Shape Memory Properties of Short-Glass Fiber Reinforced Epoxy Composite Programmed below Glass Transition Temperature

A Shape Memory Polymer Composite (SMPC) is developed by reinforcing an epoxy-based polymer with randomly oriented short glass fibers. Diverging from previous research, which primarily focused on the hot programming of short glass fiber-based SMPCs, this work explores the potential for programming below the glass transition temperature (Tg) for epoxy-based SMPCs. To mitigate the inherent brittleness of the SMPC during deformation, a linear polymer is incorporated, and a temperature between room temperature and Tg is chosen as the deformation temperature to study the shape memory properties. The findings demonstrate an enhancement in shape fixity and recovery stress, alongside a reduction in shape recovery, with the incorporation of short glass fibers. In addition to tensile properties, thermal properties such as thermal conductivity, specific heat capacity, and glass transition temperature are investigated for their dependence on fiber content. Microscopic properties, such as fiber-matrix adhesion and the dispersion of glass fibers, are examined through Scanning Electron Microscope imaging. The fiber length distribution and mean fiber lengths are also measured for different fiber fractions.

Authors

Publication Details

Journal
JOURNAL OF POLYMER MATERIALS
Published
2025-01-01
DOI
https://doi.org/10.32604/jpm.2025.062481
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Shape Memory Properties of Short-Glass Fiber Reinforced Epoxy Composite Programmed below Glass Transition Temperature

Regi P. Mohan, V. Ramachandran, Kartikey Shahi, B. E. Ramachandran
JOURNAL OF POLYMER MATERIALS
Polymer composites and self-healing
article

Shape Memory Properties of Short-Glass Fiber Reinforced Epoxy Composite Programmed below Glass Transition Temperature

Regi P. Mohan, V. Ramachandran, Kartikey Shahi, B. E. Ramachandran
article en

Abstract

A Shape Memory Polymer Composite (SMPC) is developed by reinforcing an epoxy-based polymer with randomly oriented short glass fibers. Diverging from previous research, which primarily focused on the hot programming of short glass fiber-based SMPCs, this work explores the potential for programming below the glass transition temperature (Tg) for epoxy-based SMPCs. To mitigate the inherent brittleness of the SMPC during deformation, a linear polymer is incorporated, and a temperature between room temperature and Tg is chosen as the deformation temperature to study the shape memory properties. The findings demonstrate an enhancement in shape fixity and recovery stress, alongside a reduction in shape recovery, with the incorporation of short glass fibers. In addition to tensile properties, thermal properties such as thermal conductivity, specific heat capacity, and glass transition temperature are investigated for their dependence on fiber content. Microscopic properties, such as fiber-matrix adhesion and the dispersion of glass fibers, are examined through Scanning Electron Microscope imaging. The fiber length distribution and mean fiber lengths are also measured for different fiber fractions.

JOURNAL OF POLYMER MATERIALSVol. 42(2)
Openalex Percentile: Top 94%
Polymer composites and self-healing
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.

Shape Memory Properties of Short-Glass Fiber Reinforced Epoxy Composite Programmed below Glass Transition Temperature — Regi P. Mohan, V. Ramachandran, et al. · JOURNAL OF POLYMER MATERIALS (2025) | TGRS Research Map | TGRS