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In this study, the acoustic behavior of materials such as foam was simulated using COMSOL software in conjunction with the Delany-Bazley-Miki (DBM) model, facilitating an analytical comparison between empirical data and predictions generated by COMSOL. This research evaluated key parameters including sound absorption coefficients and sound field intensity, thereby determining the noise cancellation efficacy of duct systems. Through orthogonal optimization, a multifaceted analysis was conducted, encompassing factors such as foam material, structure, and angles. The data underscored a dynamic interplay amongst these variables. Quantitative results from the study pinpointed the contributions of different factors to sound absorption efficiency, revealing that, among all considered parameters, duct length and angle were the most significant in influencing sound absorption performance. Additionally, at a frequency of 500Hz, the optimal acoustic configuration was identified as polyurethane with a flow resistance of 20,000, at an angle of 60°, and a length of 50mm. These findings offer practical guidance for material selection and structural design in the realm of silencer design for industrial and environmental noise control.
In the fields of automated industry and environmental noise control, the analysis of structural variables within silencers is critical for enhancing their performance. The primary objective of this research was to delve into how dimensions, shapes, materials, and internal configurations of ducts within silencers impact noise suppression. Our assessment encompassed not only the selection and arrangement of sound-absorbing materials but also considered the cost-effectiveness and overall system performance.
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