Improvement of corner separation prediction using an explicit non-linear rans closure
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Authors
Sun, W
Xu, Liping
Publication Date
2021-04-07Journal Title
Journal of the Global Power and Propulsion Society
ISSN
2515-3080
Publisher
Global Power and Propulsion Society
Volume
5
Pages
50-65
Type
Article
This Version
VoR
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Show full item recordCitation
Sun, W., & Xu, L. (2021). Improvement of corner separation prediction using an explicit non-linear rans closure. Journal of the Global Power and Propulsion Society, 5 50-65. https://doi.org/10.33737/jgpps/133913
Abstract
<jats:p>In this paper, an investigation into the effect of explicit non-linear turbulence modelling on anisotropic turbulence flows is presented. Such anisotropic turbulence flows are typified in the corner separations in turbomachinery. The commonly used Reynolds-Averaged Navier-Stokes (RANS) turbulence closures, in which the Reynolds stress tensor is modelled by the Boussinesq (linear) constitutive relation with the mean strain-rate tensor, often struggle to predict corner separation with reasonable accuracy. The physical reason for this modelling deficiency is partially attributable to the Boussinesq hypothesis which does not count for the turbulence anisotropy, whilst in a corner separation, the flow is subject to three-dimensional (3D) shear and the effects due to turbulence anisotropy may not be ignored. In light of this, an explicit non-linear Reynolds stress-strain constitutive relation developed by Menter et al. is adopted as a modification of the Reynolds-stress anisotropy. Coupled with the Menter’s hybrid "k-ω" ⁄"k-ε" turbulence model, this non-linear constitutive relation gives significantly improved predictions for the corner separation flows within a compressor cascade, at both the design and off-design flow conditions. The mean vorticity field are studied to further investigate the physical reasons for these improvements, highlighting its potential for the widespread applications in the corner separation prediction.</jats:p>
Identifiers
External DOI: https://doi.org/10.33737/jgpps/133913
This record's URL: https://www.repository.cam.ac.uk/handle/1810/331206
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Licence URL: https://creativecommons.org/licenses/by-nc-nd/4.0/
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