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Improved heat transfer correlation in the transition region for a circular tube with three inlet configurations using artificial neural networks
AFSHIN J. GHAJAR1; LAP MOU TAM2; SIK CHUNG TAM3
2004
Source PublicationHeat Transfer Engineering
ISSN0145-7632
Volume25Issue:2Pages:30-40
Abstract

Local forced and mixed heat transfer coefficients were measured by Ghajar and Tam [5] in a horizontal circular straight tube fitted with reentrant, square-edged, and bell-mouth inlets under uniform wall heat flux boundary condition. For the experiments, the Reynolds, Prandtl, and Grashof numbers varied from about 280 to 49000, 4 to 158, and 1000 to 2.5 × 105, respectively. The heat transfer transition regions were established by observing the change in the heat transfer behavior. The data in the transition region were correlated by using the traditional least squares method. The correlation predicted the transitional data with an average absolute deviation of about 8%. However, about 30% of the data in the transition region were predicted with 10–20% deviation, and about 3% with deviations greater than 20%. This is due to the abrupt change in the heat transfer characteristic and its intermittent behavior in this region. Since the value of the heat transfer coefficient has a direct impact on the size of the heat exchanger, a more accurate correlation has been developed using artificial neural networks. A total of 1290 data points (441 for reentrant, 416 for square-edged, and 433 for bell-mouth) were used. The accuracy of the improved heat transfer correlation is excellent, with the majority of the data points predicted with less than 5% deviation. 

DOIhttps://doi.org/10.1080/01457630490276097
URLView the original
Indexed BySCI
Language英语
WOS Research AreaThermodynamics ; Engineering ; Mechanics
WOS SubjectThermodynamics ; Engineering, Mechanical ; Mechanics
WOS IDWOS:000188751300005
The Source to ArticleScopus
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Cited Times [WOS]:29   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
DEPARTMENT OF MATHEMATICS
Corresponding AuthorAFSHIN J. GHAJAR
Affiliation1.School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater, Oklahoma, USA
2.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau, China
3.Department of Mathematics, 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. Improved heat transfer correlation in the transition region for a circular tube with three inlet configurations using artificial neural networks[J]. Heat Transfer Engineering,2004,25(2):30-40.
APA AFSHIN J. GHAJAR,LAP MOU TAM,&SIK CHUNG TAM.(2004).Improved heat transfer correlation in the transition region for a circular tube with three inlet configurations using artificial neural networks.Heat Transfer Engineering,25(2),30-40.
MLA AFSHIN J. GHAJAR,et al."Improved heat transfer correlation in the transition region for a circular tube with three inlet configurations using artificial neural networks".Heat Transfer Engineering 25.2(2004):30-40.
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