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Heat transfer analysis using artificial neural networks of the spirally fluted tubes |
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| รหัสดีโอไอ | |
| Creator | P. NAPHON and T. ARISARIYAWONG |
| Title | Heat transfer analysis using artificial neural networks of the spirally fluted tubes |
| Publisher | Thai Society of Mechanical Engineers |
| Publication Year | 2559 |
| Journal Title | Journal of Research and Applications in Mechanical Engineering |
| Journal Vol. | 4 |
| Journal No. | 2 |
| Page no. | 135 -147 |
| Keyword | Artificial neural network, spirally fluted tube, heat transfer and pressure drop |
| ISSN | 2229-2152 |
| Abstract | The optimal artificial neural network model for predicting the heat transfer coefficient and friction factor of the spirally fluted tube is considered. The experiment, nine test sections with different characteristic parameters of: helical rib height-to-diameter, ?/di = 0.12, 0.15, 0.19 and helical rib pitch-to-diameter, p/di = 1.05, 0.78, 0.63 are tested. The developed artificial neural network model shows the mean square error (MSE) of 0.0123 and the correlation coefficient (R) of 1.00 in modeling of overall experimental data set. The predicted results obtained from the optimize ANN model are verified with the testing experimental data and good agreement is obtained with errors of ?2.5%, ?15% for the Nusselt number and friction factor, respectively. In addition, the optimal ANN model results are found to be more accurate than the predicted results obtained from the published correlation. |
