Experimental and molecular dynamics simulation based investigation to understand tribological performance of graphene reinforced thermoplastic polyurethane (Gr/TPU) nanocomposites

热塑性聚氨酯 摩擦学 材料科学 纳米复合材料 聚氨酯 石墨烯 分子动力学 复合材料 纳米技术 弹性体 化学 计算化学
作者
Animesh Talapatra,Debasis Datta
出处
期刊:Tribology International [Elsevier]
卷期号:196: 109703-109703 被引量:2
标识
DOI:10.1016/j.triboint.2024.109703
摘要

Ongoing innovative research in tribology aims to develop high-performance polymer nanocomposite (PNC) materials that offer significant improvements in efficiency, reliability, and durability across various engineering systems. Selection of appropriate nanoreinforcements is crucial for maximizing the tribological behavior in PNCs. The primary objective is to investigate how various factors, such as graphene (Gr) loadings, processing techniques, normal loading, and sliding velocity influence the tribological behavior of thermoplastic polyurethane (TPU) and graphene reinforced thermoplastic polyurethane (Gr/TPU) nanocomposites using molecular dynamics (MD) simulation and experiments. Nanocomposite materials fabricated by ultrasonication methods, test specimens are prepared in appropriate dimensions as per ASTM (American Society for Testing and Materials) and DIN (Deutsches Institut für Normung) standard. MD simulations are conducted on the developed plate and rod models under different sliding velocity, pressing and stabbing depth conditions to understand fundamental insights into the friction and wear mechanisms of Gr/TPU nanocomposites at the atomic level. Morphological studies using scanning electron microscopy (SEM) micrographs indicate no case of Gr agglomeration up to 3 wt% Gr/TPU nanocomposite. Energy dispersive spectroscopy (EDS) analysis confirms presence of Carbon (c), Nitrogen (N) and Oxygen (O) in Gr/TPU nanocomposites. Finally the obtained results from MD simulation and experiments show a significant trend of similarity. • Abrasion testing where maximum relative volume loss is found as 46.85 mm 3 in for 3 wt% Gr/TPU nanocomposite. • Minimum coefficients of static and dynamic friction values are found as 0.44 and 0.36 in coefficient of friction test. Further addition of Gr in TPU matrix cause increase in both COF and abrasion rate (AR). • From MD simulation based tribological study, it is observed that increase in sliding velocity, and both the values of COF and W R are decreased in wear models up to 3 wt% of Gr addition. But increase in sliding velocity, both the values of COF and W R are increased in friction models up to certain amount of Gr addition. • SEM micrographs show that there is no case of Gr agglomeration up to 3 wt% Gr in the Gr/TPU nanocomposite. Presence of more than 3 wt% Gr in TPU matrix, cause cracks, distortions and agglomerations which one observed in SEM micrographs. Energy dispersive spectroscopy (EDS) analysis confirms that Carbon (C), Nitrogen (N) and Oxygen (O) are present in Gr/TPU nanocomposites.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
2秒前
学习第一名完成签到,获得积分10
4秒前
啦啦啦完成签到,获得积分10
4秒前
5秒前
王治豪发布了新的文献求助10
6秒前
跳跃野狼发布了新的文献求助10
6秒前
7秒前
Soap发布了新的文献求助10
7秒前
10秒前
11秒前
歌未央完成签到,获得积分10
12秒前
heheda发布了新的文献求助10
12秒前
李健的粉丝团团长应助faye采纳,获得10
15秒前
种草完成签到 ,获得积分10
17秒前
20秒前
22秒前
科目三应助大力沛萍采纳,获得10
22秒前
22秒前
狞猰应助幸福大白采纳,获得10
22秒前
orixero应助幸福大白采纳,获得10
23秒前
小马甲应助幸福大白采纳,获得10
23秒前
23秒前
英俊的铭应助潼潼采纳,获得30
26秒前
斯文败类应助对流域采纳,获得10
26秒前
科目三应助跳跃野狼采纳,获得10
26秒前
科研混子发布了新的文献求助10
27秒前
pluto应助研友_gnvY5L采纳,获得10
31秒前
大模型应助科研混子采纳,获得10
31秒前
33秒前
35秒前
talpionchen发布了新的文献求助10
35秒前
研友_nVNVVn发布了新的文献求助10
38秒前
38秒前
38秒前
39秒前
对流域发布了新的文献求助10
40秒前
坚定的雪枫给ider的求助进行了留言
40秒前
乐乐应助英勇的电话采纳,获得10
41秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3136744
求助须知:如何正确求助?哪些是违规求助? 2787759
关于积分的说明 7783069
捐赠科研通 2443822
什么是DOI,文献DOI怎么找? 1299439
科研通“疑难数据库(出版商)”最低求助积分说明 625457
版权声明 600954