Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Artificial neural network modeling of heat transfer in a staggered cross-flow tube type heat exchanger
This paper presents the application of Artificial Neural Network (ANN) in modeling the heat transfer coefficient of a staggered multi-row, multi-column, cross-flow, tube-type heat exchanger. Heat transfer data were obtained experimentally for air flowing over a bank of copper tubes arranged in stagg...
Saved in:
| Format: | Article |
|---|---|
| Published: |
2008-11
|
| Tags: |
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000njm a2000000a 4500 | ||
|---|---|---|---|
| 001 | oai:repository.ui.edu.ng:123456789/1904 | ||
| 042 | |a dc | ||
| 720 | |a Fadare, D. A. |e author | ||
| 720 | |a Fatona, A. S. |e author | ||
| 260 | |c 2008-11 | ||
| 520 | |a This paper presents the application of Artificial Neural Network (ANN) in modeling the heat transfer coefficient of a staggered multi-row, multi-column, cross-flow, tube-type heat exchanger. Heat transfer data were obtained experimentally for air flowing over a bank of copper tubes arranged in staggered configuration with 5 rows and 4 columns at different air flow rates with throttle valve openings at 10 - 100%. The Reynolds number and the row number were used as input parameters, while the Nusselt number was used as output parameter in training and testing of the multi-layered, feed-forward, back-propagation neural networks. The network used in this study was designed using the MATLAB® Neural Network Toolbox. The results show that the accuracy between the neural networks predictions and experimental values was achieved with Mean Absolute Relative Error (MRE) less than 1 and 4% for the training and testing data sets respectively, suggesting the reliability of the networks as a modeling tool for engineers in preliminary design of heat exchangers. | ||
| 024 | 8 | |a 1551-7624 | |
| 024 | 8 | |a ui_art_fadare_artificial_2008 | |
| 024 | 8 | |a The Pacific Journal of Science and Technology 9(2), pp. 317-323 | |
| 024 | 8 | |a http://ir.library.ui.edu.ng/handle/123456789/1904 | |
| 245 | 0 | 0 | |a Artificial neural network modeling of heat transfer in a staggered cross-flow tube type heat exchanger |