Molecular dynamics simulation of mechanism of nanoparticle in improving load-carrying capacity of lubricant film

Hu, Chengzhi; Bai, Ming; Lv, Jizu; Li, Xiaojie

doi:10.1016/j.commatsci.2015.07.028

Cited by 24 publications

(13 citation statements)

References 42 publications

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“…NEMD simulations have been performed on atomically-smooth surfaces to study their effect on friction [273] and flow [256] under hydrodynamic lubrication conditions. Compressive LVMD simulations have also been used to study the load carrying capacity of copper nanoparticles in an n-octane lubricant [274].…”

Section: Nanoparticles As Lubricant Additivesmentioning

confidence: 99%

Advances in nonequilibrium molecular dynamics simulations of lubricants and additives

2018

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Nonequilibrium molecular dynamics (NEMD) simulations have provided unique insights into the nanoscale behaviour of lubricants under shear. This review discusses the early history of NEMD and its progression from a tool to corroborate theories of the liquid state, to an instrument that can directly evaluate important fluid properties, towards a potential design tool in tribology. The key methodological advances which have allowed this evolution are also highlighted. This is followed by a summary of bulk and confined NEMD simulations of liquid lubricants and lubricant additives, as they have progressed from simple atomic fluids to ever more complex, realistic molecules. The future outlook of NEMD in tribology, including the inclusion of chemical reactivity for additives, and coupling to continuum methods for large systems, is also briefly discussed.

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Section: Nanoparticles As Lubricant Additivesmentioning

confidence: 99%

Advances in nonequilibrium molecular dynamics simulations of lubricants and additives

2018

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“…Of course, there are many other factors which influence Brownian motion including the geometry of nano-particles, ballistic collisions and further experimental studies are required to exactly establish how these characteristics are modified in squeeze films [35]. Indeed molecular dynamics simulation may also provide an insight into these complex mechanisms in lubrication applications [36]. whether suction or injection is present.…”

Section: B-spline Numerical Simulation Results and Discussionmentioning

confidence: 99%

B-Spline Collocation Simulation of Non-Linear Transient Magnetic Nanobio-Tribological Squeeze-Film Flow

Bég

Sohail²,

Kadir

et al. 2018

J. Mech. Med. Biol.

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A mathematical model is presented for magnetized nanofluid bio-tribological squeeze-film flow between two approaching disks. The nanofluid comprises a suspension of metal oxide nanoparticles with an electrically-conducting base fluid, making the nanosuspension responsive to applied magnetic field. The governing viscous momentum, heat and species (nanoparticle) conservation equations are normalized with appropriate transformations which renders the original coupled, non-linear partial differential equation system into a more amenable ordinary differential boundary value problem. The emerging model is shown to be controlled by a number of parameters, viz nanoparticle volume fraction, squeeze number, Hartmann magnetic body force number, disk surface transpiration parameter, Brownian motion parameter, thermophoretic parameter, Prandtl number and Lewis number. Computations are conducted with a B-spline collocation numerical method. Validation with previous homotopy solutions is included. The numerical spline algorithm is shown to achieve excellent convergence and stability in non-linear bio-tribological boundary value problems. The interaction of heat and mass transfer with nanofluid velocity characteristics is explored. In particular, smaller nanoparticle (high Brownian motion parameter) suspensions are studied. The study is relevant to enhanced lubrication performance in novel bio-sensors and intelligent knee joint (orthopaedic) systems.

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“…The nanofluid stability is influenced by the type of surface modification, pH value, and the sort of nanoparticles [37]. On the other hand, there are many disagreements between the experimental data and theoretical predictions, regarding the tribological and rheological characteristics [37,47,48,189]. Further, there is a need for more real engine bench and road tests that have to cover the actual working conditions of these nanolubricants [56,70].…”

Section: Future Directions and Challengesmentioning

confidence: 99%

Recent Advances in Preparation and Testing Methods of Engine-Based Nanolubricants: A State-of-the-Art Review

et al. 2021

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Reducing power losses in engines is considered a key parameter of their efficiency improvement. Nanotechnology, as an interface technology, is considered one of the most promising strategies for this purpose. As a consumable liquid, researchers have studied nanolubricants through the last decade as potential engine oil. Nanolubricants were shown to cause a considerable reduction in the engine frictional and thermal losses, and fuel consumption as well. Despite that, numerous drawbacks regarding the quality of the processed nanolubricants were discerned. This includes the dispersion stability of these fluids and the lack of actual engine experiments. It has been shown that the selection criteria of nanoparticles to be used as lubricant additives for internal combustion engines is considered a complex process. Many factors have to be considered to investigate and follow up with their characteristics. The selection methodology includes tribological and rheological behaviours, thermal stability, dispersion stability, as well as engine performance. Through the last decade, studies on nanolubricants related to internal combustion engines focused only on one to three of these factors, with little concern towards the other factors that would have a considerable effect on their final behaviour. In this review study, recent works concerning nanolubricants are discussed and summarized. A complete image of the designing parameters for this approach is presented, to afford an effective product as engine lubricant.

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Molecular dynamics simulation of mechanism of nanoparticle in improving load-carrying capacity of lubricant film

Cited by 24 publications

References 42 publications

Advances in nonequilibrium molecular dynamics simulations of lubricants and additives

Advances in nonequilibrium molecular dynamics simulations of lubricants and additives

B-Spline Collocation Simulation of Non-Linear Transient Magnetic Nanobio-Tribological Squeeze-Film Flow

Recent Advances in Preparation and Testing Methods of Engine-Based Nanolubricants: A State-of-the-Art Review

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