Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-26T13:10:28.795Z Has data issue: false hasContentIssue false
  • English
  • Français

Investigation of the Flow and Noise Distribution on a Blower via Integration of Simulation and Experiments

Published online by Cambridge University Press:  06 June 2017

Y. D. Kuan ,
J. M. Huang ,
J. H. Wong ,
C. Y. Chen ,
S. M. Lee  and
C. N. Hsu
Y. D. Kuan*
Affiliation:
Department of Refrigeration, Air Conditioning and Energy EngineeringNational Chin-Yi University of TechnologyTaichung, Taiwan
J. M. Huang
Affiliation:
Department of Refrigeration, Air Conditioning and Energy EngineeringNational Chin-Yi University of TechnologyTaichung, Taiwan
J. H. Wong
Affiliation:
Department of Refrigeration, Air Conditioning and Energy EngineeringNational Chin-Yi University of TechnologyTaichung, Taiwan
C. Y. Chen
Affiliation:
Department of Refrigeration, Air Conditioning and Energy EngineeringNational Chin-Yi University of TechnologyTaichung, Taiwan
S. M. Lee
Affiliation:
Department of Aerospace EngineeringTamkang UniversityNew Taipei, Taiwan
C. N. Hsu
Affiliation:
CHC Fans and Blowers CompanyTaichung, Taiwan
*
*Corresponding author ([email protected])
Get access

Abstract

As the consciousness of energy saving and carbon reduction and comfortable environment is paid increasing attention to, the common objective of various countries with decreasing energy is to develop and popularize high efficiency and low running noise blowers. This study uses CFD to calculate the flow field and performance of a blower and compare with the experimental measurement. The characteristic curve of blower shows that the simulated and experimental values are close to each other, the difference between the values is only 0.4%. This analysis result proofs the CFD package is a highly reliable tool for the future blower design improvement. In addition, this study discusses the noise distribution of blower flow field, the periodic pressure output value calculated by CFD is used in the sound source input of sound pressure field, so as to simulate and analyze the aerodynamic noise reading of the flow field around the blower. The result shows that the simulated value of flow field around the fan has as high as 80.5 dB(A) ∼ 81.5 dB(A) noise level and is agree with measurement (82 dB(A)). The noise level is low but has a sharp noise. According to the numerical results, designer of the blower modify the tongue geometry and remove the sharp noise.

Keywords

BlowerComputational Fluid DynamicsPerformance curveNoise
Type
Research Article
Information
Journal of Mechanics , Volume 34 , Issue 2 , April 2018 , pp. 151 - 158
Copyright
Copyright © The Society of Theoretical and Applied Mechanics 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Dau, V. T. and Dinh, T. X., “Numerical Study and Experimental Validation of a Valueless Piezoelectric Air Blower for Fluidic Applications,” Sensors and Actuators B: Chemical, 221, pp. 1077–1083 (2015).CrossRefGoogle Scholar
2. June, M. S., Kribs, J. and Lyons, K. M., “Measuring Efficiency of Positive and Negative Ionic Wind Devices for Comparison to Fans and Blowers,” Journal of Electrostatics, 69, pp. 345–350 (2011).Google Scholar
3. Wagner, M. R. and Popel, H. J., “Oxygen Transfer and Aeration Efficiency — Influence of Diffuser Submergence, Diffuser Density, and Blower Type,” Water Science and Technology, 38, pp. 1–6 (1998).Google Scholar
4. Li, Y. S., “Numerical Analysis of The Performance of Double-Suction Backward-Curved Centrifugal Fan,” M. S. Thesis, Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, Taiwan (2007).Google Scholar
5. Ramponi, R. and Blocken, B., “CFD Simulation of Cross-Ventilation for a Generic Isolated Building: Impact of Computational Parameters,” Building and Environment, 53, pp. 34–48 (2012).Google Scholar
6. Aksenov, A. A., Kharchenko, S. A., Konshin, V. N. and Pokhilko, V. I., “Flow Vision software: Numerical Simulation of Industrial CFD Applications on Parallel Computer Systems,” Parallel Computational Fluid Dynamics 2003, pp. 401–408 (2004).Google Scholar
7. Glodová, I., Lipták, T. and Bocko, J., “Usage of Finite Element Method for Motion and Thermal Analysis of a Spe-Cific Object in Solid Works Environment,” Procedia Engineering, 96, pp. 131–135 (2014).Google Scholar
8. Aksenov, A. A., Gudzovsky, A. V., “The Software FlowVision for Study of Air Flows, Heat and Mass Transfer by Numerical Modelling Methods,” Proceedings of the Third Forum of Association of Engineers for Heating, Ventilation, Air Conditioning, Heat Supply and Building Thermal Physics, pp. 31–35, U.S. (1993).Google Scholar
9. Aksenov, A. A., Gudzovsky, A. V. and Serebrov, A. A., “Electrohydrodynamic Instability of Fluid Jet in Microgravity,” Proceedings of 5th International Symposium on Computational Fluid Dynamics, Japan (1993).Google Scholar
10. Zaghi, S., Mascio, A. D, Broglia, R. and Muscari, R., “Application of Dynamic Overlapping Grids to the Simulation of the Flow around a Fully-Appended Submarine,” Mathematics and Computers in Simulation, 116, pp. 75–88 (2011).Google Scholar