Contrast-enhanced imaging of carbon fiber composites using hafnium oxide nanocrystals

Carbon fiber-reinforced polymers (CFRPs) are of utmost importance in high-performance structural applications due to their unique combination of light-weight, yet high-strength behaviour. However, their behaviour and damage mechanisms are not fully understood. Damage propagation models need to take into account the type, geometry and orientation of a multitude of failure mechanisms and defects. Micro-Computed Tomography (micro-CT) data could provide the necessary input for these models, but the poor contrast between the carbon fibers and the polymer matrix does not allow automatic geometry extraction needed as input. To overcome this issue, hafnium oxide nanocrystals (HfO<sub>2</sub> NCs) were introduced as CT contrast agents to the polymer matrix to provide the required contrast. To ensure a homogeneous and stable dispersion of the NCs in the epoxy resin, a bisphosphonic acid ligand consisting of ethylene glycol oligomer segments was used. The NCs did not significantly alter important parameters such as matrix stiffness, viscosity, glass transition temperature and curing time, enabling them to be implemented without having to alter current composite resin infusion methods. NC-doped CFRPs with 5 and 10 m% of HfO<sub>2</sub> NCs added showed a drastic improvement in CT contrast, allowing for segmentation of the carbon fiber tows and visualization of micrometer-scale cracks. The contrast-enhanced NC-doped composites thereby enable the validation of damage models by accurate micro-CT data.

Authors

Institutions

Publication Details

Journal
Nanoscale
Published
2025-01-01
DOI
https://doi.org/10.1039/d4nr04561k
Citations
3
Primary Topic
Ion-surface interactions and analysis
Type
article
Field-Weighted Citation Impact
4.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Contrast-enhanced imaging of carbon fiber composites using hafnium oxide nanocrystals

Jonathan De Roo, Matthieu Boone, Isabel Van Driessche, John De Vos et al.
3 citations
Nanoscale
Ion-surface interactions and analysis
4.00
article

Contrast-enhanced imaging of carbon fiber composites using hafnium oxide nanocrystals

Jonathan De Roo, Matthieu Boone, Isabel Van Driessche, John De Vos, Wim Van Paepegem, Eline Goossens, Evert Dhaene, Ives De Baere, Yuriy Sinchuk, Klaartje De Buysser, Pauline Rooms
article en
3 citations

Abstract

Carbon fiber-reinforced polymers (CFRPs) are of utmost importance in high-performance structural applications due to their unique combination of light-weight, yet high-strength behaviour. However, their behaviour and damage mechanisms are not fully understood. Damage propagation models need to take into account the type, geometry and orientation of a multitude of failure mechanisms and defects. Micro-Computed Tomography (micro-CT) data could provide the necessary input for these models, but the poor contrast between the carbon fibers and the polymer matrix does not allow automatic geometry extraction needed as input. To overcome this issue, hafnium oxide nanocrystals (HfO<sub>2</sub> NCs) were introduced as CT contrast agents to the polymer matrix to provide the required contrast. To ensure a homogeneous and stable dispersion of the NCs in the epoxy resin, a bisphosphonic acid ligand consisting of ethylene glycol oligomer segments was used. The NCs did not significantly alter important parameters such as matrix stiffness, viscosity, glass transition temperature and curing time, enabling them to be implemented without having to alter current composite resin infusion methods. NC-doped CFRPs with 5 and 10 m% of HfO<sub>2</sub> NCs added showed a drastic improvement in CT contrast, allowing for segmentation of the carbon fiber tows and visualization of micrometer-scale cracks. The contrast-enhanced NC-doped composites thereby enable the validation of damage models by accurate micro-CT data.

NanoscaleVol. 17(16)
University of Basel (CH), Ghent University (BE)
Universität Basel, Agentschap Innoveren en Ondernemen, Fonds Wetenschappelijk Onderzoek, Universiteit Gent, Vlaamse regering, Bijzonder Onderzoeksfonds UGent
Openalex Percentile: Top 8%
Ion-surface interactions and analysis
4.00
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.