We consider the flow of humid air over fin-tube multi-row multi-column compact heat exchangers with possible condensation. Previously published experimental data are used to show that a regression analysis for the best-fit correlation of a prescribed form does not provide an unique answer, and that there are small but significant differences between the predictions of the different correlations thus obtained. It is also shown that it is more accurate to predict the heat rate directly rather than through intermediate quantities like the j-factors. The artificial neural network technique is offered as an alternative technique. It is trained with experimental values of the humid-air flow rates, dry-bulb and wet-bulb inlet temperatures, fin spacing, and heat transfer rates. The trained network is then used to make predictions of the heat transfer. Comparison of the results demonstrates that the neural network is more accurate than conventional correlations.
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Heat Rate Predictions in Humid Air-Water Heat Exchangers Using Correlations and Neural Networks
Arturo Pacheco-Vega,
Arturo Pacheco-Vega
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556
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Gerardo Dı´az,
Gerardo Dı´az
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556
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Mihir Sen,
Mihir Sen
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556
E-mail: Mihir.Sen.1@nd.edu
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K. T. Yang,
K. T. Yang
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556
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Rodney L. McClain
Rodney L. McClain
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556
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Arturo Pacheco-Vega
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556
Gerardo Dı´az
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556
Mihir Sen
E-mail: Mihir.Sen.1@nd.edu
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556
K. T. Yang
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556
Rodney L. McClain
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556
Contributed by the Heat Transfer Division for publication in the JOURNAL OF HEAT TRANSFER. Manuscript received by the Heat Transfer Division January 12, 2000; revision received October 3, 2000. Associate Editor: R. Mahajan.
J. Heat Transfer. Apr 2001, 123(2): 348-354 (7 pages)
Published Online: October 3, 2000
Article history
Received:
January 12, 2000
Revised:
October 3, 2000
Citation
Pacheco-Vega , A., Dı´az , G., Sen, M., Yang , K. T., and McClain, R. L. (October 3, 2000). "Heat Rate Predictions in Humid Air-Water Heat Exchangers Using Correlations and Neural Networks ." ASME. J. Heat Transfer. April 2001; 123(2): 348–354. https://doi.org/10.1115/1.1351167
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