2012
DOI: 10.1016/j.ijrefrig.2012.08.022
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A new approach to study and optimize cooling performance of a Ranque–Hilsch vortex tube

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Cited by 18 publications
(7 citation statements)
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“…A 25 mm extension is added to match the current model with their experimental set up, which was incorporated to allow temperature measurements. A similar extension was observed in Shamsoddini and Khorasani's [19] CFD work which was also based on Aljuwayhel et al's work. Five turbulence models (the standard k-ε model, the RNG k-ε model with swirl option, the RNG k-ε model without swirl option, the standard k-ω model, the SST k-ω model) are trialled as they have been identified as having the ability to produce a good match between simulated and experimental results [15,16,20,21] .…”
Section: Model Geometrysupporting
confidence: 84%
“…A 25 mm extension is added to match the current model with their experimental set up, which was incorporated to allow temperature measurements. A similar extension was observed in Shamsoddini and Khorasani's [19] CFD work which was also based on Aljuwayhel et al's work. Five turbulence models (the standard k-ε model, the RNG k-ε model with swirl option, the RNG k-ε model without swirl option, the standard k-ω model, the SST k-ω model) are trialled as they have been identified as having the ability to produce a good match between simulated and experimental results [15,16,20,21] .…”
Section: Model Geometrysupporting
confidence: 84%
“…The increase of the system entropy in a vortex tube is mainly caused by the turbulent eddies in the central region of the tube. The turbulent flow behaviour has been reported in the investigations of the flow pattern in a vortex tube and was clearly shown by the turbulent intensity of the flow, particularly by the peak value of the intensity in the central area of the tube [1,41,46]. The increased entropy of the system also results in a loss of total energy, which has been noticed in previous investigations [18,31,35,36,42,45,[47][48][49][50].…”
Section: Discussionmentioning
confidence: 56%
“…Dincer et al [12] examined the effects of control valve angle on counter flow RHVT by using artificial neural networks and experimental data. Beside this, there are several studies on the cooling and heating performance of both streams of RHVT in which the performance change with the different parameters such as geometry and operating conditions of RHVT conducted [14][15][16][17][18][19][20][21][22][23][24]. Aydin and Baki [14] conducted an experimental study on the geometrical parameters and performance of counter flow RHVT.…”
Section: Introductionmentioning
confidence: 99%