Characteristics of unsteady flow field and aeroacoustic noise in a regenerative blower

Lim, Tae-Gyun; Lee, Sang Moon; Jeon, Wan-Ho; Jang, Choon‐Man

doi:10.1007/s12206-015-0421-6

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…Moreover, they used the model to analyze the effects of various cutting parameters and tool geometric parameters on noise. Previous research [ 79 , 80 ] pointed out that an aerodynamic noise prediction model based on the Navier–Stokes equations for calculating the flow variables of airflow is generally applicable to the analysis and research of the aerodynamic noise of rotating machinery. This finding is consistent with Djambazov’s [ 77 ] analysis.…”

Section: Noise Signal Acquisition and Numerical Analysis And Noise Co...mentioning

confidence: 99%

Research Progress of Noise in High-Speed Cutting Machining

Wei

Shang

Peng

et al. 2022

Sensors

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High-speed cutting technology has become a development trend in the material processing industry. However, high-intensity noise generated during high-speed cutting exerts a potential effect on the processing efficiency, processing accuracy, and product quality of the workpiece; it may even cause hidden safety hazards. To conduct an in-depth study of noise in high-speed cutting machining, this work reviews noise sources, noise collection and numerical recognition, noise control, and condition monitoring based on acoustic signals. First, this article introduces noise sources, noise signal acquisition equipment, and analysis software. It is pointed out that how to accurately classify and recognize the target signal in the complex high-speed machining environment is one of the focuses of scholars’ research. Then, it points out that a computer achieves high accuracy and practicability in signal analysis, processing, and result display. Second, in the aspect of noise signal processing, the characteristics of noise signals are analyzed. It is pointed out that accurately analyzing the characteristics of different noise source signals and adopting appropriate methods for identification and processing are the necessary conditions for effectively controlling and reducing the noise in the process of high-speed cutting. The advantages and applicable fields of artificial intelligence algorithms in processing mixed noise source signals with different frequency characteristics are compared, providing ideas for studying the mechanism of noise generation and the identification of noise sources. Third, in terms of noise control, a detailed overview is provided from the aspects of the treatment of the noise source that contributes the most to the overall noise, the improvement of the tool structure, the optimization of cutting parameters, and the analysis of contact factors between the tool and the workpiece. It provides an effective way for noise control in the process of high-speed cutting. In addition, the application of acoustic signals to condition monitoring is also thoroughly analyzed. The practical application value of condition monitoring based on acoustic signals in high-speed machining is highlighted. Finally, this paper summarizes the positive significance of noise research in high-speed machining and identifies key problems and possible research methods that require further study in the future.

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Section: Noise Signal Acquisition and Numerical Analysis And Noise Co...mentioning

confidence: 99%

Research Progress of Noise in High-Speed Cutting Machining

Wei

Shang

Peng

et al. 2022

Sensors

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Influence of Blade Geometry on Performance of Hydrogen Vortex Blower in Fuel Cell System

Li,

Tan,

Zhao

2024

Springer Proceedings in Physics

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Hydrogen fuel cell has great potential in replacement of traditional fossil energy systems to decrease carbon dioxide emission. Vortex blower is a key device in the hydrogen recirculation system, which need to be studied deeply to improve the performance of the whole fuel cell. In this paper, the steady internal flow of a hydrogen vortex bower was numerical simulated, and the effect of blade number and blade flapping angle on the performance was studied. The simulation results were compared with experimental data, and the deviation of simulation in choking condition was observed. With the validated simulation method, the influence of blade number and flapping angle was studied. Higher blade number causes more friction, and less blade number leads to flow separation. The negative flapping angle also has the effect on depressing low-pressure region. This research illuminates the simulation method can be further applied to the aerodynamic study and structure optimization of vortex blower.

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Analysis of vortical flow field related to aero-acoustic sound in an air conditioning system by wall pressure measurement and CFD (2nd Report, blade passing frequency in a blower)

Jeong

2017

J Mech Sci Technol

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Characteristics of unsteady flow field and aeroacoustic noise in a regenerative blower

Cited by 5 publications

References 9 publications

Research Progress of Noise in High-Speed Cutting Machining

Research Progress of Noise in High-Speed Cutting Machining

Influence of Blade Geometry on Performance of Hydrogen Vortex Blower in Fuel Cell System

Analysis of vortical flow field related to aero-acoustic sound in an air conditioning system by wall pressure measurement and CFD (2nd Report, blade passing frequency in a blower)

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