基于卷积神经网络的微细通道热诊断方法研究

High power microwave has important application prospects in the field of electronic system damage such as satellite and aircraft. There is strong electromagnetic interference near the electron beam collector, so it is necessary to develop an indirect thermal diagnosis method that can predict the boiling heat transfer performance of mini-channels. In this paper, the sample database was established through the experimental results of mini-channel boiling heat transfer, and then a thermal diagnosis model based on convolutional neural network was proposed for mini-channels. The method was analyzed and validated.