Tribological Performance of Lubricating Oil Contaminated with Fine Dust Particles

Mohan, Nishant; Sharma, Meera; Singh, Ramesh; Kumar, Naveen

doi:10.4271/2014-01-2334

Cited by 4 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As per the literature, the performance of a lubricant gets improved when using third body particles with fine dust-like morphology [10]. In recent years, nanoparticles are used as additives in lubricants and are considered as a viable solution to further reduce the 'wear and tear' of objects due to friction.…”

Section: Introductionmentioning

confidence: 99%

Taguchi optimization of process parameters used for improving tribological behaviour of graphene nanoparticle dispersed nanolubricant

Raghavulu¹,

Rasu²

2022

Eng. Res. Express

View full text Add to dashboard Cite

The present study attempts to analyze the influence of specific process parameters that influence the tribological behavior of polyolester (POE) oils with Graphene nanoparticle-based additive. Graphene nanoparticle blends as additives for lubricant oil gained immense attention in recent years. Graphene is a two-dimensional material that possesses unique wear and friction characteristics; it can also serve as a colloidal or solid lubricant. To analyze the impact of factors, such as concentration of Graphene nanoparticles in POE oil, Sliding Velocity, and the Applied Load, on the tribological characteristics of the lubricant, the Taguchi robust design method is used. Best combination of the considered factors and the most important factor that affects the tribological behavior of the lubricants are brought out. In addition, the friction and wear properties of the lubricants are evaluated using a pin on disc type tribo test rig. Analysis of variance (ANOVA) is performed to analyze the significance of the considered control factors. The best combination of control factors will provide a minimum Coefficient of friction (COF). Thereby, in this study to improving the performance of the nano lubricant mixture, the optimum control factors are Graphene Nanoparticles- 0.05%, Sliding Velocity- 3.6 m/s, and Applied Load – 50 N.

show abstract

Section: Introductionmentioning

confidence: 99%

Taguchi optimization of process parameters used for improving tribological behaviour of graphene nanoparticle dispersed nanolubricant

Raghavulu¹,

Rasu²

2022

Eng. Res. Express

View full text Add to dashboard Cite

show abstract

“…Effective lubrication at the tribo-interface is influenced by many parameters such as load, speed, properties of the lubricant, surface topography of the mating solids, dimple depth, dimple area density, dimple shape elements in lubricant, etc [8,9]. The tribological properties of nanoparticles, dust particles and fiber at the interface of mating surfaces were studied by [10][11][12][13] who found that the coefficient of friction and wear at the tribopair is effected by the third body.…”

Section: Introductionmentioning

confidence: 99%

Tribological performance analysis of textured steel surfaces under lubricating conditions

Singh

Pandey

Rooplal

et al. 2016

Surf. Topogr.: Metrol. Prop.

View full text Add to dashboard Cite

The tribological analysis of the lubricated conformal contacts formed between the smooth/textured surfaces of steel discs and smooth surface of steel pins under sliding conditions have been considered. Roles of dimples' pitch of textured surfaces have been investigated experimentally to understand the variations of coefficient of friction and wear at the tribo-contacts under fully flooded lubricated conditions. Substantial reductions in coefficient of friction and wear at the tribo-interfaces have been observed in presence of textures on the rotating discs for both fully flooded and starved conditions in comparison to the corresponding lubricating conditions of the interfaces formed between the smooth surfaces of disc and pin. In presence of surface texture, the coefficient of friction reduces considerable at elevated sliding speeds (>2 m/s) and unit loads (>0.5 MPa) for the set of operating parameters considered in the analysis.

show abstract

Enhancing the thermophysical properties and tribological behaviour of engine oils using nano-lubricant additives

et al. 2016

View full text Add to dashboard Cite

show abstract

Tribological Performance of Lubricating Oil Contaminated with Fine Dust Particles

Cited by 4 publications

References 26 publications

Taguchi optimization of process parameters used for improving tribological behaviour of graphene nanoparticle dispersed nanolubricant

Taguchi optimization of process parameters used for improving tribological behaviour of graphene nanoparticle dispersed nanolubricant

Tribological performance analysis of textured steel surfaces under lubricating conditions

Enhancing the thermophysical properties and tribological behaviour of engine oils using nano-lubricant additives

Contact Info

Product

Resources

About