Suppression of Noise Level of Canister Vacuum Cleaner

 




 

Lim, Jun (2018) Suppression of Noise Level of Canister Vacuum Cleaner. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

Vacuum cleaner generates up to 70 to 75 dB of noise in operating condition. In recent year, household appliance industry tends to focus their research goal in the reduction of noise emission due to the increasing demand of quieter devices. The primary objective of this research is to identify the noise source and then suppress the noise level of a canister vacuum cleaner experimentally without affecting its suction power significantly. Subsequent to this, low cost modification to reduce the noise level of vacuum cleaner was investigated. In this research, the primary noise was contributed by blade passing noise generated by motor and airborne noise from aerodynamics origin. The blade passing frequency of the motor is 2475 Hz while the dominant airborne noise occurs at 600 Hz. Through acoustic characterisation and frequency spectrum analysis, noise attenuation methods were proposed and implemented. Sound absorptive material was applied in the inner wall of the vacuum cleaner and 3.7 dB(A) reduction of overall noise level was achieved. A honeycomb noise filter was designed, built and implemented into the vacuum cleaner, a reduction of 3.4 dB(A) was noticed. Both proposed reduction methods were then implemented together, and the overall noise level was successfully reduced from 73.2 dB(A) to 65.8 dB(A), achieving a total reduction of 7.4 dB(A). The baseline suction power was compared after the modifications, a difference of 0.001 W was noticed, and it is considered as insignificant as it was 0.93% of the baseline suction power of 0.108 W.

Item Type: Final Year Project
Subjects: Technology > Mechanical engineering and machinery
Faculties: Faculty of Engineering and Technology > Bachelor of Engineering (Honours) Mechanical
Depositing User: Library Staff
Date Deposited: 10 Oct 2018 09:39
Last Modified: 15 Apr 2022 03:28
URI: https://eprints.tarc.edu.my/id/eprint/339