2017
DOI: 10.1177/1475472x17718740
|View full text |Cite
|
Sign up to set email alerts
|

Influence of blade skew on axial fan component noise

Abstract: Microphone arrays can be used to detect sound sources on rotating machinery. For this study, experiments with three different axial fans, featuring backward-skewed, unskewed, and forwardskewed blades, were conducted in a standardized fan test chamber. The measured data are processed using the virtual rotating array method. Subsequent application of beamforming and deconvolution in the frequency domain allows the localization and quantification of separate sources, as appear at different regions on the blades. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
18
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 26 publications
(19 citation statements)
references
References 35 publications
1
18
0
Order By: Relevance
“…In a second step, the DAMAS beamforming algorithm (DAMAS stands for deconvolution approach for the mapping of acoustic sources) [54] with 100 iterations was applied to the CSM. This algorithm was chosen due to its good overall performance and its good reconstruction results for sources close to each other (especially at low frequencies [25,41,55]), which is important when analyzing airfoil leading-edge noise [2]. However, the disadvantage of this algorithm when compared to other common methods is the relatively high computational cost.…”
Section: Acoustic Measurements and Data Processingmentioning
confidence: 99%
See 1 more Smart Citation
“…In a second step, the DAMAS beamforming algorithm (DAMAS stands for deconvolution approach for the mapping of acoustic sources) [54] with 100 iterations was applied to the CSM. This algorithm was chosen due to its good overall performance and its good reconstruction results for sources close to each other (especially at low frequencies [25,41,55]), which is important when analyzing airfoil leading-edge noise [2]. However, the disadvantage of this algorithm when compared to other common methods is the relatively high computational cost.…”
Section: Acoustic Measurements and Data Processingmentioning
confidence: 99%
“…However, leading-edge treatment approaches to reduce turbulence interaction noise also exist for axial fans, including leading-edge serrations [31][32][33][34][35][36] and porous materials [37][38][39]. In addition, modifications of the shape of the blades in the form of sweeping or skewing are known as effective means for noise reduction [3,[40][41][42][43][44].…”
Section: Introductionmentioning
confidence: 99%
“…Besides some other methods, the authors propose the following metric, defined along a periodic dimension γ with period P , shown in Eq. (8).…”
Section: Periodicitymentioning
confidence: 99%
“…For instance, in the optimization of a swept benchmark fan carried out by Bamberger & Carolus [9] it was not clear whether the noise reduction was due to sweep or to the reduction of secondary flows. The influence of the operating conditions of the fan on the possibility of reducing noise by means of sweep is highlighted in [10], [11] and [12]. Herold et al [10] also pointed out that vortex shedding from the trailing-edge of a blade is significantly dependent on the component of the mean flow speed perpendicular to the edge.…”
Section: Introductionmentioning
confidence: 99%