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Data on the synergistic effect of a hybrid filler based on graphene nanoplates and multiwalled nanotubes for increasing the thermal conductivity of an epoxy composite.
Shalygina, T A; Voronina, S Yu; Tkachev, A G; Grotskaya, N N; Voronchikhin, V D; Vlasov, A Yu.
  • Shalygina TA; Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia.
  • Voronina SY; Siberian Federal University, Krasnoyarsk, Russia.
  • Tkachev AG; Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia.
  • Grotskaya NN; Tambov State Technical University, Tambov, Russia.
  • Voronchikhin VD; Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia.
  • Vlasov AY; Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia.
Data Brief ; 39: 107676, 2021 Dec.
Article en En | MEDLINE | ID: mdl-34934788
ABSTRACT
The dataset contains raw files related to the manuscript "The synergistic effect of a hybrid filler based on graphene nanoplates and multiwalled nanotubes for increasing the thermal conductivity of an epoxy composite" (Shalygina T.A. et al., 2021). The study presents the values of the heat capacity used to calculate the coefficients of thermal conductivity of epoxy composites by combining one-dimensional multiwalled nanotubes (MWCNTs) and two-dimensional graphene nanoplates (GNPs) in the role of a heat-conducting filler. To determine the heat capacity of materials with different concentrations of hybrid filler (GNP/MWCNT), the method of differential scanning calorimetry in the mode of the heat flux modulation was used. The analysis of the heat flux modulation samples is presented in raw and processed form. The materials scientists may apply the dataset to an in-depth study of the thermal conductivity formation mechanisms in composites doped with carbon-containing substances.
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