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ORIGINAL RESEARCH article

Front. Acoust.
Sec. Acoustic Materials, Noise Control and Sound Perception
Volume 2 - 2024 | doi: 10.3389/facou.2024.1478414
This article is part of the Research Topic Insights in Acoustic Materials, Noise Control and Sound Perception View all articles

Optimization of sound absorption of recycled Nylon fibrous materials

Provisionally accepted
Julien Biboud Julien Biboud Saïd Slkoun Saïd Slkoun Raymond Panneton Raymond Panneton *
  • Université de Sherbrooke, Sherbrooke, Quebec, Canada

The final, formatted version of the article will be published soon.

    A semi-empirical model for the assessment and an optimization procedure of the sound absorption coefficient of compressed nonwoven fibrous materials made from recycled Nylon fibers (RNF) is developed. In general, the prediction of the sound absorption properties of materials requires the measurement of non-acoustic parameters by specialized characterization tools that are not always within reach of most laboratories. The objective of the proposed model is to establish empirical relationships between these non-acoustic parameters and the bulk density of RNF materials. These empirical relationships are then substituted into a conventional acoustic model for porous materials, namely the model of Johnson-Champoux-Allard. The proposed model accurately predicts the sound absorption coefficients of compressed RNF materials based solely on bulk density, thickness, and frequency. This prediction is validated through impedance tube measurements. Moreover, the model is used with a proposed optimization producedure to identify the ideal density and thickness for maximum sound absorption at a specific frequency.Impedance tube measurements on optimized configurations confirm the effectiveness of this optimization process.

    Keywords: sound absorption, optimization, Recycled fibers, Nonwoven, Fibrous, Bulk density

    Received: 09 Aug 2024; Accepted: 23 Oct 2024.

    Copyright: © 2024 Biboud, Slkoun and Panneton. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Raymond Panneton, Université de Sherbrooke, Sherbrooke, J1K 2R1, Quebec, Canada

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.