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A New Heat Transfer Correlation in the Transition Region for a Horizontal Pipe with a Reentrant Inlet –Using Artificial Neural Network
Afshin J. Ghajar1; Lap Mou Tam2; Sik Chung Tam3
2002
Source PublicationProceeding of the 12th International Heat Transfer Conference
ISSN2377-4371
Volume2
Abstract

Local heat transfer (under uniform wall heat flux condition) was measured along a 6.1 m long stainless steel horizontal circular straight tube with a reentrant inlet configuration. For the heat transfer measurements the Reynolds number varied from about 790 to 49940. In these experiments the test fluid was either distilled water or a mixture of ethylene glycol and distilled water, which gave a Prandtl number range from about 4 to 100. From the experimental data, it can be observed that the transition region for the reentrant inlet ranged from 1700 to 9100. Ghajar and Tam (1994) proposed heat transfer correlations for the laminar and turbulent flow regimes with excellent accuracy. The absolute average deviations are 5.8% and 3.7%, respectively. For the correlation in the transition region, the accuracy is not as accurate since more than 30% of the data were predicted with more than 10% deviation. The reason is due to the abrupt change in heat transfer characteristics in this flow regime. Since the value of heat transfer coefficient has direct impact on the size of heat exchangers, a more accurate correlation is developed using the artificial neural network (ANN). It has been shown that multilayer feedforward ANN's have universal approximation property according to Hornik et al. (1990) and Hornik (1991). The accuracy of the new correlation is excellent with 95.5% of the data points (421 data points) predicted with less than 10% deviation. The ANN method can also be used to establish the most and least important variables according to the form of the correlation.

DOIhttps://www.doi.org/10.1615/IHTC12.1280
Language英语
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Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF MATHEMATICS
DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Affiliation1.School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater, OK 74078, USA
2.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau, China; Institute for the Development and Quality, Macau SAR, China
3.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau, China
Recommended Citation
GB/T 7714
Afshin J. Ghajar,Lap Mou Tam,Sik Chung Tam. A New Heat Transfer Correlation in the Transition Region for a Horizontal Pipe with a Reentrant Inlet –Using Artificial Neural Network[J]. Proceeding of the 12th International Heat Transfer Conference,2002,2.
APA Afshin J. Ghajar,Lap Mou Tam,&Sik Chung Tam.(2002).A New Heat Transfer Correlation in the Transition Region for a Horizontal Pipe with a Reentrant Inlet –Using Artificial Neural Network.Proceeding of the 12th International Heat Transfer Conference,2.
MLA Afshin J. Ghajar,et al."A New Heat Transfer Correlation in the Transition Region for a Horizontal Pipe with a Reentrant Inlet –Using Artificial Neural Network".Proceeding of the 12th International Heat Transfer Conference 2(2002).
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