Computing of the Molecular Orientation State of the Lubrication Layer

Godlevskiy, V. A.; Blinov, O.V.

doi:10.1016/j.proeng.2016.07.046

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…Tsvetkov [14], has been used which helps to estimate the degree of molecular system's supramolecular orderliness, in this case -lubrication layer. Values of this factor with perfect uniaxial orientation is accepted as one whereas full disordering assigns it a zero value [15]. In our software the calculation procedure for finding the orientation factor can be divided into 3 steps: 1.…”

Section: Assumptions and Restrictions On Construction And Work Of Thementioning

confidence: 99%

Correlation between Structural and Tribological Characteristics of Some Mesomorphic Boundary Lubrication Layers

Blinov¹,

Godlevskiy²,

Moiseev³

et al. 2019

Liq. Cryst. and their Appl.

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The article is devoted to the epitropic orderliness of mesogenic lubrication material in boundary layer. The modelling of tribo-system with boundary lubrication layer by means of management of the software realizing methods of the molecular mechanics, quantum chemistry and molecular dynamics has been carried out. During modelling the virtual lubrication layer of the designated thickness with randomized initial molecules arrangement was built. Further procedure included the minimization of molecular system energy by corresponding optimization of molecules orientation in the lubrication layer. Modelling solid surfaces of friction took place at a certain distance in parallel to each other. The lubricant was placed between these surfaces. The value of lubricant's molecular cluster orientation factor was counted in the process of iteration of periodic virtual shear of the top surface relative to bottom and consequent optimization process taking into account an arrangement of molecules concerning surfaces. Tests of some lubrication substances which molecules possessed anisometric form and, hence, propensity to supramolecular self-organizing in the lubricant layer have been conducted. For comparison of experimental results, the correlation dependence between modeling and experiment was built. It confirms the reliability of molecular modeling data for prediction of antifrictional properties of mesogenic lubricating materials.

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Section: Assumptions and Restrictions On Construction And Work Of Thementioning

confidence: 99%

Correlation between Structural and Tribological Characteristics of Some Mesomorphic Boundary Lubrication Layers

Blinov¹,

Godlevskiy²,

Moiseev³

et al. 2019

Liq. Cryst. and their Appl.

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show abstract

“…The abovementioned model capabilities require the incorporation of other model frameworks and advanced approaches, e.g. asperity contact model to address the roughness effect in lubricated contact [8], finite element method to solve the lubricated contact problem involving complex domain of surface contacts [9,13], and molecular dynamics simulation to investigate tribological phenomena in multiscale modelling [14,15]. Other than Reynolds Equation and its variants, other lubrication models in the literature revolve around regression analysis based on statistical approaches [16][17][18][19], empirical model driven by experimental observations [20,21], and models derived from first principles [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

A Friction–Wear Correlation for Four-Ball Extreme Pressure Lubrication

Chen

Lim

Yeong

et al. 2019

Journal of Tribology

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A first-ever friction–wear model for four-ball extreme pressure (EP) lubrication is developed in this work based on 12 oil samples comprising minerals, esters, and other formulated lubricants. The model considers the rate of entropy generation and dissipation within the lubricated tribosystem to describe the interaction between the friction and the wear behaviors at extreme pressure conditions. The model can be used to calculate the probability to pass or fail at a specific load to estimate the weld point of a lubricant. The calculated probability exhibited a similar trend as a load-wear index from the ASTM D2783 EP test method. Besides, the model is able to estimate the EP performance of an unknown lubricant based on the model parameter, namely the dissipative coefficient. This parameter describes the proportionality between the friction and the wear phenomena from the perspective of thermodynamic analysis. This work provides useful tools to better understand the fundamentals of EP lubrication and to characterize the lubricants without overly relying on tribotest machines.

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