Volume 9, Issue 2 (June 2024)                   J Environ Health Sustain Dev 2024, 9(2): 2249-2256 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Fallah Madvari R, Niknam Sharak M, Jafari M J, Abbasi Balochkhaneh F. Comparing Optimized Sound Absorption Coefficient of Aluminum Foam with Local Search Algorithm, Genetic Algorithm, and Particle Swarm Optimization. J Environ Health Sustain Dev 2024; 9 (2) :2249-2256
URL: http://jehsd.ssu.ac.ir/article-1-692-en.html
PhD Graduate in Mechanical Engineering, University of Birjand, Birjand, Iran
Abstract:   (86 Views)
Introduction: The principle of passive sound control is based on the phenomenon of sound absorption by absorbers. The factors affecting sound absorption include porosity, pore size, pore opening size, thickness, and air flow resistance.
Materials and Methods: In this study, the authors compared the optimization results of the effective parameters on sound absorption coefficient (AC) using the three optimization methods: Guided Local Search (GLS), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The programming was done in MATLAB software. Thicknesses of 5, 10, 20, 30 and 40 mm were chosen for optimization at frequencies of 500 to 3000 Hz.
Results: In frequencies above 2 kHz (thickness 5 to 40 mm), the three optimal methods had the same performance and estimated AC of 1. At low frequencies of 2 kHz and thicknesses of 30 and 40 mm, GA and PSO methods obtained an AC of 1.
Conclusion: It seems that the GA and PSO optimization algorithm are suitable methods to optimize the AC of metal foam in low and high frequencies.
Full-Text [PDF 682 kb]   (47 Downloads) |   |   Full-Text (HTML)  (38 Views)  
Type of Study: Original articles | Subject: Noise and radiation control
Received: 2024/03/12 | Accepted: 2024/05/20 | Published: 2024/06/26

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2015 All Rights Reserved | Journal of Environmental Health and Sustainable Development

Designed & Developed by : Yektaweb