The mixing and drying behavior in a continuous fluidized bed dryer were investigated experimentally by characterizing the residence time distribution (RTD) and incorporating a micromixing model together with the drying kinetics obtained from batch drying. The RTD of the dryer was modeled using a tank‐in‐series model. It was found that a high initial material loading and a low material flow rate resulted in a reduced peak height and broaded peak width of the RTD curve. To predict the continuous dryer effluent moisture content, we combined: (a) the drying kinetics as determined in a batch fluidized bed dryer, (b) the RTD model, and (c) micromixing models—segregation and maximum mixedness models. It was found that the segregation model overpredicted the effluent moisture content by up to 5% for the cases we have studied while the maximum mixedness model gave a good prediction of the effluent moisture content.

中文翻译：

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连续流化床干燥：停留时间分布特征和废水含水量预测

通过表征停留时间分布（RTD）并结合微混合模型以及从分批干燥获得的干燥动力学，对连续流化床干燥机中的混合和干燥行为进行了实验研究。干燥机的RTD使用串联罐模型进行建模。已经发现，较高的初始物料装载量和较低的物料流速会导致RTD曲线的峰高降低和峰宽变宽。为了预测干燥机的连续水分含量，我们结合了：（a）在间歇流化床干燥机中确定的干燥动力学，（b）RTD模型，以及（c）微观混合模型-分离模型和最大混合模型。