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Utilizing polydispersity in three-dimensional random fibrous based sound absorbing materials

Authors :
Quang Vu Tran
Camille Perrot
Raymond Panneton
Minh Tan Hoang
Ludovic Dejaeger
Valérie Marcel
Mathieu Jouve
Source :
Materials & Design, Vol 247, Iss , Pp 113375- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

The distribution of fiber diameters plays a crucial role in the transport and sound absorbing properties of a three-dimensional random fibrous (3D-RF) medium. Conventionally, volume-weighted averaging of fiber diameters has been utilized as an appropriate microstructural descriptor to predict the static viscous permeability of 3D-RF media. However, the long wavelength acoustical properties of a 3D-RF medium are also sensitive to the smallest fibers, this is particularly true in the high-frequency regime. In our recent research, we demonstrated that an inverse volume-weighted averaging of fiber diameters can effectively serve as a complementary microstructural descriptor to capture the high-frequency behavior of polydisperse fibrous media. In the present work, we reexamine the identification of two representative volume elements (RVEs) which relies on the reconstruction of 3D-RF microstructures having volume-weighted and inverse-volume weighted averaged fiber diameters, respectively in the low-frequency and high frequency regimes. We investigate the implication of such a weighting procedure on the transport and sound absorbing properties of polydisperse fibrous media, highlighting their potential advantages. Furthermore, we discuss the challenges associated with this research field. Finally, we provide a brief perspective of the future directions and opportunities for advancing this area of study.

Details

Language :
English
ISSN :
02641275
Volume :
247
Issue :
113375-
Database :
Directory of Open Access Journals
Journal :
Materials & Design
Publication Type :
Academic Journal
Accession number :
edsdoj.7104a7902aa4970bdaf6e2df570c6f0
Document Type :
article
Full Text :
https://doi.org/10.1016/j.matdes.2024.113375