Enhancing Thermal Conductivity in Epoxy Composites with Functionalized Boron Nitride Nanosheets

다국어 초록 (Multilingual Abstract)

This comprehensive study delves into the intricate process of exfoliating and functionalizing boron nitride nanosheets (BNNSs) extracted from hexagonal boron nitride (h-BN), and meticulously explores their potential application within epoxy composites. The extensive research methodology encompasses a sequence of treatments involving hydrothermal and sonication processes aimed at augmenting the dispersion of BNNSs in solvents. Leveraging advanced analytical techniques such as Raman spectroscopy, X-ray diffraction, and FTIR spectroscopy, the study rigorously analyzes a spectrum of changes in the BNNS’s properties, including layer count variations, interlayer interactions, crystal structure modifications, and the introduction of functional groups. The research also rigorously evaluates the impact of integrating BNNSs, specifically glycidyl methacrylate (GMA)-functionalized BNNSs, on the thermal conductivity of epoxy composites. The conclusive findings exhibit notable enhancements in thermal properties, predominantly attributed to the enhanced dispersion of fillers and enhanced interactions within the epoxy matrix. This pioneering work illuminates the wide potential of functionalized BNNSs for significantly enhancing the thermal conductivity of epoxy composites, paving the way for advanced materials engineering and practical applications.

참고문헌 (Reference)

1 L. Zaheed, 24 : 2323-, 2004

2 T. J iang, 79 : 115-, 2013

3 P. Murugapandiyan, 73 : 115449-, 2021

4 L. X. Luo, 56 : 1-, 2016

5 P. Zhang, 14 : 1702769-, 2018

6 H. E. Lee, 55 : 454-, 2019

7 G. Hetsroni, 45 : 3275-, 2002

8 R. S. Prasher, 9 : 285-, 2005

9 W. Zhou, 42 : 1863-, 2007

10 M. W. Akhtar, 102 : 100448-, 2016

11 M. W. Akhtar, 131 : 184-, 2017

12 M. W. Akhtar, 32 : 15307-, 2021

13 Z. Han, 36 : 914-, 2011

14 W. Zhou, 42 : 1863-, 2007

15 V. Guerra, 100 : 170-, 2019

16 J. H. Warner, 4 : 1299-, 2010

17 K. L. Marsh, 51 : 187-, 2015

18 S. Wanga, 47 : 53-, 2009

19 K. Kim, 40 : 2047-, 2014

20 K. Kim, 123 : 99-, 2016

21 J. Lee, 28 : 100935-, 2021

22 S. Bayir, 146 : 106406-, 2021

23 Y. Lin, 115 : 2679-, 2011

24 T. Sainsbury, 134 : 18758-, 2012

25 S. Zhao, 68 : 2965-, 2008

26 R. L iu, 51 : 1788-, 2011