2020
DOI: 10.1016/j.tsep.2020.100580
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Turbulent swirling impinging jet arrays: A numerical study on fluid flow and heat transfer

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Cited by 25 publications
(15 citation statements)
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“…The results for Nu, summarized in Table 4, show that the numerical predictions present a maximum deviation of 12% when compared with the correlations, which seems to be reasonable, according to other studies [44,54,62,63]. When compared with the experimental data, this difference is approximately equal to 5%, which is an acceptable difference, explained by external factors that are not accounted for numerically.…”
Section: Numerical Model Validationsupporting
confidence: 77%
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“…The results for Nu, summarized in Table 4, show that the numerical predictions present a maximum deviation of 12% when compared with the correlations, which seems to be reasonable, according to other studies [44,54,62,63]. When compared with the experimental data, this difference is approximately equal to 5%, which is an acceptable difference, explained by external factors that are not accounted for numerically.…”
Section: Numerical Model Validationsupporting
confidence: 77%
“…Several authors agree that the RANS type SST k-ω model is both accurate and computing time-saving for the modeling of multiple jet impingement systems [42][43][44][45][46]. In that sense, this turbulence model was implemented in this work.…”
Section: Turbulence Modellingmentioning
confidence: 84%
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“…It was observed from the results that at H/D = 2, the weakly swirling jet inflow condition suppresses heat transfer. A numerical investigation was performed by Debnath et al [93] to study the comparison of the effect of swirling and non-swirling jet array impingement flow on heat transfer performance. The two conditions were swirling flow (S = 0.74) and non-swirling flow (S = 0), the jet-plate spacing (H/D) was kept constant at 2.0, and the Reynolds number used was 11,600.…”
Section: Excited Jetsmentioning
confidence: 99%