Performance Evaluation of Small-channel Pulsating Heat Pipe Based on Dimensional Analysis and ANN Model

作     者：Xuehui Wang Edward Wright Zeyu Liu Neng Gao Ying Li 

作者机构：Fluids and Thermal Engineering Research GroupFaculty of EngineeringUniversity of NottinghamNottinghamNG72RDUK Ningbo Tech UniversityNingbo315100China Research Centre for Fluids and Thermal EngineeringUniversity of Nottingham Ningbo ChinaNingbo315100China 

出 版 物：《Energy Engineering》 (能源工程（英文）)

年 卷 期：2022年第119卷第2期

页      面：801-814页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work is funded by National Natural Science Foundation of China(No.51906216) 

主　　题：Pulsating heat pipe oscillation heat transfer correlation ANN model 

摘      要：The pulsating heat pipe is a very promising heat dissipation device to address the challenge of higher heat-flux electronic chips,as it is characterised by excellent heat transfer ability and flexibility for *** boost the application of PHP,reliable heat transfer performance evaluationmodels are especially *** this paper,a heat transfer correlation was firstly proposed for closed PHP with various working fluids(water,ethanol,methanol,R123,acetone)based on collected experimental *** analysis was used to group the *** was shown that the average absolute deviation(AAD)and correlation coefficient(r)of the correlation were 40.67%and 0.7556,*** 95%of the data,the prediction of thermal resistance and the temperature difference between evaporation and condensation section fell within 1.13K/Wand 40.76K,***,an artificial neural networkmodelwas also *** ANN model showed a better prediction accuracy with a mean square error(MSE)and correlation coefficient(r)of 7.88e-7 and 0.9821,respectively.