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Processing-morphology-property relationships and composite theory analysis of reduced graphene oxideatural rubber nanocomposites

机译:氧化石墨烯/天然橡胶纳米复合材料的加工-形态-性能关系及复合理论分析

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Dispersion of reduced graphene oxide (RG-O) into natural rubber (NR) was found to dramatically enhance the mechanical, electrical, and thermal properties of NR. However, property improvements were strongly dependent upon the processing history and nanocomposite morphology. Co-coagulating a stable RG-O suspension with NR latex afforded a weblike morphology consisting of platelet networks between the latex particles, while two-roll mill processing broke down this structure, yielding a homogeneous and improved dispersion. The physical properties of RG-O/NR vulcanizates with both morphologies were compared over a range of loadings; it was found that the network morphology was highly beneficial for thermal and electrical conductivity properties and greatly increased stiffness but was detrimental to elongation. A detailed comparative analysis of composite models found the Guth equation gave excellent fit to modulus data of the milled samples when taking the shape factor as equal to the platelet aspect ratio quantified from transmission electron microscopy analysis.
机译:发现将还原的氧化石墨烯(RG-O)分散到天然橡胶(NR)中可以显着增强NR的机械,电气和热性能。但是,性能的提高在很大程度上取决于加工历史和纳米复合材料的形态。将稳定的RG-O悬浮液与NR乳胶共混凝,可得到网状形态,其中包括乳胶颗粒之间的血小板网络,而两辊磨处理则破坏了这种结构,从而产生了均匀且改善的分散性。在负载范围内比较了两种形态的RG-O / NR硫化橡胶的物理性能。已经发现,网络形态对于导热性和导电性特性是非常有益的,并且大大增加了刚度,但不利于伸长。对复合材料模型进行的详细比较分析发现,当形状因子等于通过透射电子显微镜分析定量的血小板长径比时,古斯方程非常适合碾磨过的样品的模量数据。

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