TY - GEN
T1 - Assessment of Turbulence Models in Predicting the Mixing Characteristics of Circular Twin Jets
AU - Narendrakumar, Chitimada
AU - Sinhamahapatra, K. P.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.
PY - 2024
Y1 - 2024
N2 - In this paper, a computational fluid dynamic investigation of twin circular orifice jets was conducted for an orifice-to-orifice distance of 3.75 mm and a Mach number of 0.8. The RANS-based turbulence models are evaluated based on examining the jet properties like streamwise velocity, rate of decay, jet half-width and rate of spread. The results show that the K-ω SST turbulence model was effective in predicting the mixing properties like potential core, decay rate, jet half-width and spread rate. Numerical data obtained from the Reynolds stress model and K-ε turbulence models agree well with experimental data in the core region of the jet. In contrast, the transition and self-similar regions are better predicted by the shear stress transport K–ω turbulence model. Overall, the K-ω SST turbulence model was close in agreement with the experimental measurements in the near field and far field of the jet flow field.
AB - In this paper, a computational fluid dynamic investigation of twin circular orifice jets was conducted for an orifice-to-orifice distance of 3.75 mm and a Mach number of 0.8. The RANS-based turbulence models are evaluated based on examining the jet properties like streamwise velocity, rate of decay, jet half-width and rate of spread. The results show that the K-ω SST turbulence model was effective in predicting the mixing properties like potential core, decay rate, jet half-width and spread rate. Numerical data obtained from the Reynolds stress model and K-ε turbulence models agree well with experimental data in the core region of the jet. In contrast, the transition and self-similar regions are better predicted by the shear stress transport K–ω turbulence model. Overall, the K-ω SST turbulence model was close in agreement with the experimental measurements in the near field and far field of the jet flow field.
KW - Decay rate
KW - Half-width
KW - Mixing
KW - Turbulence models
KW - Twin jets
UR - https://www.scopus.com/pages/publications/85184101335
U2 - 10.1007/978-981-99-5990-7_19
DO - 10.1007/978-981-99-5990-7_19
M3 - 会议稿件
AN - SCOPUS:85184101335
SN - 9789819959891
T3 - Lecture Notes in Mechanical Engineering
SP - 205
EP - 213
BT - Proceedings of the 1st International Conference on Fluid, Thermal and Energy Systems - ICFTES 2022
A2 - Das, Sudev
A2 - Mangadoddy, Narasimha
A2 - Hoffmann, Jaap
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st International Conference on Fluid, Thermal and Energy Systems, ICFTES 2022
Y2 - 9 June 2022 through 11 June 2022
ER -