Response surface methodology on the selection of natural fiber properties in the sound absorption coefficient

Md Saad, Nur Fatin Izzati (2023) Response surface methodology on the selection of natural fiber properties in the sound absorption coefficient. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This Bachelor Degree Project outlines the background of the project “response surface methodology on the selection of natural fiber properties in the sound absorption coefficient”. Sound insulation in one's living space, when travelling, and at one's place of employment is currently regarded as one of the most essential components of contemporary human comfort. Noise pollution and numerous forms of both human and industrial waste are two examples of these problems. In recent years, a wide variety of natural compounds have undergone research and development to be used in acoustic applications. Materials that absorb sound take in the vast majority of the sound energy that is directed at them, while only reflecting a small portion of it. Because of that, the primary objective of this research is to prepare the acoustic material sample of rice husk with different thickness, density and airgap. Second, to study the sound absorption coefficient between different thickness, density and air gap using impendence tube. third, to analyze the significant of thickness, density and airgap using responde surface methodology with Minitab software. The Response Surface Methodology (RSM) is a statistical technique that be used to organise experiments, construct models, assess the effects of a number of parameters, and look for the conditions that provide the most acceptable results. In order to acquire relevant data for the goal of this inquiry, statistical techniques and the Box-Behnken design were applied, respectively. RSM, which is based on the Box-Behnken design, will explore the influence that specific parameter variables have on rice husk fibre through the utilisation of impendence tube testing. The data has been analyze by Analysis of variance (ANOVA) using Minitab software. These conditions include the presence of an air gap, as well as thickness and density. As a direct consequence of this finding, noise-controlling materials that absorb sound have been shown to be of tremendously beneficial utility. As a result, increasing the thickness of the sample leads to improvements in the performance of the sound absorption coefficient at low frequency. The application of the rice husk fiber to the sample led to a modest increase in the sample's absorption coefficient, as demonstrated by the results. When compared to scenarios in which there is no air gap behind the samples, the existence of an air gap behind the samples results in significantly improved sound absorption performance. This took place because individual particles in the air vibrated and caused the sound's energy to spread out. According to the findings, the samples of material rice husk fiber exhibit a better performance in absorbing the sound energy and are effective in reducing the amount of sound that is absorbed by materials.

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