2016
DOI: 10.1115/1.4033372
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Study of Available Turbulence and Cavitation Models to Reproduce Flow Patterns in Confined Flows

Abstract: Cavitating flow in nozzles is a complex flow which implies a highly turbulent two-phase one. An accurate simulation which improves some numerical results found in the literature was achieved by means of an extensive analysis of the capabilities of several numerical models for turbulence and cavitation. The analysis performed involves calibration/optimization tasks based on the physics of this kind of flow. This work aims to provide a quantitative criterion for the judgment of internal flow state, because it wa… Show more

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Cited by 5 publications
(7 citation statements)
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“…Similar observations were also made by Singhal et al [30] and Lifante and Frank [44]. Darbandi et al [42] and Coussirat et al [46], using the cavitation model by Singhal et al [30] and a k-ω and SST k-ω turbulence model, respectively, do not find this overprediction; however, their C d values at higher cavitation numbers are underpredicted.…”
Section: Numerical Analysis Resultssupporting
confidence: 79%
See 4 more Smart Citations
“…Similar observations were also made by Singhal et al [30] and Lifante and Frank [44]. Darbandi et al [42] and Coussirat et al [46], using the cavitation model by Singhal et al [30] and a k-ω and SST k-ω turbulence model, respectively, do not find this overprediction; however, their C d values at higher cavitation numbers are underpredicted.…”
Section: Numerical Analysis Resultssupporting
confidence: 79%
“…Similar observations were also made by Singhal et al [30] and Lifante and Frank [44]. Darbandi et al [42] and Coussirat et al [46], using the cavitation model by Singhal et al [30] and a k-ω and SST k-ω turbulence model, respectively, do not find this overprediction; however, their 𝐶 values at higher cavitation numbers are underpredicted. Figure 16 shows a comparison of the orifice discharge coefficients C d predicted using our CFD simulations for the three considered dissolved gas contents (i.e., GC1, GC2, and GC3) with those obtained from our experiments (see also Figure 13).…”
Section: Numerical Analysis Resultssupporting
confidence: 79%
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