Effective fiber diameter for modeling the acoustic properties of polydisperse fiber networks

Luu, Hoang Tuan; Panneton, Raymond; Perrot, Camille

doi:10.1121/1.4976114

Cited by 13 publications

(7 citation statements)

References 11 publications

(7 reference statements)

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“…Results reveal that fiber diameter has a significant effect on the sound absorption coefficient. A significant increase in the sound absorption coefficient has been observed by decreasing fiber diameter [36].…”

Section: Effect Of Fiber Sizementioning

confidence: 94%

Factors Affecting Acoustic Properties of Natural-Fiber-Based Materials and Composites: A Review

et al. 2021

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Recently, very rapid growth has been observed in the innovations and use of natural-fiber-based materials and composites for acoustic applications due to their environmentally friendly nature, low cost, and good acoustic absorption capability. However, there are still challenges for researchers to improve the mechanical and acoustic properties of natural fiber composites. In contrast, synthetic fiber-based composites have good mechanical properties and can be used in a wide range of structural and automotive applications. This review aims to provide a short overview of the different factors that affect the acoustic properties of natural-fiber-based materials and composites. The various factors that influence acoustic performance are fiber type, fineness, length, orientation, density, volume fraction in the composite, thickness, level of compression, and design. The details of various factors affecting the acoustic behavior of the fiber-based composites are described. Natural-fiber-based composites exhibit relatively good sound absorption capability due to their porous structure. Surface modification by alkali treatment can enhance the sound absorption performance. These materials can be used in buildings and interiors for efficient sound insulation.

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Section: Effect Of Fiber Sizementioning

confidence: 94%

Factors Affecting Acoustic Properties of Natural-Fiber-Based Materials and Composites: A Review

et al. 2021

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“…3. In [23], the definition as to how "equivalent" microstructures (in terms of macroscopic properties) can be defined was addressed in a computational setting. A fibrous medium exhibiting a tight distribution of fiber diameters was purposely considered, and the effect of fiber length distribution was not studied.…”

Section: The Second Contributionmentioning

confidence: 99%

“…It is typically hampered, however, by either the need to simplify geometry [16,18] or physics [15,22]. In recent years, however, another approach to the numerical study of diffusion and fluid flow through fibrous media has gained some popularity [17,23,24]. The idea is to numerically solve the asymptotic behaviors of the linearized Navier-Stokes and heat equations in a realistic microscopically disordered geometry, and then study how volume-averaged properties of the diffusion process and the fluid flow depend on the details of the microstructures.…”

Section: Introductionmentioning

confidence: 99%

“…In practice, the selection of the aforementioned average radius yields satisfactory results whenever the wave propagates perpendicularly to the plane to which all fibers belong. This work follows a series of recent contributions by some of the authors [17,23,24], focusing on the determination of the acoustic properties of random fibrous materials from their microstructures. In these papers, numerical simulations of fluid flow through fibrous media were fed with microstructural descriptors of increased complexity, inferred from experiments.…”

Section: Introductionmentioning

confidence: 99%

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Multiscale prediction of acoustic properties for glass wools: Computational study and experimental validation

Perrot

Guilleminot

et al. 2018

The Journal of the Acoustical Society of America

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This work is concerned with the multiscale prediction of the transport and sound absorption properties associated with industrial glass wool samples. In the first step, an experimental characterization is performed on various products using optical granulometry and porosity measurements. A morphological analysis, based on scanning electron imaging, is further conducted to identify the probability density functions associated with the fiber angular orientation. The key morphological characterization parameters of the microstructure, which serve as input parameters of the model, include the porosity, the weighted volume diameter accounting for both lengths and diameters of the analyzed fibers (and therefore the specific surface area of the random fibrous material), and the preferred out-of-plane fiber orientation generated by the manufacturing process. A computational framework is subsequently proposed and allows for the reconstruction of an equivalent fibrous network. A fully stochastic microstructural model, parameterized by the probability laws inferred from the database, is also proposed herein. Multiscale simulations are carried out to estimate transport properties and sound absorption. With no adjustable parameter, the results accounting for ten different samples obtained with various processing parameters are finally compared with the experimental data and used to assess the relevance of the reconstruction procedures and the multiscale computations.

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“…This approach is less computationally intensive, since it uses the computed eight (or fewer) parameters as inputs to the semi-analytical formulas of the JCALP model (or its variations). Such a hybrid approach has been used to investigate the acoustical properties of fibrous materials [37][38][39][40][41][42][43], granular media [33,37,[44][45][46][47], various polymeric and open-cell foams [34,35,[48][49][50][51][52][53][54][55][56][57][58][59], ceramic foams with spherical pores [60], metallic foams [36], and syntactic hybrid foams, i.e. open-cell polyurethane foams with embedded hollow microbeads [61].…”

Section: Introductionmentioning

confidence: 99%

Benchmarks for microstructure-based modelling of sound absorbing rigid-frame porous media

Zieliński¹,

Venegas²,

Perrot³

et al. 2020

Journal of Sound and Vibration

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This work presents benchmark examples related to the modelling of sound absorbing porous media with rigid frame based on the periodic geometry of their microstructures. To this end, rigorous mathematical derivations are recalled to provide all necessary equations, useful relations, and formulas for the so-called direct multi-scale computations, as well as for the hybrid multi-scale calculations based on the numerically determined transport parameters of porous materials. The results of such direct and hybrid multi-scale calculations are not only cross verified, but also confirmed by direct numerical simulations based on the linearised Navier-Stokes-Fourier equations. In addition, relevant theoretical and numerical issues are discussed, and some practical hints are given.

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Effective fiber diameter for modeling the acoustic properties of polydisperse fiber networks

Cited by 13 publications

References 11 publications

Factors Affecting Acoustic Properties of Natural-Fiber-Based Materials and Composites: A Review

Factors Affecting Acoustic Properties of Natural-Fiber-Based Materials and Composites: A Review

Multiscale prediction of acoustic properties for glass wools: Computational study and experimental validation

Benchmarks for microstructure-based modelling of sound absorbing rigid-frame porous media

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