Optimization of Layer Sequencing in Multi-Layer Porous Absorbers for Automotive NVH Applications

This study employed an integrated experimental–computational methodology to investigate the critical role of the layer-stacking sequence in the acoustic performance of multi-layer porous materials for vehicle NVH applications. The acoustic properties of four distinct single-layer materials were first characterized via impedance tube measurements. A finite element simulation model based on the Johnson–Champoux–Allard (JCA) theory was subsequently developed in COMSOL Multiphysics 6.2 and rigorously validated. Leveraging this validated model, a systematic analysis was conducted on six different layer sequences under a fixed total thickness of 30 mm. The simulation results showed excellent agreement with experimental data, with a root-mean-square error (RMSE) below 5%. It was demonstrated that the stacking sequence significantly governed the mid-to-high frequency sound absorption behavior, which was strongly correlated with the modulation of the real and imaginary parts of the normalized surface acoustic impedance. This study thus demonstrated that the layer sequence—a previously underexplored design factor—critically determines the absorption performance of multi-layer materials at a fixed total thickness. A full design-space analysis revealed that performance shifts are governed by changes in interfacial acoustic impedance. This physics-driven insight provides a practical framework for tailoring absorbers to specific frequency bands, offering a viable path toward lightweight acoustic solutions for electric vehicle applications.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2026-02-04
DOI
https://doi.org/10.3390/wevj17020075
Primary Topic
Acoustic Wave Phenomena Research
Type
article
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article

Optimization of Layer Sequencing in Multi-Layer Porous Absorbers for Automotive NVH Applications

Jianguo Liang, Tianjun Zhu, Weibo Huang, Bin Li
World Electric Vehicle Journal
Acoustic Wave Phenomena Research
article

Optimization of Layer Sequencing in Multi-Layer Porous Absorbers for Automotive NVH Applications

Jianguo Liang, Tianjun Zhu, Weibo Huang, Bin Li
article en

Abstract

This study employed an integrated experimental–computational methodology to investigate the critical role of the layer-stacking sequence in the acoustic performance of multi-layer porous materials for vehicle NVH applications. The acoustic properties of four distinct single-layer materials were first characterized via impedance tube measurements. A finite element simulation model based on the Johnson–Champoux–Allard (JCA) theory was subsequently developed in COMSOL Multiphysics 6.2 and rigorously validated. Leveraging this validated model, a systematic analysis was conducted on six different layer sequences under a fixed total thickness of 30 mm. The simulation results showed excellent agreement with experimental data, with a root-mean-square error (RMSE) below 5%. It was demonstrated that the stacking sequence significantly governed the mid-to-high frequency sound absorption behavior, which was strongly correlated with the modulation of the real and imaginary parts of the normalized surface acoustic impedance. This study thus demonstrated that the layer sequence—a previously underexplored design factor—critically determines the absorption performance of multi-layer materials at a fixed total thickness. A full design-space analysis revealed that performance shifts are governed by changes in interfacial acoustic impedance. This physics-driven insight provides a practical framework for tailoring absorbers to specific frequency bands, offering a viable path toward lightweight acoustic solutions for electric vehicle applications.

World Electric Vehicle JournalVol. 17(2)
Zhaoqing University (CN), Cummins (United Kingdom) (GB)
Openalex Percentile: Top 67%
Acoustic Wave Phenomena Research
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Optimization of Layer Sequencing in Multi-Layer Porous Absorbers for Automotive NVH Applications — Jianguo Liang, Tianjun Zhu, et al. · World Electric Vehicle Journal (2026) | TGRS Research Map | TGRS