Functionally graded tungsten–epoxy particulate composites to control wave propagation in adhesive interlayers / matching layers

Many high-value sectors must control acoustic/shock waves through a material, component, or assembly. These waves often require transmission across dissimilar materials through a bonding ‘interlayer’ or ‘matching layer’. Epoxies are commonly used for this purpose, but they are ill-suited with low acoustic impedance. Particulate composites can improve many bulk material properties compared to pure epoxies, including their acoustic impedance, and can be functionally graded to alter properties through the composite thickness. In this study, tungsten–epoxy particulate composites with various tungsten volume fractions (≤35%) were fabricated under either atmospheric or autoclave conditions and subsequently characterised to assess their potential as interlayer materials for wave propagation control. A novel approach to functional grading through gravitational segregation was also explored, with success in lower tungsten volume fractions (≤10% and ≤20% for samples formed under atmospheric or autoclave conditions, respectively). Porosity, density, longitudinal sound speed, acoustic impedance, attenuation, and adhesive bond strength were measured, finding that autoclave samples offer reduced porosity and better functional grading control. Various desirable material property values/ranges were produced through controlling different processing parameters and composite compositions. This suggests particulate composites could be used to optimise desirable properties in bonding interlayers that require wave propagation control.

Authors

Institutions

Publication Details

Journal
Journal of Reinforced Plastics and Composites
Published
2026-03-28
DOI
https://doi.org/10.1177/07316844261436540
Primary Topic
Acoustic Wave Phenomena Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Functionally graded tungsten–epoxy particulate composites to control wave propagation in adhesive interlayers / matching layers

Jonathan Painter, Gareth Appleby-Thomas, Kam Sagoo, Nick Brown et al.
Journal of Reinforced Plastics and Composites
Acoustic Wave Phenomena Research
article

Functionally graded tungsten–epoxy particulate composites to control wave propagation in adhesive interlayers / matching layers

Jonathan Painter, Gareth Appleby-Thomas, Kam Sagoo, Nick Brown, Chris Livesey, Daniel Powell
article en

Abstract

Many high-value sectors must control acoustic/shock waves through a material, component, or assembly. These waves often require transmission across dissimilar materials through a bonding ‘interlayer’ or ‘matching layer’. Epoxies are commonly used for this purpose, but they are ill-suited with low acoustic impedance. Particulate composites can improve many bulk material properties compared to pure epoxies, including their acoustic impedance, and can be functionally graded to alter properties through the composite thickness. In this study, tungsten–epoxy particulate composites with various tungsten volume fractions (≤35%) were fabricated under either atmospheric or autoclave conditions and subsequently characterised to assess their potential as interlayer materials for wave propagation control. A novel approach to functional grading through gravitational segregation was also explored, with success in lower tungsten volume fractions (≤10% and ≤20% for samples formed under atmospheric or autoclave conditions, respectively). Porosity, density, longitudinal sound speed, acoustic impedance, attenuation, and adhesive bond strength were measured, finding that autoclave samples offer reduced porosity and better functional grading control. Various desirable material property values/ranges were produced through controlling different processing parameters and composite compositions. This suggests particulate composites could be used to optimise desirable properties in bonding interlayers that require wave propagation control.

Journal of Reinforced Plastics and Composites
Rheinmetall (Czechia) (CZ), Cranfield University (GB)
Openalex Percentile: Top 5%
Acoustic Wave Phenomena Research
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.