LONG JUN'AN, SONG XIA, SHI JUNYE, et al. Optimization and CFD Analysis on Nozzle Exit Position of Two-phase Ejector. [J]. Journal of refrigeration, 2022, 43(2).
LONG JUN'AN, SONG XIA, SHI JUNYE, et al. Optimization and CFD Analysis on Nozzle Exit Position of Two-phase Ejector. [J]. Journal of refrigeration, 2022, 43(2). DOI: 10.3969/j.issn.0253-4339.2022.02.039.
This study proposes an optimization guideline for a two-phase ejector's nozzle exit position (NXP) based on the turbulent jet mixing mechanism. Under a given suction mass flow rate
the optimal NXP is the distance that the jet travels when the external boundary of the jet increases to the mixer radius. The performances of two-phase CO2 ejectors with NXP values of 3
5
7.5
10
and 15 mm were studied by numerical simulations. The results show that when the NXP is 5 mm
the jet mixing pattern can exactly satisfy the above guidelines. In this case
the ejector has a maximum pressure-lift of 0.69 MPa
46.8% higher than that of the 15 mm case. By analyzing the jet velocity profiles on different cross-sections in the suction chamber
we show that if the NXP is greater than the optimum value
the external jet boundary will exceed the mixer radius
preventing part of the jet flow from entering the mixer. In addition
a vortex region appears near the suction chamber wall
resulting in jet energy dissipation and thus degrades pressure recovery. When the NXP is less than the optimal value
the entrainment process is completed in the mixer
and the effective length is reduced
causing a 1.5% decrease in pressure recovery. This study is enlightened by the jet velocity characteristic and proposes a correlation for the initial guess of the optimal NXP