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Simulation of heat exchanger performance by artificial neural networks.

Author(s) : DIAZ G., YANG K. T., SEN M., MCCLAIN R. L.

Type of article: Article

Summary

For the simplest problem of one-dimensional heat conduction with linear activation function, it is possible to give physical meaning to the synaptic weights of the network. A network with sigmoid activation function was used for non-linear representation of convection problems where identification of the weights with physical variables was not possible. Two cases of convective heat transfer with one and two heat transfer coefficients and artificially generated data were examined. Finally, the method was applied to the analysis of data obtained in the laboratory for a single-row, fin-tube heat exchanger.

Details

  • Original title: Simulation of heat exchanger performance by artificial neural networks.
  • Record ID : 2000-0136
  • Languages: English
  • Source: HVAC&R Research - vol. 5 - n. 3
  • Publication date: 1999/07
  • Document available for consultation in the library of the IIR headquarters only.

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