复合材料
摩擦学
硅烷
环氧树脂
极限抗拉强度
涂层
玻璃化转变
抗弯强度
扫描电子显微镜
动态力学分析
傅里叶变换红外光谱
弯曲模量
色散(光学)
表面改性
杨氏模量
材料科学
聚合物
模数
艾氏冲击强度试验
热稳定性
X射线光电子能谱
润滑
作者
Dinghao Sun,Rong Du,Jin Zhang,Heng Zhang,Yi Li,Hang Xiao,Haibo Wang,Qingzhu Sun,Zhiyuan Ma
出处
期刊:Langmuir
[American Chemical Society]
日期:2025-09-12
卷期号:41 (37): 25506-25523
被引量:2
标识
DOI:10.1021/acs.langmuir.5c03326
摘要
Improving the dispersion and compatibility of fillers in epoxy resin (EP) is crucial for enhancing the thermal stability, mechanical properties, and tribological performance of coatings. This study presents a novel biomimetic modification strategy. MoS 2 –TiN hybrid fillers are uniformly dispersed in the EP matrix and strongly bonded through comodification with polydopamine (PDA) and γ-aminopropyltriethoxysilane (KH550). The successful synthesis of MoS 2 –TiN@(PDA+KH550) fillers is confirmed by using Fourier transform infrared spectroscopy, X-ray diffraction, and X-ray photoelectron spectroscopy. Scanning electron microscopy, transmission electron microscopy, and dispersion tests show that the aggregation of MoS 2 and TiN is alleviated. Compared to pure EP, the PDA@MoS 2 –KH550@TiN (2:1)/EP (PMT2@EP) coating shows significant improvements in several aspects. In terms of thermal stability, the residual carbon rate at 800 °C increased from 9.38 to 11.98%. For mechanical properties, the storage modulus increased by 7.2%, the glass transition temperature ( T g ) increased by 24.6%, the tensile strength increased by 42.1%, the tensile modulus increased by 60.9%, the hardness increased by 58.3%, and the flexural strength increased by 59.1%. Additionally, the coating exhibits enhanced tribological performance, with a reduction in the friction coefficient of 81.8% (from 0.555 to 0.101) and a decrease in the wear rate of 77.8% (from 11.64 × 10 –5 mm 3 /(N m) to 2.58 × 10 –5 mm 3 /(N m)). This biomimetic interface design provides important experimental and technical support for developing high-performance, wear-resistant, low-friction EP coatings.
科研通智能强力驱动
Strongly Powered by AbleSci AI