2012
DOI: 10.1016/j.jsv.2011.10.014
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Effect of blade wrap angle on efficiency and noise of small radial fan impellers—A computational and experimental study

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Cited by 29 publications
(12 citation statements)
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“…The first code is the finite-element multiphysics solver CFS++ [14], which is based on Lighthill's analogy. The second one is called SPySI (sound prediction by surface integration), which is predicated on the porous Ffowcs Williams-Hawkings method [15]. Such tools for noise prediction can be very useful in wind turbine design in order to optimize the system with respect to noise and aerodynamic performance.…”
Section: State Of the Art Of Vawts And Purpose Of This Workmentioning
confidence: 99%
“…The first code is the finite-element multiphysics solver CFS++ [14], which is based on Lighthill's analogy. The second one is called SPySI (sound prediction by surface integration), which is predicated on the porous Ffowcs Williams-Hawkings method [15]. Such tools for noise prediction can be very useful in wind turbine design in order to optimize the system with respect to noise and aerodynamic performance.…”
Section: State Of the Art Of Vawts And Purpose Of This Workmentioning
confidence: 99%
“…Impellers offer very high compression ratios and are usually more efficient than axial compressors but shall generate undesired noise [1]. In this regard, a majority of the existing archived publications explores possible ways to reduce the noise generated by impellers [2,3]. The main interest of the present work lies in the proper characterization of critical rotational velocities where amplitudes of motion of the bladed impeller may reach undesired high levels induced by a unilateral-contact driven mechanism leading to vibratory reso-nances.…”
Section: Introductionmentioning
confidence: 99%
“…Some of them are impeller exit angles [4][5][6][7], blade wrap angle [8,9], blade thickness [10] and impeller exit width [11]. Anagnostopoulos [12] investigated the effect of blade geometry on pump efficiency using his 2-D turbulent flow solver.…”
Section: Introductionmentioning
confidence: 99%