Abstract A one-dimensional mathematical model for the drying process of calcium chloride solution in a co-current spray separation tower based on the four-stage drying model of single droplet is proposed. A corresponding pilot system is set up and the reliability of the model is validated by a series of experiments. The maximum relative errors of the mathematical model are within 10% and 15% while the average relative errors are 4.0% and 7.0% when predicting the outlet air temperature and humidity, respectively. The effects of inlet parameters on the heat and mass transfer characteristics of the spray separation tower at low temperature and normal pressure are evaluated as well. Simulation results show that air mass flow rate, inlet solution concentration and solution mass flow rate have greater effect on the thermal efficiency than other inlet parameters while the inlet solution concentration plays a pivotal role on the drying strength. The most significant factor on the volumetric heat transfer coefficient is the inlet solution concentration. Besides, the back propagation (BP) neural network model of the spray separation tower is also established on the basis of experimental data, and the comparison between the one-dimensional mathematical model and the BP neural network model is conducted in detail.

中文翻译：

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喷雾分离塔低温常压传热传质特性研究

摘要 基于单液滴四段干燥模型，提出了并流喷雾分离塔氯化钙溶液干燥过程的一维数学模型。建立了相应的试点系统，并通过一系列实验验证了模型的可靠性。数学模型的最大相对误差在10%和15%以内，平均相对误差分别为4.0%和7.0%。还评估了入口参数对喷雾分离塔在低温常压下传热传质特性的影响。仿真结果表明，空气质量流量，入口溶液浓度和溶液质量流量对热效率的影响大于其他入口参数，而入口溶液浓度对干燥强度起着关键作用。体积传热系数的最重要因素是入口溶液浓度。此外，还根据实验数据建立了喷雾分离塔的反向传播（BP）神经网络模型，并对一维数学模型与BP神经网络模型进行了详细的对比。