Research On Noise Control And Forecast For Vacuum Cleaner Based On Statistical Energy Analysis

With the improvement of living conditions, reducing the noise of vacuum cleaner becomes more and more important. A vibro-acoustics simulation model can forecast noise source and determination design flaws in the product designing period, so the whole design and manufacture process can be controlled and adjusted. As a result the dynamic design can be realized, the cost can be reduced, and competition can be promoted. Statistical Energy Analysis (SEA) as an effective method for middle and high-frequency vibro-acoustics prediction has been successfully applied to some areas such as aerospace, ship, and car. In this paper, a statistical energy analysis model is built for studying the noise control of vacuum cleaner.Theoretical analysis for the vacuum cleaner noise is conducted. A noise signal acquisition and analysis system based on Matlab is developed, which provides necessary conditions for noise measurement and simulation model verification.The principles for subsystem partition are provided. Subsystems and connections of SEA model are built in AutoSEA software. For complex structures, their equivalent parameters are discussed. For different structures, a series of formulae of SEA parameters are provided, such as module density, damping loss factor and couple loss factor, the input power is obtained by experimental measurement. Finally, the statistical energy analysis model of vacuum cleaner is established.The vacuum cleaner radiation noise is analyzed using the simulation model which is verified by experimentation. The noise source is determined by energy flow analysis. Based on this, some noise control methods are put forward. The impacts of these methods on noise reduction are investigated, which provide reference gist for vacuum cleaner noise control. Finally, some noise reduction methods such as installing grid tuyere and applying damping are conducted. The noise reduction effects can agree with the simulation results better.This study can offer some guidance and reference on how to carry out noise-vibration study and build up vacuum cleaner SEA model, how to effectively reduce the noise level of vacuum cleaner.