Characterization of damage in non-crimp fabric glass fiber-reinforced reactive thermoplastic composites at low temperature using an in-situ digital imaging technique

An in-situ digital imaging technique was developed to characterize damage in non-crimp fabric glass fiber/reactive thermoplastic cross-ply laminates subjected to tensile loading at −50 °C. A custom algorithm was developed to automatically detect the initiation and growth of 90° tow cracks, matrix cracks, and 0° tow cracks through image stacking, shift-correction, and thresholding. The laminates exhibited four stages of deformation/damage, including linear elastic, onset/growth of 90° fiber tow cracks, onset/growth of 0° fiber tow cracks, and progressive failure of 0° fiber tows. Although at low temperature the effective laminate strength and stiffness increased by 4 % and 13 %, respectively, damage initiated sooner and propagated at a higher rate leading to a 60 % increase in crack density at saturation. The digital imaging technique proved to effectively detect local damage in the glass fiber/thermoplastic laminates, which led to a deeper understanding of their low-temperature deformation response, damage characteristics, and damage tolerance.

Authors

Institutions

Publication Details

Journal
Composites Part A Applied Science and Manufacturing
Published
2024-12-19
DOI
https://doi.org/10.1016/j.compositesa.2024.108674
Citations
5
Primary Topic
Mechanical Behavior of Composites
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization of damage in non-crimp fabric glass fiber-reinforced reactive thermoplastic composites at low temperature using an in-situ digital imaging technique

John Montesano, Erli Shi
5 citations
Composites Part A Applied Science and Manufacturing
Mechanical Behavior of Composites
1.35
article

Characterization of damage in non-crimp fabric glass fiber-reinforced reactive thermoplastic composites at low temperature using an in-situ digital imaging technique

John Montesano, Erli Shi
article en
5 citations

Abstract

An in-situ digital imaging technique was developed to characterize damage in non-crimp fabric glass fiber/reactive thermoplastic cross-ply laminates subjected to tensile loading at −50 °C. A custom algorithm was developed to automatically detect the initiation and growth of 90° tow cracks, matrix cracks, and 0° tow cracks through image stacking, shift-correction, and thresholding. The laminates exhibited four stages of deformation/damage, including linear elastic, onset/growth of 90° fiber tow cracks, onset/growth of 0° fiber tow cracks, and progressive failure of 0° fiber tows. Although at low temperature the effective laminate strength and stiffness increased by 4 % and 13 %, respectively, damage initiated sooner and propagated at a higher rate leading to a 60 % increase in crack density at saturation. The digital imaging technique proved to effectively detect local damage in the glass fiber/thermoplastic laminates, which led to a deeper understanding of their low-temperature deformation response, damage characteristics, and damage tolerance.

Composites Part A Applied Science and ManufacturingVol. 190
University of Waterloo (CA)
Sustainable cities and communities
Openalex Percentile: Top 22%
Mechanical Behavior of Composites
1.35
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.

Characterization of damage in non-crimp fabric glass fiber-reinforced reactive thermoplastic composites at low temperature using an in-situ digital imaging technique — John Montesano, Erli Shi · Composites Part A Applied Science and Manufacturing (2024) | TGRS Research Map | TGRS