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dc.contributor.authorMohd Fairusham, Ghazali
dc.contributor.authorMohd Fadzil, Abd Rahim
dc.date.accessioned2013-08-05T01:40:10Z
dc.date.available2013-08-05T01:40:10Z
dc.date.issued2012-11-20
dc.identifier.citationp. 273-279en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/27376
dc.descriptionMalaysian Technical Universities Conference on Engineering and Technology (MUCET) 2012 organised by technical universities under the Malaysian Technical Universities Network (MTUN), 20th - 21st November 2012 at Hotel Seri Malaysia, Kangar, Perlis, Malaysia.en_US
dc.description.abstractThe cooling system of gas turbine blades understanding and improvement is increasing desires for computational techniques which can accurately model the flow field and heat transfer characteristics of blade cooling passage designs under realistic operating conditions. The present study discusses the comparisons between modeling and measuring gas turbine blade-cooling applications of the flow development and heat transfer in a stationary square cross-sectioned U-bend of strong curvature of Rc/D = 0.65. A turbulence model of the differential stress model (DSM) is used in combination with three different wall treatments such as a standard form of the wall function (SWF), an analytical wall function (AWF) and a numerical wall function (NWF). The combination of DSM with the numerical wall function (DSM/NWF) has improved markedly the Nusselt number predictions along the outer wall after the bend exit, but did not show any other distinctive predictive advantages over the other DSM models.en_US
dc.language.isoenen_US
dc.publisherMalaysian Technical Universities Network (MTUN)en_US
dc.relation.ispartofseriesProceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2012en_US
dc.subjectGas Turbine Bladeen_US
dc.subjectNumerical wall function and nusselt numberen_US
dc.subjectDifferential stress modelen_US
dc.titleCFD prediction of heat and fluid flow through U-bends using high reynolds-number EVM and DSM modelsen_US
dc.typeWorking Paperen_US
dc.contributor.urlfairusham@ump.edu.myen_US
dc.contributor.urlmfadzil@ump.edu.myen_US


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