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

• Published in: Data in brief Vol. 39; p. 107676
• Main Authors: Shalygina, T.A., Voronina, S.Yu, Tkachev, A.G., Grotskaya, N.N., Voronchikhin, V.D., Vlasov, A.Yu
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.12.2021; Elsevier
• Subjects: Carbon nanotubes (MWCNT); Data; Epoxy resin; Graphene nanoplates (GNP); Thermal conductivity; Graphene nanoplates (GNP); Carbon nanotubes (MWCNT); Epoxy resin; Thermal conductivity
• ISSN: 2352-3409; 2352-3409
• DOI: 10.1016/j.dib.2021.107676

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.