SiO2@MWCNTs/NR复合材料的制备及热稳定性分析
Preparation and Thermal Stability Analysis of SiO2@MWCNTs/Natural Rubber Composites
何东宁 1敖飘文 2龚伟 2陈梦清 2柯晓明 2陈显非3
作者信息
- 1. 岭南师范学院,广东 湛江 524048;清洁能源材料化学广东省普通高校重点实验室,广东 湛江 524048
- 2. 岭南师范学院,广东 湛江 524048
- 3. 成武德曼新材料有限公司,山东 菏泽 274200
- 折叠
摘要
本研究采用乳液共混法制备了二氧化硅@多壁碳纳米管/天然橡胶(SiO2@MWCNTs/NR)复合材料,使用TEM对SiO2@MWCNTs纳米复合填料进行形貌表征,通过万能拉力试验机对制备的纳米复合材料进行力学性能进行分析,并利用热重-微商热重(TG-DTG)在不同的升温速率下研究了在氮气氛围中少量纳米SiO2@MWCNTs/NR复合材料的热降解动力学,实验结果表明:接枝二氧化硅的碳纳米管呈现离散分布状态,二氧化硅也没有明显团聚.SiO2@MWCNTs/NR复合材料的断裂拉伸应力比NR提高了56.84%,断裂伸长率降低了 13.66%;通过非模型法如 Kissinger 法和 Bosewell 法求取热降解过程的活化能 E 等参数,从而对纳米SiO2@MWCNTs/NR复合材料与NR空白样品的热降解过程进行比较,得到两种样品在热降解反应过程中动力学参数的差异,进而指导样品的使用.
Abstract
SiO2@MWCNTs/NR was prepared using the emulsion blending method.The SiO2@MWCNTs was characterized using transmission electron microscopy(TEM),and the mechanical properties of SiO2@MWCNTs/NR composites were analyzed.The thermal degradation kinetics of a small amount of SiO2@MWCNTs/NR nanocomposite under a nitrogen atmosphere was studied at different heating rates using thermogravimetric analysis and differential thermogravimetry(TG-DTG).The experimental results showed that the carbon nanotubes grafted with silica showed a discrete distribution state,and silica did not significantly agglomerate.The tensile strength of SiO2@MWCNTs/NR composites was 56.84%higher than that of NR.In comparison,the elongation at break decreased by 13.66%.The activation energy E and other kinetic parameters of the thermal degradation process were obtained using non-modeling methods such as Kissinger,and Bosewell.The thermal degradation processes of SiO2@MWCNTs/NR nanocomposites and NR samples were compared.The differences in the kinetic parameters of the two samples during the thermal degradation reaction were determined,guiding the use of the samples.
关键词
天然橡胶/热降解动力学/多壁碳纳米管/二氧化硅Key words
natural rubber/thermal degradation kinetics/multi-walled carbon nanotubes/silica引用本文复制引用
基金项目
清洁能源材料化学广东省普通高等学校重点实验室开放基金(CEMC2022017)
湛江市非资助科技攻关计划(2022B01190)
岭南师范学院校级科研项目(ZL2019)
出版年
2024
NETL
NSTL
万方数据