2020
DOI: 10.1016/j.ijheatmasstransfer.2020.120088
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URANS of turbulent flow and heat transfer in divergent swirl tubes using the k-ω SST turbulence model with curvature correction

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Cited by 22 publications
(8 citation statements)
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“…Fluent uses cell-centered formulation and hence reduction in number of cells helps to utilize lower computational resources with faster convergence. 17 It also predicts the flow and heat transfer performances in a swirl tube with reasonable accuracy. Under cell zone conditions, a porous zone is enabled to simulate the presence of metal foams inside the inner fluid and primary zones.…”
Section: Grid Independence Studymentioning
confidence: 91%
See 1 more Smart Citation
“…Fluent uses cell-centered formulation and hence reduction in number of cells helps to utilize lower computational resources with faster convergence. 17 It also predicts the flow and heat transfer performances in a swirl tube with reasonable accuracy. Under cell zone conditions, a porous zone is enabled to simulate the presence of metal foams inside the inner fluid and primary zones.…”
Section: Grid Independence Studymentioning
confidence: 91%
“…The recently published work reported by You et al demonstrates that the k-ω SST Curvature Correction (CC) model is computationally cost effective to study the flow through swirl tubes. 17 It also predicts the flow and heat transfer performances in a swirl tube with reasonable accuracy. Under cell zone conditions, a porous zone is enabled to simulate the presence of metal foams inside the inner fluid and primary zones.…”
Section: Ansys Fluent Setupmentioning
confidence: 91%
“…Moreover, the Reynolds stress model (RSM) and shear stress transport (SST) k-ω model are commonly utilized to predict swirl flow. [19,20] As an alternative RANS turbulence modelling approach, the RSM model exhibits a reliable prediction capacity in terms of resolving the axial and swirl velocities, Reynolds stress anisotropy, streamlined curvature, and swirling flow effects. [21] Nevertheless, the computational cost of the RSM model is obviously larger than that of the SST k-ω model because it involves solving six transport equations for stress transfer and one TKE dissipation rate equation.…”
Section: Methodsmentioning
confidence: 99%
“…On the other hand, the κ-ω turbulence model is challenging when dealing with complex flows with severe eddies and significant separations. At the same time, the simulation accuracy is also affected by the choice of turbulence model constants and grid quality [44]. Therefore, simulations that rely on simulator experience are unsuitable for this study.…”
Section: Turbulence Modelmentioning
confidence: 99%