2006
DOI: 10.1115/1.2184352
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A Correlation-Based Transition Model Using Local Variables—Part I: Model Formulation

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Cited by 1,034 publications
(489 citation statements)
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“…With increasing Reynolds number, the transition moves upstream, closer to the leading edge. Vortices generated in the transitional area were clearly shorter compared to regimes with Reynolds number Re2is = 2.5×10 5 .…”
Section: Transition On Blade a And Unheated Blade Bmentioning
confidence: 94%
See 1 more Smart Citation
“…With increasing Reynolds number, the transition moves upstream, closer to the leading edge. Vortices generated in the transitional area were clearly shorter compared to regimes with Reynolds number Re2is = 2.5×10 5 .…”
Section: Transition On Blade a And Unheated Blade Bmentioning
confidence: 94%
“…Therefore several BL transition models were developed and are widely tested in various examples by Straka et al [3,4], Menter et al [5], Suzen and Huang [6] or Steelant and Dick [7]. To validate the CFD models it is necessary to have the relevant experimental data of the BL transition for the different flow conditions.…”
Section: Introductionmentioning
confidence: 99%
“…A transition model suggested by Menter et al [8] is based on correlation-based approach which appears to provide consistent results. This model has been applied to a number of two-(2D) and three-dimensional (3D) test §ow cases [9] and simulations agreed well with experiments for the studied cases at a wide range of Reynolds numbers and freestream turbulent intensities.…”
Section: Introductionmentioning
confidence: 95%
“…Numerical calculations were performed with a Gamma Theta transition turbulence model by Menter et al [8]. This correlation-based model uses transport equations for intermittency and momentum thickness Reynolds number.…”
Section: Numerical Setupmentioning
confidence: 99%
“…The former variable is used to trigger transition, whilst the latter is solved to set the transition onset criteria (ANSYS, 2012). This model has been extensively validated with experiments for a range of transitional flows (including turbomachinery applications) in works such as Menter et al (2004), Langtry et al (2004), Langtry and Menter (2005), Völker (2006), and.…”
Section: Numerical Modelmentioning
confidence: 99%