scholarly journals Revisiting the friction of high entropy alloys and coatings

2019 ◽  
pp. 34-37
Author(s):  
Viktor Mikhailovich Yurov ◽  
Sergei Alekseevich Guchenko

In this paper, the authors propose a new approach to the consideration of the friction phenomenon in HEAs and, in particular, dry friction. An equation is obtained that shows the nonlinear dependence of the friction coefficient on Gibbs energy G0, on temperature T, on the concentration of the number of electrons N and which allows predicting the formation of high entropy alloys and coatings.

Author(s):  
HyunWook Lee ◽  
Corina Sandu ◽  
Carvel Holton ◽  
Mehdi Ahmadian

The coefficient of friction (CoF) is one of the most important parameters for the contact between the wheel and the rail. Accurate estimation or measurement of the CoF has a very important role, both in terms of modeling the train dynamics and in terms of reducing operational costs in the long-term. For ease of implementation, since the nature of the wheel-rail contact dynamics is very complex, the assumption of a constant CoF is still used in most theoretical studies. Nevertheless, experimental work indicates that the CoF depends on dynamic changes in various wheel-rail conditions, like sliding velocity, contact patch shape and size for stick and sliding region, wheel and rail geometry, wheel vibration, rail surface roughness and/or lubrication, etc. In this paper we present the proposed equation to model the nonlinear dry friction coefficient at the wheel-rail contact. The friction coefficient is calculated at the three different values for change in the damping ratio while maintaining all the other conditions the same. As expected, the analysis performed to estimate the dry friction coefficient based on the proposed equation and using NUCARS® simulation results shows that the coefficient of friction has a highly nonlinear dependence on its parameters.


Author(s):  
V. Yurov ◽  
S. Guchenko ◽  
K. Mahanov

The objects of study were high-entropy coatings of the composition FeCoCrNiMoTiW made by mechanical alloying. It is shown that the hardness of most stainless steels is 1.5-2 times less than high-entropy coatings, and the dry friction coefficients are in the range of 0.08-0.16. Such a difference in the coefficients of friction for high-entropy coatings is due to their nanostructural feature and the manifestation of the dimensional dependence of their properties. Theoretically, we consider the question of the response of the electron subsystem in high-entropy alloys to an external action during friction from the standpoint of nonequilibrium statistical thermodynamics. As a result, it was shown that the coefficient of friction of the coating decreases with the use of a high-entropy alloy and with a decrease in the surface energy of the coating.


2019 ◽  
Vol 175 ◽  
pp. 121-129 ◽  
Author(s):  
Magnus Moe Nygård ◽  
Gustav Ek ◽  
Dennis Karlsson ◽  
Magnus H. Sørby ◽  
Martin Sahlberg ◽  
...  

2019 ◽  
Author(s):  
Jack Pedersen ◽  
Thomas Batchelor ◽  
Alexander Bagger ◽  
Jan Rossmeisl

Using the high-entropy alloys (HEAs) CoCuGaNiZn and AgAuCuPdPt as starting points we provide a framework for tuning the composition of disordered multi-metallic alloys to control the selectivity and activity of the reduction of carbon dioxide (CO2) to highly reduced compounds. By combining density functional theory (DFT) with supervised machine learning we predicted the CO and hydrogen (H) adsorption energies of all surface sites on the (111) surface of the two HEAs. This allowed an optimization for the HEA compositions with increased likelihood for sites with weak hydrogen adsorption{to suppress the formation of molecular hydrogen (H2) and with strong CO adsorption to favor the reduction of CO. This led to the discovery of several disordered alloy catalyst candidates for which selectivity towards highly reduced carbon compounds is expected, as well as insights into the rational design of disordered alloy catalysts for the CO2 and CO reduction reaction.


2020 ◽  
Vol 2020 (4) ◽  
pp. 16-22
Author(s):  
A.I. Ustinov ◽  
◽  
V.S. Skorodzievskii ◽  
S.A. Demchenkov ◽  
S.S. Polishchuk ◽  
...  

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