2021
DOI: 10.1016/j.apacoust.2021.108018
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Beamforming based extension of semi-empirical noise modelling for low-speed axial flow fans

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Cited by 9 publications
(5 citation statements)
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“…In order to estimate the order of magnitude of the effect of Re-dependence of CL and CD, the following illustrative example is given. Taking a realistic and representative low-speed axial flow fan [46] as a reference, Rec varies along the blade span within the range of 30000 -200000, due to the variation in the chord and in the flow velocity (the latter is also influenced by the rotor speed, 700 to 1400 1/min). Based on Figure 6, this variability in the Reynolds number may cause a variation in CL and CD up to 20 % and 30 %, respectively, depending on the α angle of attack.…”
Section: ) Semi-empirical Model For Predicting the Pvs Frequencymentioning
confidence: 99%
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“…In order to estimate the order of magnitude of the effect of Re-dependence of CL and CD, the following illustrative example is given. Taking a realistic and representative low-speed axial flow fan [46] as a reference, Rec varies along the blade span within the range of 30000 -200000, due to the variation in the chord and in the flow velocity (the latter is also influenced by the rotor speed, 700 to 1400 1/min). Based on Figure 6, this variability in the Reynolds number may cause a variation in CL and CD up to 20 % and 30 %, respectively, depending on the α angle of attack.…”
Section: ) Semi-empirical Model For Predicting the Pvs Frequencymentioning
confidence: 99%
“…For illustrative comparison, detailed lift and drag coefficient data have been reproduced by the present authors from the literature, for an airfoil profile -left column, NACA23012 profile 44 -and for a cambered plate -right column, 417a profile. 45 The sketches of the two profiles are shown in Figure 4. Figure 5 shows the comparative lift and drag plots for the two profiles for Reynolds numbers in the order of magnitude of 10 4 .…”
Section: Reynolds Number Effectmentioning
confidence: 99%
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“…Therefore, centrifugal fans need to be developed further to achieve high efficiency, save energy and reduce noise emissions. The latest design methods are based on computationa fluid dynamics (CFD) simulations and aeroacoustic analysis [1][2][3][4][5][6]. At the same time, experimental measurements are developed using state-of-the-art techniques, such as particle image velocimetry (PIV) [7,8].…”
Section: Introductionmentioning
confidence: 99%