Analysis of forced convection heat transfer to supercritical carbon dioxide inside tubes using neural networks
- 31 March 2003
- journal article
- Published by Elsevier BV in International Journal of Heat and Mass Transfer
- Vol. 46 (7), 1139-1154
- https://doi.org/10.1016/s0017-9310(02)00382-4
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Heat Transfer from Supercritical Carbon Dioxide in Tube Flow: A Critical ReviewHVAC&R Research, 1998
- Evaluating convective heat transfer coefficients using neural networksInternational Journal of Heat and Mass Transfer, 1996
- Kolmogorov's theorem and multilayer neural networksNeural Networks, 1992
- A neural network methodology for heat transfer data analysisInternational Journal of Heat and Mass Transfer, 1991
- The Transport Properties of Carbon DioxideJournal of Physical and Chemical Reference Data, 1990
- Multilayer feedforward networks are universal approximatorsNeural Networks, 1989
- Improved forced convective heat-transfer correlations for liquids inthe near-critical regionAIAA Journal, 1986
- Forced convective heat transfer to supercritical water flowing in tubesInternational Journal of Heat and Mass Transfer, 1972
- Forced convective heat transfer to turbulent CO2 in the supercritical regionInternational Journal of Heat and Mass Transfer, 1970
- Heat Transfer to Carbon Dioxide in the Immediate Vicinity of the Critical PointJournal of Heat Transfer, 1969