论文标题
分析建模和实验优化对聚氨酯纳米复合材料的热导率增强的协同作用，杂交碳纳米填料
Analytical modeling and experimentally optimizing synergistic effect on thermal conductivity enhancement of polyurethane nanocomposites with hybrid carbon nanofillers
论文作者
论文摘要
通过形成有效的导电网络，将各种碳纳米列组合具有不同尺寸的碳纳米列会导致协同效应。制造了含有多壁碳纳米管（MWCNT）和石墨烯纳米片（GNP）的杂化聚氨酯（PU）纳米复合材料（GNPS），以研究热导率（TC）增强的实验和理论方面。进行混合纳米纤维组合的优化是为了使用各种类型的GNP，不同的纳米燃料浓度和不同比率协同增强TC。在低纳米填料含量上证实了MWCNT和GNPS和GNP的协同导热率提高。在0.25 wt％下的杂化纳米复合材料的TC大约等于单个纳米填料的TC，为0.75 wt％。考虑了单个和杂化纳米复合材料的有效导热率的分析模型，并具有体积分数，界面热电阻，纳米填料的直度和渗透效应的变量，其中修改模型的预测与实验结果一致。
Combining various carbon nanofillers with different dimensions can lead to a synergistic effect through the formation of an efficient conductive network. Hybrid polyurethane (PU) nanocomposites containing multi-walled carbon nanotubes (MWCNTs) and graphene nanoplatelets (GNPs) were fabricated to study experimental and theoretical aspects of thermal conductivity (TC) enhancement. The optimization of hybrid nanofillers combinations was done to synergically enhance the TC using various types of GNPs, different nanofillers concentrations and varied ratios. A synergistic thermal conductivity improvement with MWCNTs and GNPs was confirmed at low nanofillers contents. The TC of hybrid nanocomposite at 0.25 wt% is approximately equivalent to the TC of individual nanofillers at 0.75 wt%. An analytical model for the effective thermal conductivity of single and hybrid nanocomposites was considered with variables of volume fraction, interfacial thermal resistance, straightness of the nanofillers and the percolation effect, in which the predictions of the modified models agree with the experimental results.
