The Design of the Motor Bracket for Reduction of Structure- Borne Noise in Package Air-Conditioner

Sim, Hyoun-Jin; Lee, Sung‐Jin; Kang, Tae-Ho; Lee, Jung-Yoon; Oh, Jae‐Eung

doi:10.3795/ksme-a.2006.30.2.202

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…Therefore, a system scale approach is needed to identify noise mechanisms in electric motor-driven systems. For identification of mechanical noise sources, misalignment, unbalance, fan shape, resonance, and vibration modes have been extensively considered to describe noise behavior [1][2][3][4][5][6]. Reduction of noise by considering electromagnetic sources has been also actively studied in many research works [7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Noise source identification of a BLDC motor

2008

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This paper proposes an analysis procedure of brushless DC(BLDC) motor noise. A systematic approach for identification of noise sources is suggested considering electromagnetic forces, structural and acoustic modes. It is proved by finite element analysis and experiments that the electromagnetic forces and the structural modes are not the major noise source since the noise characteristics are not closely related to the motor RPM. Acoustic modal analysis and tests reveal that the acoustic mode of the internal airspace of the motor is the major noise source.

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Section: Introductionmentioning

confidence: 99%

Noise source identification of a BLDC motor

2008

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Review of non-resonant vibration based energy harvesters for wireless sensor nodes

Khan

2016

Journal of Renewable and Sustainable Energy

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Advancement in technology has reduced the size and power consumption of wireless sensor nodes (WSNs), which leads to the possibility of a battery's replacement with alternative power sources, such as energy harvesters. For WSNs, harvesting energy from ambient vibration has great promise. This paper reports on the recent advancements in the development of vibration-based, non-resonant energy harvesters (NR-EHs). Based on the transduction mechanism, non-resonant electromagnetic energy harvesters (NR-EMEHs), non-resonant electrostatic energy harvesters (NR-ESEHs), and non-resonant piezoelectric energy harvesters (NR-PEEHs) have been successfully developed and reported. The frequency band of NR-EMEHs, NR-ESEHs, and NR-PEEHs is 0.5 to 140 Hz, 85 to 100 Hz, and 5 to 120 Hz, respectively. Moreover, these NR-EHs are subjected from low to high acceleration levels (0.102 to 16.1 g) during characterization. The overall size of the produced NR-EHs is in meso scale. The power generation of the reported NR-EMEHs is in the range from 0.75 to 2200 μW. NR-ESEHs are reported to produce power from 0.7 to 35.3 μW; however, the power production by the developed NR-PEEHs ranges from 3 to 18.5 μW. These NR-EHs are shown to produce power densities from 0.01103 to 8461.54 μW/cm3 which are reasonably sufficient to operate most of the commercially available wireless acceleration sensor nodes.

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Abnormal Acoustic Noise Reduction in X-Ray Tube Single-Phase Motor

Luo

Wang

2009

2009 2nd International Conference on Biomedical Engineering and Informatics

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The Design of the Motor Bracket for Reduction of Structure- Borne Noise in Package Air-Conditioner

Cited by 4 publications

References 5 publications

Noise source identification of a BLDC motor

Noise source identification of a BLDC motor

Review of non-resonant vibration based energy harvesters for wireless sensor nodes

Abnormal Acoustic Noise Reduction in X-Ray Tube Single-Phase Motor

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