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

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