Volume 1: Turbomachinery 1995
DOI: 10.1115/95-gt-241
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Transition Length Prediction for Flows With Rapidly Changing Pressure Gradients

Abstract: A new method for calculating intermittency in transitional boundary layers with changing pressure gradients is proposed and tested against standard turbomachinery flow cases. It is based on recent experimental studies which show the local pressure gradient parameter to have a significant effect on turbulent spot spreading angles and propagation velocities (and hence transition length). This can be very important for some turbomachinery flows. On a turbine blade suction surface for example, it is possible for t… Show more

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Cited by 34 publications
(34 citation statements)
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“…These parameters can be obtained from correlations. For example, detailed correlations for α, σ, and N were constructed by Gostelow et al [67] and Solomon et al [68]. The factor Nσ/U in (1) has the dimension 1/m 2 .…”
Section: Intermittencymentioning
confidence: 99%
“…These parameters can be obtained from correlations. For example, detailed correlations for α, σ, and N were constructed by Gostelow et al [67] and Solomon et al [68]. The factor Nσ/U in (1) has the dimension 1/m 2 .…”
Section: Intermittencymentioning
confidence: 99%
“…There are many other algebraic models for intermittency and these are usually based on properties like turbulent spot production and propagation rate. Examples include Gostelow et al (1994) and Solomon et al (1996). Steelant and Dick (1996) provided the following correlations ofnσ versus T u and K,…”
Section: Data Correlation Based Modelsmentioning
confidence: 99%
“…The transition length model is the one detailed by Boyle and Simon [32]. It is a modification of the transition length model of Solomon et al [33] to account for Mach number effects. It was shown to give good agreement with smooth blade heat transfer data for both stator, (Arts et al [1] and Hylton et al [34]), and rotor test cases, (Arts et al [35] ).…”
Section: Heat Transfer Modeling Assumptionsmentioning
confidence: 99%