Optimization of low frequency sound absorption by cell size control and multiscale poroacoustics modeling

Park, Juhyuk; Yang, Sei Hyun; Lee, Hyeongrae; Yu, Cheng Bin; Pak, Seong Yeol; Oh, Chi Sung; Kang, Yeon June; Youn, Jae Ryoun

doi:10.1016/j.jsv.2017.03.004

Cited by 71 publications

(33 citation statements)

References 60 publications

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“…Therefore, only a regional drastic action was observed. Hence, the content of deionized water is a crucial factor to cell structure, and the sound absorption property of flexible PU foam highly depends on the bulk density and cell structure …”

Section: Resultsmentioning

confidence: 99%

Sound absorption and compressive property of PU foam‐filled composite sandwiches: Effects of needle‐punched fabric structure, porous structure, and fabric‐foam interface

Zhang

Wang

et al. 2019

Polymers for Advanced Techs

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The flexible polyurethane (PU) foam-filled composite sandwiches are constructed using three types of needle-punched fabrics (upper layer), PU foam (core layer), and nylon (bottom layer). Different contents of deionized water were used to adjust the pore size and bulk density of PU foam by free-foaming. Effects of needlepunched fabric components, cell structure, and fabric-foam interface on sound absorption and compressive property of the composite sandwiches were investigated. Fabric-foam interface contributes to improve high-frequency sound absorption efficiency. When containing 0.5 wt% water in the core and nylon-glass grid needle-punched composite fabric (NPUN-G) in the upper face, the composite sandwiches exhibited optimal sound absorption of 0.78 at low frequency of 450 Hz, and optimal compressive strength of 14.4 kPa. Combination of needle-punched composite fabric improved the sound absorption coefficient and compressive strength, as high as 223% and 121%, respectively, compared with pure PU foam. This study provided an important basis for the preparation of high-strength composite sandwiches with low-frequency sound absorption.

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Section: Resultsmentioning

confidence: 99%

Sound absorption and compressive property of PU foam‐filled composite sandwiches: Effects of needle‐punched fabric structure, porous structure, and fabric‐foam interface

Zhang

Wang

et al. 2019

Polymers for Advanced Techs

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“…According to the transfer matrix method, the total transfer matrix of the composite sound-absorbing structure T was achieved, as shown in Equation (21). Referring to Equation (1), the sound absorption coefficient of the composite sound-absorbing structure was calculated by Equation (22).…”

Section: Theoretical Sound Absorption Modelmentioning

confidence: 99%

“…Normally, no matter for the common porous metal or for composite sound-absorbing structure, the structural parameters must be optimized to achieve the satisfactory sound absorption performance under certain constraint conditions [16][17][18][19][20][21]. Acoustic topology optimization of porous material distribution based on the adjoint variable fast multipole boundary element method was conducted by Zhao et al [16], and its ability to handle the large-scale problems was validated through numerical examples of acoustic scattering over a single cylinder and multiple cylinders.…”

Section: Introductionmentioning

confidence: 99%

“…Parametric optimization and analysis of a metallic porous material were conducted by Barbosa and Lenzi [20], who aimed to reduce the gas pulsation noise in the household refrigerators. Park et al [21] carried out multistage numerical analysis of the polyurethane foam, and it could be proved that reduction of the mean cell diameter could enhance acoustic damping efficiency in low-frequency ranges. Therefore, parameter optimization is the critical step to develop the novel sound absorber, and it is extremely important to obtain acoustic characteristic parameters of the porous metal.…”

Section: Introductionmentioning

confidence: 99%

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Identification of Acoustic Characteristic Parameters and Improvement of Sound Absorption Performance for Porous Metal

Yang

Shen

Duan

et al. 2020

Metals

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Porous metal is widely used in the fields of sound absorption and noise reduction, and it is a critical procedure to identify acoustic characteristic parameters and to improve sound absorption performances. Based on the constructed theoretical sound absorption model and experimental data, acoustic characteristic parameters of the porous metal were identified through the cuckoo search identification algorithm, and their reliabilities were certified through comparing with these labeled parameters and further experimental validation. By adding the microperforated metal panel in front of the porous metal, a composite sound-absorbing structure was formed, which aimed to improve the sound absorption performance of the original porous metal by optimizing the parameters. Finite element simulation and a standing wave tube measurement were conducted to validate the effectiveness and practicability of the optimal composite sound-absorbing structure. Consistencies among theoretical predictions, simulation results, and experimental data proved the effectiveness of the identification and optimization method. When the target frequency ranges were 100–1000 Hz, 100–2000 Hz, 100–3000 Hz, and 100–4000 Hz. Actual average sound absorption coefficients of the optimal composite structures were 0.5154, 0.6369, 0.6770, and 0.7378, respectively, which exhibited the obvious improvements with a tiny increase in the occupied space and a small addition in weight.

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“…With the increasing computing power and the popularity of homogenization technique, the multiscale optimization for the dynamic problems has been one of the most important topics of topology optimization . Its main purpose is to find the optimal distribution of materials on the macro‐ and microscale, so as to obtain the structure with better performance or multifunctional characteristics …”

Section: Introductionmentioning

confidence: 99%

The substructuring‐based topology optimization for maximizing the first eigenvalue of hierarchical lattice structure

Fan

Xiao

et al. 2020

Numerical Meth Engineering

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Summary This work presents a generalized substructuring‐based topology optimization method for the design hierarchical lattice structures to maximize the first eigenvalue. In this method, the macrostructure is assumed to be composed of substructures with a common artificial lattice geometry pattern. And two different yet connected scales are considered through a lattice geometry feature parameter. The feature parameter, which can control the material distribution of the substructure, determines the relative density of corresponding substructure. Each substructure is condensed into a super‐element to obtain the associated density‐related matrices. A surrogate model using cubic spline interpolation has been particularly built to map the density to stiffness and mass matrices of condensed super‐elements. The derivatives of super‐element matrices to the associated densities can be evaluated efficiently and accurately. Here, an augmented penalized density for this surrogate model is introduced. And the conventional optimality criteria method is selected as updating method of the density design variables. Numerical examples under two lattice patterns of substructures are shown to validate the correctness and superiority of this substructure‐based topology optimization method.

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Optimization of low frequency sound absorption by cell size control and multiscale poroacoustics modeling

Cited by 71 publications

References 60 publications

Sound absorption and compressive property of PU foam‐filled composite sandwiches: Effects of needle‐punched fabric structure, porous structure, and fabric‐foam interface

Sound absorption and compressive property of PU foam‐filled composite sandwiches: Effects of needle‐punched fabric structure, porous structure, and fabric‐foam interface

Identification of Acoustic Characteristic Parameters and Improvement of Sound Absorption Performance for Porous Metal

The substructuring‐based topology optimization for maximizing the first eigenvalue of hierarchical lattice structure

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