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Molecular Dynamics Simulation of Key Physical Properties of Graphene Oxide / Epoxy Resin Nanocomposite Dielectrics

机译:石墨烯氧化物/环氧树脂纳米复合电介质关键物理性质的分子动力学模拟

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With the rapid development of power systems, greater demands have been put on the physical properties of insulating materials. Doping with functional nanomaterials is an effective method to modify such materials. In this work, epoxy resin is doped with graphene oxide at different concentrations by molecular dynamics simulation. After doping, the relative permittivity, thermal expansion coefficient, molecular chain segment motion, and free volume ratio of the system is decreased, and the thermal conductivity, Young's modulus, bulk modulus, and shear modulus are enhanced; changes in glass transition temperature are negligible. Doping with graphene oxide improves the thermal and mechanical properties, and this improvement increases with increasing dopant amount. However, when dopant concentration is too high, agglomeration occurs, which hinders insulation performance. Therefore, the optimum doping concentration is the highest at which no agglomeration occurs. This paper provides guidance for the future modification of insulating materials.
机译:随着电力系统的快速发展,预示着绝缘材料的物理性质更大的要求。用功能性纳米材料掺杂是改变这些材料的有效方法。在这项工作中,通过分子动力学模拟以不同浓度的氧化石墨烯树脂掺杂环氧树脂。掺杂后,减小了系统的相对介电常数,热膨胀系数,分子链段运动和自由体积比,并且增强了导热系数,杨氏模量,散装模量和剪切模量;玻璃化转变温度的变化可忽略不计。用石墨烯氧化物掺杂改善了热和机械性能,并且这种改善随着掺杂剂的增加而增加。然而,当掺​​杂剂浓度过高时,发生凝聚,阻碍了绝缘性能。因此,最佳掺杂浓度是不发生聚集的最高。本文为未来的绝缘材料进行了指导。

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