2020
DOI: 10.1016/j.ast.2020.106122
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An improved local correlation-based intermittency transition model appropriate for high-speed flow heat transfer

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Cited by 19 publications
(11 citation statements)
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“…Qin et al [29] have used an algebraic intermittency factor to accelerate the development of TBL in the late transition region, such that the overshoot phenomenon is reproduced with a reasonable degree of accuracy. However, Qin et al 's method is based on the perspective of transition model construction, and its applicability to complex configurations requires further investigations [13]. In the present approach, the transition overshoot is characterized by a single parameter, β l , which, if Fig.…”
Section: Simulation Of the Gac Experimentsmentioning
confidence: 94%
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“…Qin et al [29] have used an algebraic intermittency factor to accelerate the development of TBL in the late transition region, such that the overshoot phenomenon is reproduced with a reasonable degree of accuracy. However, Qin et al 's method is based on the perspective of transition model construction, and its applicability to complex configurations requires further investigations [13]. In the present approach, the transition overshoot is characterized by a single parameter, β l , which, if Fig.…”
Section: Simulation Of the Gac Experimentsmentioning
confidence: 94%
“…Since nearly all transition models include a correlation equation to define the transition onset location [6,7], which is poorly predicted in general, the existing models usually give insufficient and even undetermined prediction accuracies [8,9]. Furthermore, HBLs are generally governed by different instability mechanisms on different surface areas [1,10,11], which results in enormous complexities in modeling and simulating HBL transitions [12,13]. The status calls for a reflection: whether one should always rely on a correct description of the transition mechanism for the foundation of a transition model, or perhaps might discover a universal principle governing transitional boundary layers, and work out a more efficient transition model.…”
Section: Introductionmentioning
confidence: 99%
“…Qin et al [27] have used an algebraic intermittency factor to accelerate the development of TBL in the late transition region, such that the overshoot phenomenon is reproduced with a reasonable degree of accuracy. However, Qin et al's method is based on the perspective of transition model construction, and its applicability to complex configurations requires further investigations [13]. In the present approach, the transition overshoot is characterized by a single parameter, l , which, if larger than unity, introduces a streamwise transition layer in between the laminar and full-turbulent flows.…”
Section: Simulation Of the Gac Experimentsmentioning
confidence: 96%
“…Taking the HBL on an inclined straight cone as an example, the Mack second mode is widely considered to be the dominant instability mode on the windward surface, the cross-flow mode on the lateral side, and the streamwise vortex mode on the leeward center of the cone [9,10,11]. The varying transition mechanisms result in enormous and ever increasing complexities in modeling and simulating HBL transitions [12,13], which calls for a reflection: whether one should always rely on a correct description of the transition mechanism for the foundation of a transition model. One perhaps needs to discover a universal principle governing transitional boundary layers, and to work out a more efficient transitional model, rather than keeping proposing more and more complex version of the popular intermittency-factor-based transition models.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast to EDU geometry, the parametric OML models were designed to provide data across a wide range of scalloping levels, which also provide a simplified and easily reproducible geometric representation of OML scalloping that can be used for further testing or for computational studies. In this paper, IRVE Scallop-10 model is selected as an example to carry out numerical simulation [5] in Figure 2(a). And the influence of different turbulence models on the accuracy calculation of its aerodynamic characteristics is analyzed.…”
Section: Introductionmentioning
confidence: 99%