Simulation of Critical Flux through Adiabatic Capillary Tubes Based on Artificial Neural Network

Evaluating the critical flux in capillary tubes is the key to the research on flow characteristics in capillary tubes. The mathematical model of refrigerant flow through the capillary tubes was presented. The numerical solutions were obtained based on the program made. Data derived from capillary tube theoretical models were used as example collection to train the back propaganda(BP)network model in order to evaluate the critical flux through capillary tubes. The results are satisfactory. Compared with finite difference numerical computation method, the computation of the critical flux based on neural network is more useful to engineering design of capillary tubes.