化工学报2003，Vol.54Issue(9)：1319-1322,4.
基于神经网络的振荡热管传热性能建模
HEAT TRANSFER PERFORMANCE MODEL OF PULSATING HEAT PIPE BASED ON NEURAL NETWORK
摘要
Abstract
This paper presents artificial neural network (ANN) modeling of heat transfer performance for a pulsating heat pipe (PHP). The investigated PHP is a vertical closed loop copper/ethanol PHP. Fully connected multi-layer feed forward network is adopted and back propagation momentum algorithm, sigmoid node function are used. In the network, two input nodes correspond to heat load and fill rate and the output is a single node for thermal resistance. The matching of the ANN test output data and the experimental data is satisfying. It can be inferred that the ANN model can be applied to accurately model PHP performance.关键词
振荡热管/神经网络/热阻Key words
pulsating heat pipe/neural network/thermal resistance分类
能源科技引用本文复制引用
崔晓钰,翁建华,M．GROLL..基于神经网络的振荡热管传热性能建模[J].化工学报,2003,54(9):1319-1322,4.基金项目
德国 Deutsche Forschungsgemeinschaft (DFG) 资助(No.GR412/33-1)及上海市重点学科建设资助项目. （DFG）
