Elastomers and Composites

The Rubber Society of Korea (한국고무학회)
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High Thermal Conductive Natural Rubber Composites Using Aluminum Nitride and Boron Nitride Hybrid Fillers

  • Chung, June-Young (Department of Polymer Science and Engineering, Sungkyunkwan University) ;
  • Lee, Bumhee (Department of Energy Science, Sungkyunkwan University) ;
  • Park, In-Kyung (Department of Polymer Science and Engineering, Sungkyunkwan University) ;
  • Park, Hyun Ho (Elastomer & Tribology Materials Development Team, Hyundal Motor Company) ;
  • Jung, Heon Seob (Elastomer & Tribology Materials Development Team, Hyundal Motor Company) ;
  • Park, Joon Chul (Elastomer & Tribology Materials Development Team, Hyundal Motor Company) ;
  • Cho, Hyun Chul (Elastomer & Tribology Materials Development Team, Hyundal Motor Company) ;
  • Nam, Jae-Do (Department of Polymer Science and Engineering, Sungkyunkwan University)
  • Received : 2020.02.11
  • Accepted : 2020.02.20
  • Published : 2020.03.31
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Abstract

Herein, we investigated the thermal conductivity and thermal stability of natural rubber composite systems containing hybrid fillers of boron nitride (BN) and aluminum nitride (AlN). In the hybrid system, the bimodal distribution of polygonal AlN and planar BN particles provided excellent filler-packing efficiency and desired energy path for phonon transfer, resulting in high thermal conductivity of 1.29 W/mK, which could not be achieved by single filler composites. Further, polyethylene glycol (PEG) was compounded with a commonly used naphthenic oil, which substantially increased thermal conductivity to 3.51 W/mK with an excellent thermal stability due to facilitated energy transfer across the filler-filler interface. The resulting PEG-incorporated hybrid composite showed a high thermal degradation temperature (T2) of 290℃, a low coefficient of thermal expansion of 26.4 ppm/℃, and a low thermal distortion parameter of 7.53 m/K, which is well over the naphthenic oil compound. Finally, using the Fourier's law of conduction, we suggested a modeling methodology to evaluate the cooling performance in thermal management system.

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References

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