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http://dx.doi.org/10.5050/KSNVN.2009.19.5.482

A Study on Acoustic Radiation Reduction of a Vibrating Panel by Using Particle Swarm Optimization Algorithm  

Jeon, Jin-Young (삼성전자 프린팅(사) 선행개발그룹)
Publication Information
Transactions of the Korean Society for Noise and Vibration Engineering / v.19, no.5, 2009 , pp. 482-490 More about this Journal
Abstract
In this paper, the author proposes a new method for acoustic radiation optimum design to minimize noise from a vibrating panel-like structure using a collaborative population-based search method called the particle swarm optimization algorithm(PSOA). The PSOA is a parallel evolutionary computation technique initially developed by Kennedy and Eberhart. The acoustic radiation optimization method based on the PSOA consists of two processes. In the first process, the acoustic radiation analysis by an integrated p-version FEM/BEM, which was developed by using MATLAB, is performed to evaluate the exterior acoustic radiation field of the panel. The second process is to search the optimum design variables: 1) Shape of Bezier curves and 2) Shape and position of ribs, to minimize noise from the panel using the PSOA. The optimization method based on the PSOA is compared to that based on the steady state genetic algorithm(SSGA) in order to verify the effectiveness and validity of the optimal solution by PSOA. Finally, it is shown that the optimal designs of the panel obtained by using the PSOA can achieve effective reductions in radiated sound power.
Keywords
Particle Swarm Optimization Algorithm; Finite Element Method; Boundary Element Method; Sound Power Level; Noise;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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