Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2067
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMukherjee, Sayantan-
dc.contributor.authorAljuwayhel, Nawaf F-
dc.contributor.authorBal, Sasmita-
dc.contributor.authorMishra, Purna Chandra-
dc.contributor.authorAli, Naser-
dc.date.accessioned2023-11-20T12:48:58Z-
dc.date.available2023-11-20T12:48:58Z-
dc.date.issued2022-04-22-
dc.identifier.citationVol. 15, No. 9en_US
dc.identifier.issn1996-1073-
dc.identifier.urihttps://doi.org/10.3390/en15093073-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2067-
dc.description.abstractEntropy generation is always a matter of concern in a heat transfer system. It denotes the amount of energy lost as a result of irreversibility. As a result, it must be reduced. The present work considers an investigation on the turbulent forced convective heat transfer and entropy generation of Al2O3-Ethylene glycol (EG) nanofluid inside a circular tube subjected to constant wall temperature. The study is focused on the development of an analytical framework by using mathematical models to simulate the characteristics of nanofluids in the as-mentioned thermal system. The simulated result is validated using published data. Further, Genetic algorithm (GA) and DIRECT algorithm are implemented to determine the optimal condition which yields minimum entropy generation. According to the findings, heat transfer increases at a direct proportion to the mass flow, Reynolds number (Re), and volume concentration of nanoparticles. Furthermore, as Re increases, particle concentration should be decreased in order to reduce total entropy generation (TEG) and to improve heat transfer rate of any given particle size. A minimal concentration of nanoparticles is required to reduce TEG when Re is maintained constant. The highest increase in TEG with nanofluids was 2.93 times that of basefluid. The optimum condition for minimum entropy generation is Re = 4000, nanoparticle size = 65 nm, volume concentration = 0.2% and mass flow rate = 0.54 kg/s.en_US
dc.language.isoenen_US
dc.publisherEnergiesen_US
dc.subjectNanofluiden_US
dc.subjectEntropy generationen_US
dc.subjectOptimizationen_US
dc.subjectGenetic algorithmen_US
dc.subjectDIRECT algorithmen_US
dc.titleModelling, Analysis and Entropy Generation Minimization of Al2O3-Ethylene Glycol Nanofluid Convective Flow inside a Tubeen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles

Files in This Item:
File Description SizeFormat 
energies-15-03073-v3.pdf
  Restricted Access
6.11 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.