A Novel Theoretical Modeling for Predicting the Sound Absorption of Woven Fabrics Using Modification of Sound Wave Equation and Genetic Algorithm

Putra, Valentinus Galih Vidia and Irwan, Irwan and Wijayono, Andrian and Mohamad, JulianyNingsih and Yusuf, Yusril (2022) A Novel Theoretical Modeling for Predicting the Sound Absorption of Woven Fabrics Using Modification of Sound Wave Equation and Genetic Algorithm. AUTEX RESEARCH JOURNAL, 22 (1). pp. 108-122. ISSN 1470-9589

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Abstract

Woven fabric in Indonesia is generally known as a material for making clothes and it has been applied as an interior finishing material in buildings, such as sound absorbent material. This study presents a new method for predicting the sound absorption of woven fabrics using a modification of the wave equations and using genetic algorithms. The main aim of this research is to study the sound absorption properties of woven fabric by modeling using a modification of the sound wave equations and using genetic algorithms. A new model for predicting the sound absorption coefficient of woven fabric (plain, twill 2/1, rips and satin fabric) as a function of porosity, the weight of the fabric, the thickness of the fabric, and frequency of the sound wave, was determined in this paper. In this research, the sound absorption coefficient equation was obtained using the modification of the sound wave equation as well as using genetic algorithms. This new model included the influence of the sound absorption coefficient phenomenon caused by porosity, the weight of the fabric, the thickness of fabric as well as the frequency of the sound wave. In this study, experimental data showed a good agreement with the model

Item Type: Article
Uncontrolled Keywords: Acoustic; Sound absorption Coefficient; woven fabric
Subjects: Q Science > QC Physics
Divisions: Faculty of Mathematics and Natural Sciences > Physics Department
Depositing User: Sri JUNANDI
Date Deposited: 19 Oct 2024 10:11
Last Modified: 19 Oct 2024 10:11
URI: https://ir.lib.ugm.ac.id/id/eprint/9153

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