Highly ordered BN ⊥ –BN ⊥ stacking structure for improved thermally conductive polymer composites

Ghosh, Barun, Xu, Fang, Grant, David M., Giangrande, Paolo, Gerada, Chris, George, Michael W. and Hou, Xianghui (2020) Highly ordered BN ⊥ –BN ⊥ stacking structure for improved thermally conductive polymer composites. Advanced Electronic Materials . p. 2000627. ISSN 2199-160X

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Abstract

The substantial heat generation in modern electronic devices is one of the major issues requiring efficient thermal management. This work demonstrates a novel concept for the design of thermally conducting networks inside a polymer matrix for the development of highly thermally conductive composites. Highly ordered hexagonal boron nitride (hBN) structures are obtained utilizing a freeze-casting method. These structures are then thermally sintered to get a continuous network of BN⊥–BN⊥ of high thermal conductivity in which a polymer matrix can be impregnated, enabling a directional and thermally conducting composite. The highest achieved thermal conductivity (K) is 4.38 W m−1 K−1 with a BN loading of 32 vol%. The effect of sintering temperatures on the K of the composite is investigated to optimize connectivity and thermal pathways while maintaining an open structure (porosity ≈ 2.7%). The composites also maintain good electrical insulation (volume resistivity ≈ 1014 Ω cm). This new approach of thermally sintering BN⊥–BN⊥ aligned structures opens up a new avenue for the design and preparation of filler alignment in polymer-based composites for improving the thermal conductivity while maintaining high electrical resistance, which is a topic of interest in electronic packaging and power electronics applications.

Item Type: Article
Additional Information: Date of acceptance estimated
Keywords: filler alignments; hexagonal boron nitride; high-temperature sintering; polymer composites; thermal conductivity
Schools/Departments: University of Nottingham Ningbo China > Faculty of Science and Engineering > Department of Chemical and Environmental Engineering
Identification Number: 10.1002/aelm.202000627
Depositing User: Yu, Tiffany
Date Deposited: 27 Oct 2020 02:19
Last Modified: 27 Oct 2020 02:19
URI: https://eprints.nottingham.ac.uk/id/eprint/63625

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