Research on temperature performance prediction of vortex tubes based on artificial neural networks
Zhihong Han,
Shenshen Li,
Shuyang Liu
et al.
Abstract:This study constructs a hybrid neural network model by integrating the physical constraints of the Bernoulli equation and Nikolaev's formula. The model is designed to explore and predict the variation pattern of the cold end temperature in a vortex tube. The input parameters include inlet pressure, inlet temperature, and cold mass fraction, with the cold end temperature as the output parameter. The network employs a multilayer feedforward model and the Levenberg-Marquardt learning algorithm, using a hyperbolic… Show more
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