Sound Wave Absorption and Electromagnetic Wave Absorption Performance of Porous Composites With Waste Glass Fibers

ABSTRACT This study realized high‐value recycling of waste glass fibers to relieve noise and electromagnetic pollution. Composites were fabricated via mechanical foaming, with waste glass fibers as reinforcement, polyvinyl alcohol (PVA) as matrix, and ferro ferric oxide (Fe 3 O 4 ) plus carbon black as functional fillers. Six parameters were optimized by single‐factor trials: 14% waste glass fiber, 8% PVA, 1.25% sodium dodecyl sulfate (SDS), 1300 rpm stirring speed, 4 min stirring time and 2 cm sample thickness. Under optimal conditions, the composite had an average sound absorption coefficient (SAC) of 0.48, noise reduction coefficient (NRC) of 0.50, along with a peak SAC of 0.86. Its minimum reflection loss (RL min ) reached −21.70 dB at 6.80 GHz. The composite displayed outstanding sound and electromagnetic wave absorption capacities. Stable porous structures prolonged wave transmission paths and strengthened multi‐reflection and scattering. Sound energy dissipated through viscous friction and heat exchange on pore and fiber surfaces. Fe 3 O 4 and carbon black attenuated electromagnetic waves via conductive, eddy current and interface polarization losses. The material achieved synergistic sound and electromagnetic wave absorption, offering practical technical support for waste fiber reuse and pollution control.

Authors

Institutions

Publication Details

Journal
Polymer Composites
Published
2026-08-26
DOI
https://doi.org/10.1002/pc.71510
Primary Topic
Electromagnetic wave absorption materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Sound Wave Absorption and Electromagnetic Wave Absorption Performance of Porous Composites With Waste Glass Fibers

Yiping Zhao, Yongfang Qian, Lihua Lyu, Mengyu Qian et al.
Polymer Composites
Electromagnetic wave absorption materials
article

Sound Wave Absorption and Electromagnetic Wave Absorption Performance of Porous Composites With Waste Glass Fibers

Yiping Zhao, Yongfang Qian, Lihua Lyu, Mengyu Qian, Yuan Gao, Xinghai Zhou, Gang Wang, Jianlei Wang
article en

Abstract

ABSTRACT This study realized high‐value recycling of waste glass fibers to relieve noise and electromagnetic pollution. Composites were fabricated via mechanical foaming, with waste glass fibers as reinforcement, polyvinyl alcohol (PVA) as matrix, and ferro ferric oxide (Fe 3 O 4 ) plus carbon black as functional fillers. Six parameters were optimized by single‐factor trials: 14% waste glass fiber, 8% PVA, 1.25% sodium dodecyl sulfate (SDS), 1300 rpm stirring speed, 4 min stirring time and 2 cm sample thickness. Under optimal conditions, the composite had an average sound absorption coefficient (SAC) of 0.48, noise reduction coefficient (NRC) of 0.50, along with a peak SAC of 0.86. Its minimum reflection loss (RL min ) reached −21.70 dB at 6.80 GHz. The composite displayed outstanding sound and electromagnetic wave absorption capacities. Stable porous structures prolonged wave transmission paths and strengthened multi‐reflection and scattering. Sound energy dissipated through viscous friction and heat exchange on pore and fiber surfaces. Fe 3 O 4 and carbon black attenuated electromagnetic waves via conductive, eddy current and interface polarization losses. The material achieved synergistic sound and electromagnetic wave absorption, offering practical technical support for waste fiber reuse and pollution control.

Polymer Composites
Fujian Institute of Research on the Structure of Matter (CN), Dalian Polytechnic University (CN)
Openalex Percentile: Top 26%
Electromagnetic wave absorption materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.