposed. By comparing riser tube pressure pulsation standard deviation forecast method with conventional average pressure drop forecast method found, riser tube pressure pulsation standard deviation has higher superficial gas velocity recognition rate and less response time when the particle agglomerate achieves the spouted bed fast forecast of particle agglomerate phenomenon.