4.8 Article

Reduced Graphene Oxide Heterostructured Silver Nanoparticles Significantly Enhanced Thermal Conductivities in Hot-Pressed Electrospun Polyimide Nanocomposites

期刊

ACS APPLIED MATERIALS & INTERFACES
卷 11, 期 28, 页码 25465-25473

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsami.9b10161

关键词

Ag/reduced graphene oxide (Ag/rGO); electrospinning; thermal conductivity; polyimide nanocomposites; thermal conduction model

资金

  1. National Natural Science Foundation of China [51773169]
  2. Natural Science Basic Research Plan for Distinguished Young Scholars in Shaanxi Province of China [2019JC-11]
  3. Natural Science Basic Research Plan in Shaanxi Province of China [2018JM5001]
  4. Open Fund from the State Key Laboratory of Solid Lubrication of Lanzhou Institute of Chemical Physics [LSL-1715]
  5. Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University [CX201920]

向作者/读者索取更多资源

Graphene presents an extremely ultra-high thermal conductivity, well above other known thermally conductive fillers. However, graphene tends to aggregate easily due to its strong intermolecular pi-pi interaction, resulting in poor dispersion in the polymer matrix. In this study, silver nanoparticles anchored reduced graphene oxide (Ag/rGO) were first prepared using one-pot synchronous reduction of Ag+ and GO solution via glucose. The thermally conductive (Ag/rGO)/polyimide ((Ag/rGO)/PI) nanocomposites were then obtained via electrospinning the in situ polymerized (Ag/rGO)/polyamide electrospun suspension followed by a hot-press technique. The thermal conductivity (lambda), glass transition temperature (T-g), and heat resistance index (T-HRI) of the (Ag/rGO)/PI nanocomposites all increased with increasing the loading of Ag/rGO fillers. When the mass fraction of Ag/rGO (the weight ratio of rGO to Ag was 4:1) fillers was 15%, the corresponding (Ag/rG0)/PI nanocomposites showed a maximum lambda of 2.12 W/(m K). The corresponding T-g and T-HRI values were also enhanced to 216.1 and 298.6 degrees C, respectively. Furthermore, thermal conductivities calculated by our established improved thermal conduction model were relatively closer to the experimental results than the results obtained from other classical models.

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