Wear Characteristic of ZrO2/MGO as Lubricant in Different Rotating Speed

Saini, Dharmender Singh; Matharu, Surendra Pal Singh

doi:10.24874/ti.1315.06.22.09

Cited by 3 publications

(3 citation statements)

References 48 publications

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“…Greases are widely recognized as excellent lubricants due to their efficient lubrication and ability to reduce the wear and friction between surfaces. Different types of greases, such as lithium grease, calcium grease, and Bentone grease, are utilized in mechanical applications based on specific needs and conditions. − Recent innovations in the field include nanoparticles, which have distinct properties compared with bulk materials. Nanoparticles can be synthesized through mechanical or chemical processes.…”

Section: Introductionmentioning

confidence: 99%

“…Jiusheng et al prepared novel nanomagnetic grease that exhibited favorable lubricating properties; they also analyzed the interaction between the magnetic grease and the original grease to determine the mechanism by which the magnetic grease provided lubrication. The antiwear and EP properties of the greases were improved massively in some cases. ,,− …”

Section: Introductionmentioning

confidence: 99%

“…The antiwear and EP properties of the greases were improved massively in some cases. 2 , 6 , 29 − 34 …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Tribological Performance Evaluation of Greases on a Four-Ball Tester with Graphene Oxide Nanoparticles

Singh,

Saini,

Matharu

et al. 2023

ACS Omega

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Conventional greases have an exceptional place in the field of lubrication. They are unique in the sense of their areas of application and are very difficult to replace with other lubricating substances for the same reason. The advancements in the field of nanoparticles and the results they provide as an additive in greases have great scientific interest as they improve the tribological properties of greases to a great extent. The current work's aim is to synthesize a nanogripe using graphene oxide (GO) nanoparticles to lithium grease (Li grease), which will increase the tribological properties of the plain Li grease. Steps were taken to investigate the impact of variation of load on the frictional and wear characteristics of nanogrease. Synthesis of nanogrease and tribological evaluation were performed with a magnetic stirrer with a hot plate and a four-ball tester. Results indicated that nanogrease exhibits better tribological properties. It is also found that the antiwear and frictional properties of grease are not proportional to the wt % of GO nanoparticles. It is also detected that with the increase in load, the tribological properties of nanogrease increase.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Tribological Performance Evaluation of Greases on a Four-Ball Tester with Graphene Oxide Nanoparticles

Singh,

Saini,

Matharu

et al. 2023

ACS Omega

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Optimisation of Predicted Wear and Friction for Electroless Ni–P by RSM, Fuzzy Logic and ANFIS Using TOPSIS

Salim

Saini²,

Matharu

et al. 2023

Trans Indian Inst Met

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Optimum selection of nature-inspired texture pattern for cutting tool surface using an integrated multi-criteria decision-making approach: a comparative analysis

Soni,

Neigapula,

Jagadish

2024

ILT

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Purpose This paper aims to focus on the selection of an appropriate nature-inspired texture pattern for cutting tool tribological surface. The selection process uses the recognized skin textures of different snakes scrolling on highly rough and projected surface conditions to analyze suitability of texture based on the texture geometry and machining conditions. The work also aims to propose a texture pattern selection process to incorporate on cutting tool tribological surface. Design/methodology/approach The selection of alternative nature-inspired texture patterns based on the texture pattern geometry and machining properties leads to a multi-criteria decision-making problem. Thirteen criteria are considered for selecting an appropriate texture pattern among 14 alternatives, i.e. nature-inspired texture patterns. In the present work, an integrated analytical hierarchy process (AHP)-TOPSIS, AHP-multi-objective optimization on the basis of ratio analysis (MOORA) and AHP-Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) approaches have been proposed for the selection of an appropriate nature-inspired texture pattern. AHP is used for the formulation of decision-making matrix and criteria weight calculations and ranking of alternatives is done by three methods. Spearman’s correlation compared and found positive relations between rank assigned by methods. Experimental validation is done in Lathe for selected texture effects. Findings The texture parameters C-1 (Width of texture) and C-2 (Depth of texture) are found significant, while T-2 (Blended Krait) and T-6 (Banded Racer-1) texture is found optimal to generate on cutting tool surface. Research limitations/implications Only some nature-inspired texture patterns have been recognized before the selection; an infinite number of textures are available in nature. The size of the texture pattern is difficult to identify by the selection process because each texture pattern may have different effects on tribological surfaces. Practical implications The proposed selection methodology of nature-inspired texture patterns will help identify optimal texture geometry for specific tribological applications. The nature-inspired texture patterned tool has a significant impact on the cutting force and temperature due to its tribological effect on the cutting tool surface; it decreases the power required for machining. The machining characteristics like roughness are found to decrease by using nature-inspired texture patterned tools. Social implications Various nature-inspire texture studies to generate specific effects on the tribological surfaces may be started study for the surface of aircraft, ships, bearings, etc. Small and big fabrication industries may benefit by decreasing the cost of machining using nature-inspired texture-patterned tools. Research society will pay attention to nature’s inspiration. Originality/value Novel snake-skin-inspired texture patterns are recognized and hybrid MCDM methods are proposed to select optimal texture pattern. Proposed method used single time normalization to effectively rank the alternatives. The insights gained from this research can be extrapolated to address similar challenges in selecting nature-inspired textures for various applications. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2024-0163/

show abstract

Wear Characteristic of ZrO2/MGO as Lubricant in Different Rotating Speed

Cited by 3 publications

References 48 publications

Tribological Performance Evaluation of Greases on a Four-Ball Tester with Graphene Oxide Nanoparticles

Tribological Performance Evaluation of Greases on a Four-Ball Tester with Graphene Oxide Nanoparticles

Optimisation of Predicted Wear and Friction for Electroless Ni–P by RSM, Fuzzy Logic and ANFIS Using TOPSIS

Optimum selection of nature-inspired texture pattern for cutting tool surface using an integrated multi-criteria decision-making approach: a comparative analysis

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