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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

机译:基于石墨烯纳米层的杂交填料的协同效应和多壁纳米管来增加环氧复合材料的热导率的数据

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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.
机译:数据集包含与原稿相关的原始文件“基于石墨烯纳米板和多壁纳米管的混合填料的协同效应,以增加环氧树脂复合材料的导热率”(Shalygina T.A.Et'Al.,2021)。 该研究呈现了用于计算环氧复合材料的热导率系数通过将一维多晶的纳米管(MWCNTS)和二维石墨烯纳米板(GNPS)在导热填料的作用中计算环氧树脂复合材料的热量系数的值。 为了确定具有不同浓度的杂交填料(GNP / MWCNT)的材料的热量,使用了在热通量调制模式中的差示扫描量热法。 热通量调制样品的分析以原料和加工形式呈现。材料科学家可以将数据集应用于掺杂含碳物质的复合材料中的热导电形成机制的深入研究。

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