2018
DOI: 10.24018/ejers.2018.3.12.1009
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Computational Investigation of Turbulent Flow Development in 180° Channel with Circular Cross Section

Abstract: The present study focuses on the analysis of flow characteristics inside a 180° bent channel by adopting two distinct RANS model namely, Realizable k-ϵ and Reynolds Stress Model (RSM). The computation results, obtained from both case study have been validated against experimental data at different cross-sections throughout the bend region and downstream tangent for velocity distribution. The anisotropic behavior of turbulent flow was illustrated for both case study inside the bend region and it has been establ… Show more

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Cited by 4 publications
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“…MOSSAD, YANG and SCHWARZ [5] carried out the numerical study on sharp rightangled elbow where energy loss is more than curved elbow because of the formation of a separation zone. Hossain and Hossain [6] analyzed the velocity distribution and formation of flow pattern throughout the bent channel and compared the computational results with   k and Reynolds Stress Model. In another study, Hossain, Hossain, Pramanik and Ahmed [7] investigated the deviation of turbulent kinetic energy, turbulent dissipation rate, eddy viscosity and turbulent intensity with the rise of Reynolds number through the bent region of curved pipe using   k and k   turbulent model.…”
Section: Introductionmentioning
confidence: 99%
“…MOSSAD, YANG and SCHWARZ [5] carried out the numerical study on sharp rightangled elbow where energy loss is more than curved elbow because of the formation of a separation zone. Hossain and Hossain [6] analyzed the velocity distribution and formation of flow pattern throughout the bent channel and compared the computational results with   k and Reynolds Stress Model. In another study, Hossain, Hossain, Pramanik and Ahmed [7] investigated the deviation of turbulent kinetic energy, turbulent dissipation rate, eddy viscosity and turbulent intensity with the rise of Reynolds number through the bent region of curved pipe using   k and k   turbulent model.…”
Section: Introductionmentioning
confidence: 99%