2017
DOI: 10.1016/j.applthermaleng.2016.09.057
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Numerical investigations of heat transfer and pressure drop characteristics in multiple jet impingement system

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Cited by 69 publications
(25 citation statements)
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“…The free jet region can be further divided into three regions: potential core region, developing zone and fully developed zone. 28) If the initial jet velocity Uo upon exiting increased to Umax within the potential core, then the velocity decreased beyond the potential core. At the stagnation point the pressure is higher than the ambient pressure, resulting in a favorable pressure gradient that turns the flow to a direction parallel to plate, forming the wall jet region.…”
Section: Heat Transfer Characteristics Of Moving Slit Jet Impingementmentioning
confidence: 99%
“…The free jet region can be further divided into three regions: potential core region, developing zone and fully developed zone. 28) If the initial jet velocity Uo upon exiting increased to Umax within the potential core, then the velocity decreased beyond the potential core. At the stagnation point the pressure is higher than the ambient pressure, resulting in a favorable pressure gradient that turns the flow to a direction parallel to plate, forming the wall jet region.…”
Section: Heat Transfer Characteristics Of Moving Slit Jet Impingementmentioning
confidence: 99%
“…In addition, Wen et al [16] confirmed the good accuracy of the SST k-ω model especially in the stagnation zones of the jets. A recent study performed by Penumadu & Rao [17] revealed that the heat transfer characteristics are well predicted by SST k-ω model, mainly due to its ability to handle accurately regions with high pressure gradients.…”
Section: Mathematical Model and Numerical Methodsmentioning
confidence: 98%
“…Ozmen & Ipek [ 9 ] demonstrated that Realizable k - ω turbulence model is capable to predict the flow and heat transfer characteristics with success in moderate values of nozzle-to-plate distances. Penumadu & Rao [ 10 ] revealed that the heat transfer characteristics are better predicted by SST k - ω model essentially due to its ability to accurately handle regions with high pressure gradients. According to these authors, the SST k - ω model was revealed both as accurate and computing time saving in engineering applications.…”
Section: Introductionmentioning
confidence: 99%