Investigations of tribological performance of slewing bearing raceway with bionic textured composite surface under grease lubrication DOI
Kaipeng Zhang, Chaohua Wu, Xiaoliang Shi

et al.

Tribology International, Journal Year: 2023, Volume and Issue: 184, P. 108469 - 108469

Published: March 31, 2023

Language: Английский

A review on the synthesis of MXenes and their lubrication performance and mechanisms DOI Creative Commons
Xinyu Lu, Xiaoli Gu, Yijun Shi

et al.

Tribology International, Journal Year: 2022, Volume and Issue: 179, P. 108170 - 108170

Published: Dec. 16, 2022

MXenes (MXs), as an emerging 2D family of transition metal carbides and nitrides, have been considered new candidates for solid lubrication/lubricant additives due to their mono-layered graphene-like structure with similar mechanical properties, abundant surface terminations (i.e., -O, -OH, -F), relatively low shear strength inherent self-lubrication ability. In this review, we introduced MXs' synthesis lubrication performance mechanisms. Typically, pure MXs MXs-based composites like MXs/polymers, MXs/graphene (MoS2) or MXs/metals (metal oxide) were used reinforcement materials form protective coatings excellent properties performance. As liquid lubricant additives, can be water-/oil-based exhibit improved friction wear. At the same time, chemically functionalized better dispersibility compatibility oil-based additives. Some parameters (such structural effects working conditions) affecting performance, mechanisms formation tribofilm, hydrophilicity-/interlayer-dependent mechanism adsorption effect) all discussed. Finally, some future perspectives proposed at end review.

Language: Английский

Citations

46

Recent advance in two-dimensional MXenes: New horizons in flexible batteries and supercapacitors technologies DOI
Ayesha Khan Tareen, Karim Khan, Muhammad Waqas Iqbal

et al.

Energy storage materials, Journal Year: 2022, Volume and Issue: 53, P. 783 - 826

Published: Sept. 28, 2022

Language: Английский

Citations

40

Unveiling the tribological potential of MXenes-current understanding and future perspectives DOI
Muhammad Chhattal, Andreas Rosenkranz,

Sana Zaki

et al.

Advances in Colloid and Interface Science, Journal Year: 2023, Volume and Issue: 321, P. 103021 - 103021

Published: Oct. 16, 2023

Language: Английский

Citations

39

Polydopamine-modified Ti3C2Tx to enhance anticorrosion of waterborne zinc-rich epoxy coating DOI
Meng Cai,

Can He,

Wen Li

et al.

Carbon, Journal Year: 2023, Volume and Issue: 215, P. 118467 - 118467

Published: Sept. 21, 2023

Language: Английский

Citations

37

Recent advances of two-dimensional lubricating materials: from tunable tribological properties to applications DOI
Xiaole Zhang, Tianhui Ren, Zhipeng Li

et al.

Journal of Materials Chemistry A, Journal Year: 2023, Volume and Issue: 11(17), P. 9239 - 9269

Published: Jan. 1, 2023

2D nanomaterial lubricants have received increasing attention as mild and environmentally friendly friction wear moderators. They can act promising industrial antiwear agents to alleviate problems of energy loss resource waste caused by mechanical parts.

Language: Английский

Citations

36

A review of recent advances and applications of machine learning in tribology DOI
Abhishek T. Sose, Soumil Y. Joshi, Lakshmi Kumar Kunche

et al.

Physical Chemistry Chemical Physics, Journal Year: 2023, Volume and Issue: 25(6), P. 4408 - 4443

Published: Jan. 1, 2023

In tribology, a considerable number of computational and experimental approaches to understand the interfacial characteristics material surfaces in motion tribological behaviors materials have been considered date. Despite being useful providing important insights on properties system, at different length scales, vast amount data generated from these state-of-the-art techniques remains underutilized due lack analysis methods or limitations existing techniques. principle, this can be used address intractable problems including structure-property relationships systems efficient lubricant design cost time effective manner with aid machine learning. Specifically, data-driven learning shown potential unraveling complicated processes through development structure-property/functionality based collected data. For example, neural networks are incredibly modeling non-linear correlations identifying primary hidden patterns associated phenomena. Here we present several exemplary studies that demonstrated proficiency understanding critical factors. A successful implementation networks, supervised, stochastic shed light how may certain applications. Moreover, ranging lubricants, composites, studying fretting wear frictional mechanism, has embraced either independently integrated optimization algorithms by scientists study tribology. Accordingly, review aims perspective recent advances applications The referenced simulation subsequent tribology shall motivate researchers introduce revolutionary approach efficiently

Language: Английский

Citations

30

Enhancing the lubricity and wear resistance of shape-memory-polymer via titanium carbide-based MAX and MXene DOI
Shubham Jaiswal, Jeet Vishwakarma, Shubham Bhatt

et al.

Carbon, Journal Year: 2024, Volume and Issue: 219, P. 118790 - 118790

Published: Jan. 3, 2024

Language: Английский

Citations

17

Lubricating MXenzyme-based hybrid hydrogel reverses oxidative damage to alleviate osteoarthritis DOI
Zhao Zhang,

Debin Cheng,

Jingxin Pan

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 482, P. 148815 - 148815

Published: Jan. 19, 2024

Language: Английский

Citations

12

Vacuum tribology of multi-layer Ti3C2T and Ti3C2T /MoS2 hybrid coatings DOI
Guido Boidi, Darío Zambrano,

Christian Jogl

et al.

Applied Materials Today, Journal Year: 2024, Volume and Issue: 38, P. 102180 - 102180

Published: April 4, 2024

Language: Английский

Citations

12

Two-Dimensional MXene as a Promising Adsorbent for Trihalomethanes Removal: A Density-Functional Theory Study DOI Creative Commons
Islam Gomaa, Nasser Mohammed Hosny, Hanan Elhaes

et al.

Nanomaterials, Journal Year: 2024, Volume and Issue: 14(5), P. 454 - 454

Published: Feb. 29, 2024

This groundbreaking research delves into the intricate molecular interactions between MXene and trihalomethanes (THs) through a comprehensive theoretical study employing density-functional theory (DFT). Trihalomethanes are common carcinogenic chlorination byproducts found in water sanitation systems. focuses on pristine [Mn+1·Xn] monolayer its various terminal [Tx] functional groups [Mn+1·XnTx], strategically placed surface for enhanced performance. Our investigation involves detailed analysis of adsorption energies THs different types, with MXene-Cl layer emerging as most compatible variant. specific exhibits remarkable properties, including total dipole moment (TDM) 12.443 Debye bandgap 0.570 eV, achieved meticulous geometry optimization computational techniques. Notably, such trichloromethane (CHCl3), bromide-chloromethane (CHBrCl2), dibromochloromethane (CHBr2Cl) demonstrate highest TDM values, indicating substantial changes electronic optical parameters, values 16.363, 15.998, 16.017 Debye, respectively. These findings highlight potential an effective adsorbent detector CHF3, CHClF2, CHCl3, CHBrCl2, CHBr2Cl. Additionally, we observe proportional increase energy, indicative conductivity, termination atom combinations, Mxene-O-OH, Mxene-O-F, Mxene-O-Cl, Mxene-OH-F, Mxene-F-Cl, Mxene-OH-Cl, measured at 0.734, 0.940, 1.120, 0.835, 0.927 Utilizing DFT, elucidate surfaces. results conclusively significant influence nature quantity MXene’s primitive value. contributes to our understanding MXene–THs interactions, offering promising avenues development efficient adsorbents detectors THs. Ultimately, these advancements hold revolutionize practices enhance environmental safety.

Language: Английский

Citations

10