The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Highly thermal conductive and electrical insulating polymer composites with boron nitride
Abstract
Abstract The heat accumulation has become a serious problem due to electronic devices towards high power and intelligence. Highly thermal conductive and electrical insulating polymeric composites are potential to solving the overheating problem of electronic devices. Herein, boron nitride nanosheets (BNNSs) were successfully exfoliated by shear forces generated high pressure. Then, BNNSs and sphere BN (S-BN) were added into the polydimethylsiloxane (PDMS) matrix to prepare composites. The thermal conductivity of the BNNSs/PDMS composites achieved 1.16 W m-1 K-1 at 35 wt% fillers, which is almost 5 times that of pure PDMS and higher than that of S-BN/PDMS composites. The efficient thermal paths were constructed by BNNSs in PDMS matrix leading to enhancing the thermal transport in polymer matrix. Meanwhile, the volume resistances and breakdown strength of BNNSs/PDMS composites reach 7.5 × 1013 Ω cm and 39.8 V/μm, which are attributed to the superior electrical insulating properties of BNNSs. The result shows that the excellent thermal conductivity and electrical insulation properties of BNNSs/PDMS make it a promising application in the field of thermal management.
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Cites
Graphene: Status and Prospects
Geim, A. K. (2009) · Science · doi:10.1126/science.1158877 · Cited by 13,942
Graphene-based composite materials
Stankovich, S., Dikin, D. A., Dommett, G. H. B., Kohlhaas, K. M., Zimney, E. J., Stach, E. A., Piner, R. D., Nguyen, S. T., & Ruoff, R. S. (2006) · Nature · doi:10.1038/nature04969 · Cited by 12,922
Two-dimensional atomic crystals
Novoselov, K. S., Jiang, D., Schedin, F., Booth, T. J., Khotkevich, V. V., Morozov, S. V., & Geim, A. K. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0502848102 · Cited by 11,788
Functionalized graphene sheets for polymer nanocomposites
Ramanathan, T., Abdala, A. A., Stankovich, S., Dikin, D. A., Herrera-Alonso, M., Piner, R. D., Adamson, D. H., Schniepp, H. C., Chen, X., Ruoff, R. S., et al. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2008.96 · Cited by 3,470
Large Scale Growth and Characterization of Atomic Hexagonal Boron Nitride Layers
Song, L., Ci, L., Lu, H., Sorokin, P. B., Jin, C., Ni, J., Kvashnin, A. G., Kvashnin, D. G., Lou, J., Yakobson, B. I., et al. (2010) · Nano Letters · doi:10.1021/nl1022139 · Cited by 2,689
Paton, K. R., Varrla, E., Backes, C., Smith, R. J., Khan, U., O’Neill, A., Boland, C., Lotya, M., Istrate, O. M., King, P., et al. (2014) · Nature Materials · doi:10.1038/nmat3944 · Cited by 2,401
Synthesis of Few-Layer Hexagonal Boron Nitride Thin Film by Chemical Vapor Deposition
Shi, Y., Hamsen, C., Jia, X., Kim, K. K., Reina, A., Hofmann, M., Hsu, A., Zhang, K., Li, H., Juang, Z., et al. (2010) · Nano Letters · doi:10.1021/nl1023707 · Cited by 1,231
Hunting for Monolayer Boron Nitride: Optical and Raman Signatures
Gorbachev, R. V., Riaz, I., Nair, R. R., Jalil, R., Britnell, L., Belle, B. D., Hill, E. W., Novoselov, K. S., Watanabe, K., Taniguchi, T., et al. (2011) · Small · doi:10.1002/smll.201001628 · Cited by 1,151
PDMS with designer functionalities—Properties, modifications strategies, and applications
Wolf, M. P., Salieb-Beugelaar, G. B., & Hunziker, P. (2018) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2018.06.001 · Cited by 853
Strong Oxidation Resistance of Atomically Thin Boron Nitride Nanosheets
Li, L. H., Cervenka, J., Watanabe, K., Taniguchi, T., & Chen, Y. (2014) · ACS Nano · doi:10.1021/nn500059s · Cited by 821
Metadata
- Authors
- Li, M., Wang, M., Hou, X., Zhan, Z., Wang, H., Fu, H., Lin, C.-T., Fu, L., Jiang, N., & Yu, J.
- Venue
- Composites Part B: Engineering
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 184
- Pages
- 107746
- ISSN
- 1359-8368 (ISSN-L)
- OpenAlex
- W2998532513
- Cited by
- 257
- References
- 33
- FWCI
- 12.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, M., Wang, M., Hou, X., Zhan, Z., Wang, H., Fu, H., Lin, C.-T., Fu, L., Jiang, N., & Yu, J. (2020). Highly thermal conductive and electrical insulating polymer composites with boron nitride. Composites Part B: Engineering. https://doi.org/10.1016/j.compositesb.2020.107746
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