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2010
DOI: 10.1016/j.ijrefrig.2009.12.014
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Comparison of different turbulence models in predicting the temperature separation in a Ranque–Hilsch vortex tube

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Cited by 100 publications
(45 citation statements)
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“…The location of zero axial velocity was almost identical for all the four models. at z/L = 0.5 [10] In case of profiles of static temperature, all the four turbulence models predicted the same qualitative nature; however the magnitude obtained differed considerably. The resulting temperature differential was attributed to difference in predicted pressure differential by various models (Fig.…”
Section: Numerical Studies On Rhvtmentioning
confidence: 74%
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“…The location of zero axial velocity was almost identical for all the four models. at z/L = 0.5 [10] In case of profiles of static temperature, all the four turbulence models predicted the same qualitative nature; however the magnitude obtained differed considerably. The resulting temperature differential was attributed to difference in predicted pressure differential by various models (Fig.…”
Section: Numerical Studies On Rhvtmentioning
confidence: 74%
“…Dutta et al [10] used Four Reynolds Average NavierStokes (RANS) based turbulence models, namely the standard k-ε, RNG k-ε, Standard k-ω and Shear Stress Transport (SST) k-ω to model the turbulence present in the flow field of RHVT. Their results indicated that difference of pressure between wall and axis are maximum with RNG k-ε while it was least for Standard k-ε model (Fig.…”
Section: Numerical Studies On Rhvtmentioning
confidence: 99%
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“…Along with this, the location of stagnation point was marked with reference to the highest wall temperature. Then the comparison of numerical turbulent models (Dutta, Sinhamahapatra, & Bandyopdhyay, 2010) demonstrates results to identify the best model getting close to experimental results. The numerical analysis of curved tubes (Bovand M. , Valipour, Dincer, & Tamayol Heat and Mass Transfer (2017) Vol.…”
Section: Fig 15 Turbulence Models Used For Vortex Tube Analysismentioning
confidence: 85%
“…Numerical results for varieties of different models (Dutta, Sinhamahapatra, & Bandyopdhyay, 2010;Shamsoddini & Nezhad, 2010;Baghdad, Ouadha, & Addad, 2012;Khazaei, Teymourtash, & Jafarian, 2012;Pourmahmoud, Hassanzadeh, & Moutaby, 2012;Pourmahmoud, Jahangiramini, & Izadi, 2013;Rafiee & Rahimi, 2013;Rafiee & Masoud, 2014;Rafiee & Sadeghiazad, 2014) are available for their efficiency and closeness to realistic situation inside the vortex phenomenon. Few models were successfully captured flow phenomenon and occurrence of secondary flow, stagnation point, hot and cold separation etc.…”
Section: Fig 15 Turbulence Models Used For Vortex Tube Analysismentioning
confidence: 99%