54th AIAA Aerospace Sciences Meeting 2016
DOI: 10.2514/6.2016-0303
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Investigations of XV-15 Rotor Hover Performance and Flow Field Using U2NCLE and HELIOS Codes

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Cited by 15 publications
(7 citation statements)
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References 17 publications
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“…From a point of view of the turbulence model employed, it seems that the fully turbulent flow assumption is able to capture the trend of FoM and torque coefficient (Figure 24 (b)). Similar conclusions were drawn in previous work by Kaul et al [23], Yoon et al [26], and Sheng et al [27], where fully turbulent flows were successfully employed. Comparison between predicted and measured [13] FoM at a collective pitch angle of…”
Section: Helicopter Modesupporting
confidence: 79%
See 1 more Smart Citation
“…From a point of view of the turbulence model employed, it seems that the fully turbulent flow assumption is able to capture the trend of FoM and torque coefficient (Figure 24 (b)). Similar conclusions were drawn in previous work by Kaul et al [23], Yoon et al [26], and Sheng et al [27], where fully turbulent flows were successfully employed. Comparison between predicted and measured [13] FoM at a collective pitch angle of…”
Section: Helicopter Modesupporting
confidence: 79%
“…However, minimal differences between these fully-turbulent models were observed in the predictions of skin friction coefficient, which did not reproduce well the flowfield encountered in the experiment [13]. Sheng et al [27] used the U 2 NCLE and HELIOS CFD solvers to assess the effect of transition models in predicting the hover figure of merit on the XV-15 blade. Despite the use of a massive grid of 294 million cells for the whole rotor, results at 10 • collective showed an over-predicted FoM with a discrepancy of more than 3%.…”
Section: Model-scale Rotor With Swept-tapered Tip Using the Hpcmp Crementioning
confidence: 99%
“…Similar conclusions were drawn in previous works by Kaul et al [13], Yoon et al [16], and Sheng et al [17], where fully turbulent flows were successfully employed. …”
Section: Mesh Convergencesupporting
confidence: 79%
“…However, minimal differences between these fully-turbulent models were observed in the predictions of skin friction coefficient, which did not reproduce well the flowfield encountered in the experiment [12]. Sheng et al [17] used the U 2 NCLE and Helios CFD solvers to assess the effect of transition models in predicting the hover figure of merit on the XV-15 blade. Despite the use of a grid size of 294 million cells for the whole rotor, results at 10 • collective showed an over-predicted FoM with a discrepancy of 3.17%.…”
Section: Accurate Predictions Of Hovering Rotor Flows Using Cfdmentioning
confidence: 99%
“…However, minimal differences between these fully-turbulent models were observed in the predictions of skin friction coefficient, which did not reproduce well the flowfield encountered in the experiment (20) . Sheng et al (27) used the U 2 NCLE and Helios CFD solvers, to assess the effect of transition models in predicting the hover figure of merit on the XV-15 blade. Despite the use of a massive grid size of 294 million cells for the whole rotor, results at 10° collective showed an over-predicted FoM with a discrepancy of 3.17%.…”
Section: Introductionmentioning
confidence: 99%