润滑性
材料科学
摩擦学
复合材料
碳化钛
干润滑剂
拉曼光谱
磨料
形状记忆合金
碳化物
物理
光学
作者
Shubham Jaiswal,Jeet Vishwakarma,Shubham Bhatt,Reuben J. Yeo,Rahul Mishra,Chetna Dhand,Neeraj Dwivedi
出处
期刊:Carbon
[Elsevier]
日期:2024-01-03
卷期号:219: 118790-118790
被引量:6
标识
DOI:10.1016/j.carbon.2024.118790
摘要
Sliding surfaces not only consume an exceptional amount of energy to overcome friction but also cause premature failure of mechanical systems due to wear, leading them to be frequently replaced. Friction and wear are, therefore, major concerns from the viewpoints of energy consumption, cost, and the environment. Here we report for the first time the development of tribologically resilient and self-healing smart composites comprising shape-memory polyurethane (SMPU) as the model polymer matrix and titanium carbide-based MAX and MXene materials as fillers. The ball-on-disk tribological tests and 3D optical surface profilometry tests are performed to examine the coefficient of friction and wear. The introduction of layered MAX and MXene phase materials exceptionally reduces the friction of SMPU by 2–3 times and reduces its wear rate by 2–3 orders of magnitude, even at low filler concentrations of 0.25 wt%. In-depth wear track analysis, using Raman spectroscopy and EDAX elemental mapping, reveals the presence of MAX and MXene at the wear track, in addition to tribochemically formed TiO2, which contributes to the SMPU's lubricity and wear resistance. Furthermore, the developed materials reveal damage healing capability, which is not hindered by the reinforcement of MAX and MXene as well. The results suggest that by using these composites, not only the friction and wear but also the frequent replacement of sliding components can be minimized, which is crucial for cost-saving and environmentally sustainable technologies.
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