热分解
硅烷
纳米复合材料
材料科学
表面改性
氧化物
石墨烯
硝化棉
燃烧
催化作用
活化能
化学工程
分解
高分子化学
化学
物理化学
有机化学
纳米技术
复合材料
冶金
工程类
生物化学
膜
作者
Tingting Lu,Baodong Zhao,Yajing Liu,Zhengfeng Yan,Yinglei Wang,Xiaolong Fu,Qi‐Long Yan
出处
期刊:Dalton Transactions
[The Royal Society of Chemistry]
日期:2021-01-01
卷期号:50 (47): 17766-17773
被引量:7
摘要
The surface functionalization of graphene oxide (GO) is always attractive in improving certain properties of the polymer. In this study, 3-aminopropyltriethoxysilane (APTES) and 3-mercaptopropyl-trimethoxysilane (SPTES) have been used to make silane functionalized graphene oxides (SiGOs). The APTES-grafted GO (NH-SiGO), SPTES-grafted GO (SH-SiGO) and pure GO have been separately introduced into the nitrocellulose (NC) matrix. The morphology, thermal properties and energetic properties of the prepared nanocomposites (NH-SiGO and SH-SiGO) were investigated comprehensively. It is shown that the presence of GO and SiGOs have different influences on the thermal reactivity of NC with various contents, and NH-SiGO with 0.5 wt% content showed better catalytic performance on the thermal decomposition of NC than others and showed prominently higher efficiency in improving its heat of combustion. Adding 0.5 wt% of NH-SiGO to NC may decrease its decomposition temperature from 202.1 °C to 196.6 °C, and the residue was decreased from 10.61 wt% to 3.95 wt%, respectively. One isoconversional kinetic method was exploited to determine the kinetic parameters of NC and its nanocomposites. It was found that NH-SiGO had a strong catalytic action on the thermal decomposition of NC-based nanocomposites for which the activation energy and the pre-exponential factor were considerably lowered, while SH-SiGO exhibited an inverse effect. The heat of combustion from NC/GO/0.5, NC/NH-SiGO/0.5 and NC/SH-SiGO/0.5 were determined as 11 249.5, 11 675.1 and 11 491.5 J g-1, respectively, which are higher than that of the pure NC (10 908.4 J g-1). From the combustion process of NC/NH-SiGO/0.5, it was shown that the nanocomposite was combusted completely.
科研通智能强力驱动
Strongly Powered by AbleSci AI