Prediction of heat transfer in a circular tube with aluminum and Cr-Ni alloy pins using artificial neural network

Berber A., Gürdal M., Bağırsakçı K.Berber, A, Gurdal, M, Bagirsakci, K2023-05-092023-05-092020-01-012021.01.010891-6152https://hdl.handle.net/20.500.12597/13176This work aims to estimate the experimental heat transfer coefficients of a circular channel using artificial neural network. The experiments are carried out at a forced turbulent flow regime of 10,000 < Re <50,000. The obtained experimental Nusselt numbers are compared using the ANN (Artificial Neural Network). In the developed ANN structure are showed mean square error (MSE), average relative deviation (ARD %), and correlation coefficient (R2) in modeling of overall experimental datasets of Nusselt number. As a result, it is observed that the heat transfer correlation predicted by ANN are sufficiently consistent with the experimental results.falseartificial neural network [ANN) | forced convection | Heat transfer | pin | turbulent flowPrediction of heat transfer in a circular tube with aluminum and Cr-Ni alloy pins using artificial neural networkPrediction of heat transfer in a circular tube with aluminum and Cr-Ni alloy pins using artificial neural networkArticle10.1080/08916152.2020.179382610.1080/08916152.2020.17938262-s2.0-85088295373WOS:000550706700001547563341521-0480