Flexural, viscoelastic, and wear behavior of fly ash cenosphere filled polyester resin composites

The current study deals with the comprehensive analysis of flexural, viscoelastic, and wear properties of industrial waste fly ash cenosphere (FAC). The average particle size (D 50 ) of FAC is 63 µm. Fly ash cenosphere content is varied from 0, 5, 10, 20, and 40% by weight. Ball-on-disc tribometer is used for evaluating friction and wear properties of the composites at a speed of 200 rpm with an applied normal load of 15 N. Flexural modulus increased with an increase in the filler content by 50% at 40 wt%. Improved FAC dispersion in the polymer matrix was seen through flexural fractured scanning electron micrographs. A 54% increase is also seen in the storage modulus. Matrix-filler compatibility has been studied through dynamic mechanical thermal analysis parameters. No direct correlation between friction and wear was observed. The coefficient of friction of neat resin stands at 0.33, reaching 0.58 for 40 wt% FAC content and the specific wear rate (W s ) decreased up to 20 wt% of FAC content. At 40 wt% FAC loading, specific wear rate increased due to accumulation of FAC particles at the wear interface leading to increased particle-particle interaction resulting in particle-matrix debonding. Abrasive wear is the dominating wear mechanism as per worn surface morphology analyzed through SEM.

Authors

Institutions

Publication Details

Journal
Journal of Reinforced Plastics and Composites
Published
2026-10-15
DOI
https://doi.org/10.1177/07316844261496368
Primary Topic
Polymer Science and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flexural, viscoelastic, and wear behavior of fly ash cenosphere filled polyester resin composites

J. Ramkumar, Shania Zehra Naqvi, Kamal Krishna Kar
Journal of Reinforced Plastics and Composites
Polymer Science and Applications
article

Flexural, viscoelastic, and wear behavior of fly ash cenosphere filled polyester resin composites

J. Ramkumar, Shania Zehra Naqvi, Kamal Krishna Kar
article en

Abstract

The current study deals with the comprehensive analysis of flexural, viscoelastic, and wear properties of industrial waste fly ash cenosphere (FAC). The average particle size (D 50 ) of FAC is 63 µm. Fly ash cenosphere content is varied from 0, 5, 10, 20, and 40% by weight. Ball-on-disc tribometer is used for evaluating friction and wear properties of the composites at a speed of 200 rpm with an applied normal load of 15 N. Flexural modulus increased with an increase in the filler content by 50% at 40 wt%. Improved FAC dispersion in the polymer matrix was seen through flexural fractured scanning electron micrographs. A 54% increase is also seen in the storage modulus. Matrix-filler compatibility has been studied through dynamic mechanical thermal analysis parameters. No direct correlation between friction and wear was observed. The coefficient of friction of neat resin stands at 0.33, reaching 0.58 for 40 wt% FAC content and the specific wear rate (W s ) decreased up to 20 wt% of FAC content. At 40 wt% FAC loading, specific wear rate increased due to accumulation of FAC particles at the wear interface leading to increased particle-particle interaction resulting in particle-matrix debonding. Abrasive wear is the dominating wear mechanism as per worn surface morphology analyzed through SEM.

Journal of Reinforced Plastics and Composites
National Institute of Technology Hamirpur (BD), Indian Institute of Technology Kanpur (IN)
Responsible consumption and production
Openalex Percentile: Top 23%
Polymer Science and Applications
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.