Improvement in sound insulation performance of pyramidal truss core cylindrical sandwich structure by adding a frame structure

Wang, Yu-Zhou; Ma, Li

doi:10.1080/15376494.2022.2141381

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…Wang et al 18 investigated the effect of thermal loads on the sound transmission behavior of sandwich structures. Wang and Ma 19 and Li et al 20 probed on the sound insulation of a sandwich structure with pyramidal truss core. The structural‐acoustic performance of aerospace composites was studied by Kaidouchi et al 21 The effect of applying electric field on the sound transmission loss of multifunctional sandwich structures was assessed by Talatahari et al 22 Hasheminejad et al 23 proposed a multiphysics vibroacoustic methodology to cancel acoustic scattering from a smart composite plate.…”

Section: Introductionmentioning

confidence: 99%

Acoustic absorption of3Dprinted glycol‐modified polyethylene terephthalate composites with organically modified montmorillonite and short carbon fibers: Experimentation andANNbased predictive strategy

Mahesh

2023

Polymer Composites

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In this article, the acoustic properties of 3D printed glycol‐modified polyethylene terephthalate (PETG) reinforced with organically modified montmorillonite (OMMT) nanoclay/short carbon fiber (SCF) nanocomposites are experimentally investigated using ASTM E1050‐08 standard. To this end, the sound absorption coefficient (SAC) of different PETG composites was calculated with the aid of two microphone impedance tube, working in the frequency range of 50–6300 Hz. The effect of different weight percentages (wt%) of OMMT nanoclay, SCFs, and 3D printing infill density on the acoustic behavior of PETG nanocomposites is studied. The experimental results reveal that higher wt% of OMMT nanoclay and SCFs has a beneficial effect on sound absorption. Further, the trend of variation of SAC is justified with morphological studies. Also, an artificial neural network (ANN) based prediction methodology to predict SAC is developed using the datasets obtained from the experimentation. Levenberg–Marquardt backward propagation algorithm with 20 neurons trains the ANN model. Using the trained ANN model, the acoustic properties of PETG/OMMT/SCF nanocomposites with different operating frequencies, infill density and wt% of reinforcements are predicted with less than 5% average error. This can be beneficial in eliminating the fabrication and experimentation costs incurred while assessing the acoustic properties of the PETG composites.Highlights PETG/OMMT nanoclay/SCF composite filaments are fabricated. Acoustic absorption of 3D printed PETG composites are experimentally studied. ANN based predictive tool is developed using experimental data. ANN tool predicts the sound absorption and reduces experimentation cost. Microstructural studies justify the trend of sound absorption.

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Section: Introductionmentioning

confidence: 99%

Acoustic absorption of3Dprinted glycol‐modified polyethylene terephthalate composites with organically modified montmorillonite and short carbon fibers: Experimentation andANNbased predictive strategy

Mahesh

2023

Polymer Composites

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Enhancing sound transmission loss of a piezoelectric metastructure shell in the low-frequency range using negative-capacitance shunting

Zheng,

Yuan,

Feng

et al. 2025

European Journal of Mechanics - A/Solids

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Sound insulation performance of cylindrical sandwich structure improved by membrane-type metamaterials

Wang,

2024

Mechanics of Advanced Materials and Structures

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Improvement in sound insulation performance of pyramidal truss core cylindrical sandwich structure by adding a frame structure

Cited by 3 publications

References 35 publications

Acoustic absorption of3Dprinted glycol‐modified polyethylene terephthalate composites with organically modified montmorillonite and short carbon fibers: Experimentation andANNbased predictive strategy

Acoustic absorption of3Dprinted glycol‐modified polyethylene terephthalate composites with organically modified montmorillonite and short carbon fibers: Experimentation andANNbased predictive strategy

Enhancing sound transmission loss of a piezoelectric metastructure shell in the low-frequency range using negative-capacitance shunting

Sound insulation performance of cylindrical sandwich structure improved by membrane-type metamaterials

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