Correlating heat transfer and friction in helically-finned tubes using artificial neural networks
- 1 November 2007
- journal article
- research article
- Published by Elsevier BV in International Journal of Heat and Mass Transfer
- Vol. 50 (23-24), 4713-4723
- https://doi.org/10.1016/j.ijheatmasstransfer.2007.03.043
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Improved Heat Transfer Correlation in the Transition Region for a Circular Tube with Three Inlet Configurations Using Artificial Neural NetworksHeat Transfer Engineering, 2004
- A new approach for the prediction of the heat transfer rate of the wire-on-tube type heat exchanger––use of an artificial neural network modelApplied Thermal Engineering, 2002
- The role of neural networks in fluid mechanics and heat transferPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Neural network analysis of fin-tube refrigerating heat exchanger with limited experimental dataInternational Journal of Heat and Mass Transfer, 2001
- Dynamic prediction and control of heat exchangers using artificial neural networksInternational Journal of Heat and Mass Transfer, 2001
- Heat Rate Predictions in Humid Air-Water Heat Exchangers Using Correlations and Neural NetworksJournal of Heat Transfer, 2000
- Simulation of Heat Exchanger Performance by Artificial Neural NetworksHVAC&R Research, 1999
- Applications of artificial neural networks in energy systemsEnergy Conversion and Management, 1999
- A neural network methodology for heat transfer data analysisInternational Journal of Heat and Mass Transfer, 1991
- Performances Cost Effectiveness, and Water-Side Fouling Considerations of Enhanced Tube Heat Exchangers for Boiling Service with Tube-Side Water FlowHeat Transfer Engineering, 1982