2004
DOI: 10.1016/j.ijthermalsci.2003.06.005
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Application of low Reynolds number k–ε turbulence models to the study of turbulent wall jets

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Cited by 23 publications
(3 citation statements)
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“…6 compares predicted wall jet spreading rates along the plate to experimental measurements of Tailland [17] for an adiabatic wall case. The Tailland data have been extracted from the paper by Kechiche et al [18]. It is noted that the Spalart and Allmaras turbulence model adopted in this work has provided satisfactory results.…”
Section: Resultsmentioning
confidence: 99%
“…6 compares predicted wall jet spreading rates along the plate to experimental measurements of Tailland [17] for an adiabatic wall case. The Tailland data have been extracted from the paper by Kechiche et al [18]. It is noted that the Spalart and Allmaras turbulence model adopted in this work has provided satisfactory results.…”
Section: Resultsmentioning
confidence: 99%
“…The application of LRN turbulence models to numerically predict the flow and thermal characteristics of turbulent wall jet flow is first reported by Kechiche et al (2004). They have considered Reynolds number in the range 7300 − 22500.…”
Section:    mentioning
confidence: 99%
“…Here, Herrero-model [10] is chosen which contains the effect of the turbulence Reynolds number t R , due to predominant effect of molecular viscosity near the wall, and the nondimensional distance from the wall k R , due to damping velocity fluctuations in direction normal to the wall, in damping function µ f . In addition, [13] concludes that Herrero model [10] is more effective to determine the characteristics of wall jets rather than [3] and [9] . The damping functions and source terms in this model [10] are as follows:…”
Section: Nomenclaturementioning
confidence: 99%