TY - JOUR
TI - Modeling the outlet temperature in heat exchangers: Case study
AU - Bărbulescu Alina
AU - Barbeș Lucica
JN - Thermal Science
PY - 2021
VL - 25
IS - 1
SP - 591
EP - 602
PT - Article
AB - This article presents the results of the study of the heat transfer in a heat ex-changer where the working fluid is the crude oil prepared for desalination, and the thermic agent is the re-circulating heavy gasoline fraction. Firstly, the Reynolds numbers have been computed using the temperatures and flow rates of the fluids as input variables. Then, general regression neural network and multi-layer perceptron were used for the outlet temperatures estimation using the inlet temperatures and the Reynolds numbers as input variables. The best models on the training dataset were obtained utilizing a multilayer perceptron with one hidden layer, while the best performance on the validation dataset was obtained using a multilayer perceptron network with two hidden layers.