外流板式降膜蒸发器的传热性能——人工神经网络方法研究

Characteristics of Heat Transfer in an Out Flow Plate Type Falling Film Evaporator ——Artificial Neural Network Research

根据外流板式降膜蒸发器实验装置的传热实验数据，建立了传热元件板片温度分布的人工神经网络模型。在模拟结果的基础上，定义了一个蒸发侧液膜热阻在总热阻中的比率值Ｌｃ，此称为液膜热阻系数Ｌｃ值的分布，清楚地展示了传热元件板片上的热阻分布，并由此得出改善传热的若干启示。

Based on heat transfer data in experimental equipment of out flow plate type falling film evaporator,an artificial neural network model for temperature distribution on heating element plate is developed.According to modeling results,a liquid film heat transfer resistance coefficient L c is defined which is the ratio of the liquid side film heat transfer resistance to the total heat transfer resistance.The distribution of L c clearly shows the distribution of heat transfer transfer resistance on heating element plate and give some enlighten ment for improving ver heat transfer.