The influence of ordered carbon structures on the mechanism of tribocatalysis

Bukrajewski, P.; Deliś, Maciej; Desaniuk, Tomasz; Dzięgielewski, Wojciech; Kałużny, Jarosław; Kulczycki, Andrzej; Ozimina, Dariusz

doi:10.1016/j.triboint.2020.106518

Cited by 7 publications

(10 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fig. 4 The general concept of the mechanism of action of organized carbon structures as catalysts/inhibitors of chemical reactions [14].…”

Section: Fullerenesmentioning

confidence: 99%

“…HFRR PAO 1) 0.1633 339 PAO + ZDDP 1) 0.131 210 PAO + CNT 1) 0.1501 328 PAO + Graphene 1) --PAO + Fullerene 1) 0.165 335 PAO + ZDDP + CNT 1) 0.1238 198 PAO + ZDDP + Graphene 1) --PAO + ZDDP +Fullerene 1) 0.135 250 TRB; 100Cr6 PAO 2),3) 0.1296 187 PAO + ZDDP 2), 3) 0.1240 14 PAO + CNT 2) 0.1284 7 PAO + Graphene 3) 0.1375 649 PAO + Fullerene -PAO + ZDDP + CNT 2) 0.1253 268 PAO + ZDDP + Graphene 3) 0.1260 59 PAO + ZDDP +Fullerene --TET PAO 1) 1.062 PAO + ZDDP 1) 8.360 PAO + CNT 1) 3.497 PAO + Graphene -PAO + Fullerene 1) 1.283 PAO + ZDDP + CNT 1) 15.330 PAO + ZDDP + Graphene -PAO + ZDDP +Fullerene 1) 6.446 1) Data source: [14] 2) Data source: [30] 3) Data source: [29] The tribological results clearly indicate some catalytic interaction between the lubricity additive and the ordered carbon structures. This was particularly visible in the triboelectric tests, where the presence of CNTs significantly increased the value of 25-30 relative to the value obtained for ZDDP.…”

Section: Tribological Test Lubricant Coefficient Of Friction µ Wear [...mentioning

confidence: 99%

See 1 more Smart Citation

The mechanism of action of carbon nanostructures in tribochemical reactions

Ozimina

Kulczycki

Janas

et al. 2022

Preprint

View full text Add to dashboard Cite

The aim of this article is to experimentally verify the modified Arrhenius equation for catalytic reactions. The theoretical mathematical reactivity model proposed in the authors’ previous articles assumes that: a) the catalytic reaction rate constant depends not only on the temperature at which the reaction occurs but also on the additional energy supplied to the reactants as a result of the flow of electrons emitted by the catalyst, b) the catalytic reaction rate constant changes in a periodic manner. The research focused on two areas of catalyst applications: controlling tribological processes and converting methanol to hydrogen under visible light irradiation. The article proposes a new interpretation of the earlier findings in tribology and photocatalytic decomposition of methanol. The experimental data show that graphene and nanotubes (CNTs) act as catalysts in tribochemical reactions and that catalytic reactions are initiated by light energy. The key feature of the mechanism by which the nanostructures behave is that they absorb various forms of energy from the surroundings, which are to be stored, transported, or released as pulses back to the surroundings when a catalyzed reaction takes place.

show abstract

“…Fig. 4 The general concept of the mechanism of action of organized carbon structures as catalysts/inhibitors of chemical reactions [14].…”

Section: Fullerenesmentioning

confidence: 99%

Section: Tribological Test Lubricant Coefficient Of Friction µ Wear [...mentioning

confidence: 99%

The mechanism of action of carbon nanostructures in tribochemical reactions

Ozimina

Kulczycki

Janas

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…In our macroscale experiments, we showed that CNTs combined with liquids can considerably decrease friction [ 25 , 26 , 27 , 28 , 29 ]. This takes place either by lubricating the nanofluid films or forming interface molecular layers, both of which yield superlubricity.…”

Section: Introductionmentioning

confidence: 99%

“…Our experimental results indicate the general complexity of the tribological processes induced by the presence of CNTs in lubricants. We believe that, despite purely mechanical actions such as surface coverage (graphene), CNTs may also produce the following effects: (i) transfer of energy revealed in single-asperity contacts, in particular tribo-electrons and heat; (ii) tribochemical impact, for example interactions with common oil additives such as anti-wear additives, which lead to the activation of zinc dithiophosphate (ZDDP) [ 28 , 29 ]; (iii) preventing lubricant molecules from being arranged in symmetrical superstructures, thus reducing stick–slip vibrations according to the theory of shear-induced vibrations [ 27 ]; and (iv) in situ modifications of CNMs in the friction process, for example CNTs due to mechanical stress—and hence, graphene production. It is worth noting all of the abovementioned effects, and we strongly believe that there are other specific carbon-based nanolubricant effects not yet found, which can occur simultaneously, even if only trace amounts of CNMs have been introduced into the lubricant [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Approach for Application-Tailored Nanolubricants’ Design

et al. 2022

View full text Add to dashboard Cite

The fascinating tribological phenomenon of carbon nanotubes (CNTs) observed at the nanoscale was confirmed in our numerous macroscale experiments. We designed and employed CNT-containing nanolubricants strictly for polymer lubrication. In this paper, we present the experiment characterising how the CNT structure determines its lubricity on various types of polymers. There is a complex correlation between the microscopic and spectral properties of CNTs and the tribological parameters of the resulting lubricants. This confirms indirectly that the nature of the tribological mechanisms driven by the variety of CNT–polymer interactions might be far more complex than ever described before. We propose plasmonic interactions as an extension for existing models describing the tribological roles of nanomaterials. In the absence of quantitative microscopic calculations of tribological parameters, phenomenological strategies must be employed. One of the most powerful emerging numerical methods is machine learning (ML). Here, we propose to use this technique, in combination with molecular and supramolecular recognition, to understand the morphology and macro-assembly processing strategies for the targeted design of superlubricants.

show abstract

“…The presence of ZDDP contributes to the formation of protective lubricating films [4]. In the case of ZDDP, however, the lubrication mechanism is quite complicated because there are three [6,7] interactions with the active elements [6][7][8], i.e., zinc, phosphorus and sulfur. Water and oxygen are also active, but their presence increases the complexity of the lubrication mechanism.…”

Section: Introductionmentioning

confidence: 99%

Tribochemical Interactions between Graphene and ZDDP in Friction Tests for Uncoated and W-DLC-Coated HS6-5-2C Steel

et al. 2021

View full text Add to dashboard Cite

If a lubricant contains structures capable of conducting energy, reactions involving zinc dialkyldithiophosphate (ZDDP) may take place both very close to and away from the solid surfaces, with this indicating that ZDDP can be a highly effective anti-wear (AW) additive. The central thesis of this article is that the tribocatalytic effect is observed only when the energy emitted by the solids is transmitted by ordered molecular structures present in the lubricant, e.g., graphene. The friction tests were carried out for 100Cr6 steel balls in a sliding contact with uncoated or W-DLC-coated HS6-5-2C steel discs in the presence of polyalphaolefin 8 (PAO 8) as the lubricant, which was enhanced with graphene and/or ZDDP. There is sufficient evidence of the interactions occurring between ZDDP and graphene and their effects on the tribological performance of the system. It was also found that the higher the concentration of zinc in the wear area, the lower the wear. This was probably due to the energy transfer resulting from the catalytic decomposition of ZDDP molecules. Graphene, playing the role of the catalyst, contributed to that energy transfer.

show abstract

The influence of ordered carbon structures on the mechanism of tribocatalysis

Cited by 7 publications

References 19 publications

The mechanism of action of carbon nanostructures in tribochemical reactions

The mechanism of action of carbon nanostructures in tribochemical reactions

Machine Learning Approach for Application-Tailored Nanolubricants’ Design

Tribochemical Interactions between Graphene and ZDDP in Friction Tests for Uncoated and W-DLC-Coated HS6-5-2C Steel

Contact Info

Product

Resources

About