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Electrical conductivity of graphene filled PLA/PMMA blends: Experimental investigation and modeling

机译:石墨烯填充PLA / PMMA共混物的电导率:实验研究和建模

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In order to gain a fundamental understanding about the influences of filler characteristic on the electrical properties of polymer blend nanocomposites two types of graphene, graphene nanoplates (GNPs) and functionalized graphene (FG), were added to immiscible blend of poly (lactic acid)/poly(methyl methacrylate) (PLA/PMMA) and experimental and theoretical studies were carried out. Structure and properties of graphenic nanoparticles were investigated by Raman spectroscopy, elemental analysis, thermogravimetric analysis (TGA), Fourier transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD). The state of dispersion and distribution of fillers within the blend were examined by field emission scanning electron microscopy, Atomic force microscopy, transmission electron microscopy as well as XRD patterns. Theoretical modeling was carried out by several statistical and thermodynamic based models. Results showed that FG was more homogenously dispersed in the PLA matrix compared with GNP which results in lower percolation threshold and better electrical conductivity in the FG filled blends, despite its poor intrinsic electrical conductivity. For the PLA/PMMA blends filled composites, electrical conductivity modeling results showed that thermodynamic-based models exhibit more satisfactory estimations than Power law statistical model. Thus, the electrical conductivity of two-phase polymer blend filled with graphenic materials is predictable with thermodynamic models. POLYM. COMPOS., 40:704-715, 2019. (c) 2018 Society of Plastics Engineers
机译:为了获得关于填充物特性对聚合物共混物的电性能的影响,将两种石墨烯,石墨烯纳米板(GNP)和官能化石墨烯(FG)加入到聚(乳酸)/进行聚(甲基丙烯酸甲酯)(PLA / PMMA)和实验和理论研究。通过拉曼光谱,元素分析,热重分析(TGA),傅里叶变换红外光谱(FTIR)和X射线衍射(XRD)研究了石墨纳米粒子的结构和性质。通过现场发射扫描电子显微镜,原子力显微镜,透射电子显微镜以及XRD图案来检查混合物内填料的分散和分布的状态。由几种统计和热力学的模型进行理论建模。结果表明,与GNP相比,在PLA矩阵中更均匀地分散在PLA矩阵中,这导致较低的渗透阈值和在FG填充混合物中的更好的导电性,尽管其固有的内在电导率差。对于PLA / PMMA混合填充复合材料,导电性建模结果表明,基于热力学的模型表现出比权力律统计模型更令人满意的估计。因此,用热力学模型可预测填充有石墨材料的两相聚合物共混物的导电性。聚合物。 Compos。,40:704-715,2019。(c)2018年塑料工程师协会

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