A review on polymer-based materials for underwater sound absorption

Fu, Yifeng; Kabir, Imrana I.; Yeoh, Guan Heng; Peng, Zhongxiao

doi:10.1016/j.polymertesting.2021.107115

Cited by 78 publications

(51 citation statements)

References 130 publications

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“…[98] With the addition of a solid glass microsphere as the hybrid filler, a considerable increase in the thermal and acoustic insulation characteristics of the composite was found. [107,109] Changes in the reinforcing architecture of the fibers lead to changes in their acoustic properties. [14,17,104,105] The coir fiber had a good sound absorption coefficient and transmission loss index value, according to the acoustic property results.…”

Section: Effect Of Reinforcement Architecture On the Acoustic Behaviormentioning

confidence: 99%

Acoustic performance of natural fiber reinforced polymer composites: Influencing factors, future scope, challenges, and applications

et al. 2021

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Noise pollution caused by urbanization and industrial development must be effectively controlled to provide a pleasant living atmosphere. Different synthetic fiber materials have good acoustic performance, yet synthetic fiber materials have a high cost and have adverse effect on the environment. Natural fibers are a good alternative to synthetic fibers in terms of acoustic properties and they are also less expensive and have less environmental impact. Several factors affects the acoustic behavior of natural fiber reinforced polymer composites (NFRPCs). The present article focuses on the effect of different processing methods, reinforcement architecture, fiber diameter, laminate thickness and density on the acoustic performance of NFRPCs. Reinforcement architecture has been proved to be the best option in order to tailor the various acoustic properties of the composite laminates without even changing other physical properties. The challenges, future scope and potential applications of natural fibers in acoustic applications (home theaters, offices, cinema halls, automobiles, etc.) have also been discussed.

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Section: Effect Of Reinforcement Architecture On the Acoustic Behaviormentioning

confidence: 99%

Acoustic performance of natural fiber reinforced polymer composites: Influencing factors, future scope, challenges, and applications

et al. 2021

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“…Besides the experimental obstacles, designing an underwater absorber itself can be a challenge for theoretical modeling, because of the diversity of solid elastic vibration modes ( 32 ) that can give rise to difficulty in focusing on the absorption functionality absent of any undesired features. In addition, the acoustic energy density of the conventional materials ( 33 , 34 ) for underwater applications is relatively low, which hinders the efficient dissipation of the low-frequency waves within an acoustically thin sample. In other words, the potential of reducing the thickness of the underwater absorber has not yet been fully explored.…”

Section: Introductionmentioning

confidence: 99%

Underwater metamaterial absorber with impedance-matched composite

Gao

Tinel

et al. 2022

Sci. Adv.

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By using a structured tungsten-polyurethane composite that is impedance matched to water while simultaneously having a much slower longitudinal sound speed, we have theoretically designed and experimentally realized an underwater acoustic absorber exhibiting high absorption from 4 to 20 kHz, measured in a 5.6 m by 3.6 m water pool with the time-domain approach. The broadband functionality is achieved by optimally engineering the distribution of the Fabry-Perot resonances, based on an integration scheme, to attain impedance matching over a broad frequency range. The average thickness of the integrated absorber, 8.9 mm, is in the deep subwavelength regime (~λ/42 at 4 kHz) and close to the causal minimum thickness of 8.2 mm that is evaluated from the simulated absorption spectrum. The structured composite represents a new type of acoustic metamaterials that has high acoustic energy density and promises broad underwater applications.

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“…Acoustic coating technologies (Fu et al 2021) have been installed on maritime platforms for a variety of sound attenuation purposes since the twentieth century and have been continuously improved to address evolving performance requirements (Meyer et al 1958). However, with the advent of advanced sonar technologies, achieving an effective sound attenuation in the low frequency range has been a formidable challenge due to the corresponding long wavelengths, as it involves impractically thick coating requirements and/or increase in embedded cavity diameters.…”

Section: Introductionmentioning

confidence: 99%

A machine learning accelerated inverse design of underwater acoustic polyurethane coatings

Weeratunge

Shireen

Sagar

et al. 2022

Struct Multidisc Optim

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Here we propose a detailed protocol to enable an accelerated inverse design of acoustic coatings for underwater sound attenuation application by coupling Machine Learning and an optimization algorithm with Finite Element Models (FEM). The FEMs were developed to obtain the realistic performance of the polyurethane (PU) acoustic coatings with embedded cylindrical voids. The frequency dependent viscoelasticity of PU matrix is considered in FEM models to substantiate the impact on absorption peak associated with the embedded cylinders at low frequencies. This has been often ignored in previous studies of underwater acoustic coatings, where usually a constant frequency-independent complex modulus was used for the polymer matrix. The key highlight of the proposed optimization framework for the inverse design lies in its potential to tackle the computational hurdles of the FEM when calculating the true objective function. This is done by replacing the FEM with an efficiently computable surrogate model developed through a Deep Neural Network. This enhances the speed of predicting the absorption coefficient by a factor of $$4.5 \times 10^3$$ 4.5 × 10 3 compared to FEM model and is capable of rapidly providing a well-performing, sub-optimal solution in an efficient way. A significant, broadband, low-frequency attenuation is achieved by optimally configuring the layers of cylindrical voids. This is accomplished by accommodating attenuation mechanisms, including Fabry–P$$\acute{e}$$ e ´ rot resonance and Bragg scattering of the layers of voids. Furthermore, the proposed protocol enables the inverse and targeted design of underwater acoustic coatings through accelerating the exploration of the vast design space compared to time-consuming and resource-intensive conventional trial-and-error forward approaches.

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A review on polymer-based materials for underwater sound absorption

Cited by 78 publications

References 130 publications

Acoustic performance of natural fiber reinforced polymer composites: Influencing factors, future scope, challenges, and applications

Acoustic performance of natural fiber reinforced polymer composites: Influencing factors, future scope, challenges, and applications

Underwater metamaterial absorber with impedance-matched composite

A machine learning accelerated inverse design of underwater acoustic polyurethane coatings

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