摘要
应用BP神经网络,建立了一种新的板式热交换器传热与流阻性能预测模型。它利用BP神经网络的函数拟合能力,通过拟合板式热交换器单板传热面积、板片厚度、波纹深度、波纹节距及波纹夹角等参数,来预测板式热交换器的传热系数、冷热侧压力降和传热准则关联式,对板式热交换器的传热与流阻性能做出综合评价。
The method of neural network was used to establish a new model of predicting the heat exchanger performance and pressure drop characteristics of plate heat exchanger. The func- tion fitting ability of BP neural network was utilized by fitted specific isoperimetric, such as nomi- nal plate area, plate thickness, chevron depth, normal pitch, plate chevron angle, and so on. This method was used to predict the heat exchanging modulus K, pressure drops of both cold and hot sides and rule equation in plate heat exchangers. It provided a new higher precision method for e- valuating the synthesis performance of plate heat exchanger.
出处
《石油化工设备》
CAS
2010年第2期1-5,共5页
Petro-Chemical Equipment
关键词
板式热交换器
神经网络
性能预测
传热系数
准则关联式
plate heat exchanger
neural network
performance prediction
heat transfer coefficient
rule equation
