首页> 外文会议>Biennial International Conference on Engineering, Science, Construction, and Operations in Challenging Environments >Predicting the Effective Mechanical Properties of Graphene Nanoplatelet-Carbon Fiber-Epoxy Hybrid Composites Using ReaxFF: A Multiscale Modeling
【24h】

Predicting the Effective Mechanical Properties of Graphene Nanoplatelet-Carbon Fiber-Epoxy Hybrid Composites Using ReaxFF: A Multiscale Modeling

机译:使用Reaxff预测石墨烯纳米克丝碳纤维 - 环氧杂交复合材料的有效机械性能:多尺度建模

获取原文

摘要

Numerous research efforts have been focused on developing lightweight epoxy-based composite materials that can rival expensive metal alloys in specific aerospace structural components. Due to their high-specific stiffness and strength and corrosion resistance, epoxy-graphene nanoplatelets (GNP) composite materials can be used as the matrix of carbon fiber-reinforced hybrid composites. This work provides a multiscale computational analysis to simulate the hybrid composite and predict its effective mechanical properties. The work-flow of this study involves two main sequential stages that can be specified towards acquiring the effective mechanical properties of the hybrid composite. Molecular dynamics (MD) simulations using large-scale atomic/molecular massively parallel simulator (LAMMPS) to create a nanoscale unit cell from EPON 862-DETDA epoxy and GNP was the first stage. The reactive force field (ReaxFF) was chosen to represent the atomic/molecular level interactions in these simulations. The interaction between aromatic rings in epoxy molecules and GNP was investigated in this study. It was found that such interactions can affect the spatial density distribution of the epoxy molecules at the GNP/epoxy interphase. The second stage involved a micromechanical analysis of the carbon fiber-reinforced hybrid composite using NASA's micromechanics analysis code based on the generalized method of cells (MAC/GMC). The effective mechanical properties of the hybrid composite were predicted at different volume fractions of GNP in the composite matrix.
机译:众多的研究努力集中在开发轻质环氧树脂基复合材料上,这些复合材料可以在特定航空结构部件中竞争昂贵的金属合金。由于它们的高特异性刚度和强度和耐腐蚀性,环氧树脂 - 石墨烯纳米孔(GNP)复合材料可用作碳纤维增强杂化复合材料的基质。这项工作提供了多尺度计算分析,以模拟混合复合材料并预测其有效的机械性能。该研究的工作流程涉及两个主要顺序阶段,可以指定用于获取杂化复合材料的有效机械性能。使用大规模原子/分子量平行的模拟器(LAMMP)的分子动力学(MD)模拟从EPON 862-DECDA环氧树脂和GNP产生纳米级单元电池是第一阶段。选择反应力场(Reaxff)以表示这些模拟中的原子/分子水平相互作用。本研究研究了环氧分子和GNP中芳环之间的相互作用。发现这种相互作用可以影响环氧树脂在GNP /环氧间相互作用中的空间密度分布。第二阶段涉及使用NASA的微观力学分析代码基于通用细胞(MAC / GMC)的碳纤维增强混合复合材料的微机械分析。在复合基质中的GNP的不同体积分数下预测了杂化复合物的有效机械性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号