Preparation and thermal conduction mechanism of highly thermally conductive <scp>PA6</scp>/<scp>Al<sub>2</sub>O<sub>3</sub></scp>/<scp>GNP</scp> composites via dynamic reactive blending

Abstract Highly thermally conductive polyamide 6 (PA6)/aluminum oxide (Al 2 O 3 )/graphene nanoplatelet (GNP) composites were fabricated through dynamic reactive blending. By utilizing the synergistic effect of low viscosity monomer and dynamic shear, uniform dispersion of Al 2 O 3 and GNP in the PA6 matrix was achieved, forming efficient thermal conductive networks. Structural and morphological analyses confirmed the homogeneous dispersion of fillers and good interfacial bonding characteristics. The results showed that when Al 2 O 3 and GNP contents were 43 and 7 wt%, respectively, the thermal conductivity reached 2.71 W/m·K, representing a 984% enhancement over neat PA6 and a 45.7% improvement compared to melt‐blended composites. The P‐S theoretical model was employed to understand the underlying mechanism, showing good agreement between theoretical calculations and experimental results. LED heat dissipation tests demonstrated excellent thermal response characteristics and temperature stability of the composites in practical thermal management applications, indicating their promising potential in electronic cooling applications. Highlights Dynamic reactive blending was used to prepare thermal conductive composites. Low viscosity of monomer and dynamic shear promoted uniform dispersion of fillers. The composites showed thermal conductivity of 2.71 W/m·K, 984% higher than neat PA6. P‐S model showed enhanced parallel effect reduced interfacial thermal resistance. Composites demonstrated effective heat dissipation in LED thermal management tests.

Authors

Institutions

Publication Details

Journal
Polymer Composites
Published
2025-02-06
DOI
https://doi.org/10.1002/pc.29571
Citations
1
Primary Topic
Thermal properties of materials
Type
article
Field-Weighted Citation Impact
0.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preparation and thermal conduction mechanism of highly thermally conductive PA6/Al2O3/GNP composites via dynamic reactive blending

Fangjuan Wu, Hui Fang, Ce Ji, Haitao Huang et al.
1 citations
Polymer Composites
Thermal properties of materials
0.52
article

Preparation and thermal conduction mechanism of highly thermally conductive PA6/Al2O3/GNP composites via dynamic reactive blending

Fangjuan Wu, Hui Fang, Ce Ji, Haitao Huang, Huolin Zhong
article en
1 citations

Abstract

Abstract Highly thermally conductive polyamide 6 (PA6)/aluminum oxide (Al 2 O 3 )/graphene nanoplatelet (GNP) composites were fabricated through dynamic reactive blending. By utilizing the synergistic effect of low viscosity monomer and dynamic shear, uniform dispersion of Al 2 O 3 and GNP in the PA6 matrix was achieved, forming efficient thermal conductive networks. Structural and morphological analyses confirmed the homogeneous dispersion of fillers and good interfacial bonding characteristics. The results showed that when Al 2 O 3 and GNP contents were 43 and 7 wt%, respectively, the thermal conductivity reached 2.71 W/m·K, representing a 984% enhancement over neat PA6 and a 45.7% improvement compared to melt‐blended composites. The P‐S theoretical model was employed to understand the underlying mechanism, showing good agreement between theoretical calculations and experimental results. LED heat dissipation tests demonstrated excellent thermal response characteristics and temperature stability of the composites in practical thermal management applications, indicating their promising potential in electronic cooling applications. Highlights Dynamic reactive blending was used to prepare thermal conductive composites. Low viscosity of monomer and dynamic shear promoted uniform dispersion of fillers. The composites showed thermal conductivity of 2.71 W/m·K, 984% higher than neat PA6. P‐S model showed enhanced parallel effect reduced interfacial thermal resistance. Composites demonstrated effective heat dissipation in LED thermal management tests.

Polymer CompositesVol. 46(10)
Fujian University of Technology (CN)
Openalex Percentile: Top 42%
Thermal properties of materials
0.52
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.