2016
DOI: 10.1016/j.apm.2015.10.047
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Numerical simulation of the interactions among multiple turbulent swirling jets mounted in unbalanced positions

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Cited by 8 publications
(3 citation statements)
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“…represents higher-order terms in the polynomial. The Richardson extrapolation requires the use of at least three grid-levels (coarse, medium, and fine) [22,23,24], however, it is also possible to use an appropriately chosen number of grid-levels [25,26,27]. The refinement ratio r should be applied in each refinement step.…”
Section: Verification and Validation (Vandv) Assessmentmentioning
confidence: 99%
“…represents higher-order terms in the polynomial. The Richardson extrapolation requires the use of at least three grid-levels (coarse, medium, and fine) [22,23,24], however, it is also possible to use an appropriately chosen number of grid-levels [25,26,27]. The refinement ratio r should be applied in each refinement step.…”
Section: Verification and Validation (Vandv) Assessmentmentioning
confidence: 99%
“…Khelil et al [21] used the k-ε, RNG k-ε and RSM turbulence models to statistically investigate the interaction between numerous swirling jets deployed in uneven positions. They found that the RSM model was more suitable than the regular k-ε model for capturing mean flow behavior after conducting a numerical examination.…”
Section: Introductionmentioning
confidence: 99%
“…They concluded that it is better to have several jets instead of a single jet having the same momentum flux at the nozzle exit. Khelil et al (2016) have numerically examined the interaction between several swirling jets mounted in unbalanced positions by handling turbulence using the k-ε, RNG k-ε and RSM turbulence models. From the numerical investigation performed, the authors showed that the RSM model was better suited than the standard k-ε model for capturing the mean flow behavior.…”
Section: Introductionmentioning
confidence: 99%