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石墨烯/氧化石墨烯-环氧树脂复合材料物理和力学性能改善的分子机制

Molecular Mechanism of Physical and Mechanical Improvement in Graphene/Graphene Oxide-Epoxy Composite Materials.

作者信息

Budak Deniz, Sarikurt Sevil, Gur Tugce, Ozkanakti Harun, Alagoz Huseyin, Eryol Feyza, Yildirim Erol

机构信息

Department of Polymer Science and Technology, Middle East Technical University, 06800, Ankara, Turkey.

Network Technologies Department, TUBITAK ULAKBIM, 06800, Ankara, Turkey.

出版信息

Chemphyschem. 2024 Dec 16;25(24):e202400497. doi: 10.1002/cphc.202400497. Epub 2024 Nov 5.

DOI:10.1002/cphc.202400497
PMID:39248051
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11648837/
Abstract

The performance provided by graphene (Gr) and graphene oxide (GO) additives can be improved by achieving strong adhesion and uniform dispersion in the epoxy resin matrix. In this study, molecular modeling and simulation of DGEBA/DETA based epoxy nanocomposites containing Gr and GO additives were performed. Density functional theory and molecular dynamics simulations were used to investigate interfacial interaction energies and Young's Modulus. Improvement in the interaction energies was studied by controlling the epoxy:hardener ratio, type and the number of oxygen-containing functional groups on the GO, the mass percentage of Gr/GO filler in the epoxy matrix, size and dispersion of GO in the cell. It was demonstrated that functional groups with up to 10 % oxygen content in GO significantly increase interfacial interaction energy for large size Gr/GO. Increasing DETA type amine ratio in the preparation of epoxy polymers increases the interaction energy for high oxygen content while decreasing the interaction energy for low oxygen content in GO for small size GO with edge functional groups. The performance of material dramatically decreased even at high DETA hardener and high GO mass percentages when the aggregation factor of Gr/GO was included in simulations that explain lower Gr/GO percentages in the experimental studies.

摘要

通过在环氧树脂基体中实现强附着力和均匀分散,可以提高石墨烯(Gr)和氧化石墨烯(GO)添加剂的性能。在本研究中,对含有Gr和GO添加剂的基于DGEBA/DETA的环氧纳米复合材料进行了分子建模和模拟。使用密度泛函理论和分子动力学模拟来研究界面相互作用能和杨氏模量。通过控制环氧树脂与固化剂的比例、GO上含氧官能团的类型和数量、环氧基体中Gr/GO填料的质量百分比、GO在单元中的尺寸和分散情况,研究了相互作用能的改善。结果表明,对于大尺寸的Gr/GO,GO中氧含量高达10%的官能团显著增加了界面相互作用能。在制备环氧聚合物时增加DETA型胺的比例,对于高氧含量会增加相互作用能,而对于带有边缘官能团的小尺寸GO,低氧含量时会降低相互作用能。当在模拟中考虑Gr/GO的聚集因子时,即使在高DETA固化剂和高GO质量百分比的情况下,材料性能也会显著下降,这解释了实验研究中较低的Gr/GO百分比。

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Lerf-Klinowski-type models of graphene oxide and reduced graphene oxide are robust in analyzing non-covalent functionalization with porphyrins.勒夫-克林斯基型氧化石墨烯和还原氧化石墨烯模型在分析卟啉的非共价功能化方面非常稳健。
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Recent Progress in Graphene/Polymer Nanocomposites.
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