Optimization of Tribological Performance of hBN/AL2O3Nanoparticles as Engine Oil Additives

Abdullah, Muhammad Ilman Hakimi Chua; Abdollah, Mohd Fadzli Bin; Amiruddin, Hilmi; Tamaldin, Noreffendy; Nuri, Nur Rashid Mat

doi:10.1016/j.proeng.2013.12.185

Cited by 58 publications

(39 citation statements)

References 10 publications

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“…The severe furrowing observed in the previous test were reduced becoming less dense and slimer as seen in Fig.5 (b, c). This maybe due to a polishing effect when the solid superacid is added [20,21]. However, once the content of the solid superacid exceeded 1wt%, delamination gradually changed, reverting to bulk exfoliations, and deep, severe furrows as seen in Fig.5 (d, e).…”

Section: Tribological Mechanismsmentioning

confidence: 96%

Novel in situ tribo-catalysis for improved tribological properties of bio-oil model compound

Peng

Dearn

et al. 2018

Fuel

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Section: Tribological Mechanismsmentioning

confidence: 96%

Novel in situ tribo-catalysis for improved tribological properties of bio-oil model compound

Peng

Dearn

et al. 2018

Fuel

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“…The choice of Al 2 O 3 nanoparticles in this study is due to its extensive investigation in the literature along with its relatively cheap cost of purchase [49,50]. ZnO nanoparticles on the other is utilised because it has very good optical properties, enhanced bandgap energy along with its environmental friendliness and its stability nature [1].…”

Section: Hybrid Nanofluid Synthesis Characterisation and Thermal Conmentioning

confidence: 99%

“…Nanofluids are a colloidal suspension of nanometer-sized materials in base fluids. Nanofluids have unique characteristics when compared to conventional fluids, making them highly applicable in diverse fields [1]. Certain areas where nanotechnology have gained application are in microelectronics, medical and health technology, aerospace, agriculture [2] and even the decomposition of pollutants in the environment [3].…”

Section: Introductionmentioning

confidence: 99%

An intelligent approach to predicting the effect of nanoparticle mixture ratio, concentration and temperature on thermal conductivity of hybrid nanofluids

Wole‐Osho

Okonkwo

Adun

et al. 2020

J Therm Anal Calorim

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Hybrid nanofluids are better heat transfer fluids than conventional nanofluids because of the combined properties of two or more nanoparticles. In this study, the thermal conductivity of Al 2 O 3-ZnO nanoparticles suspended in a base fluid of distilled water is investigated. The experiments were conducted for three mixture ratios (1:2, 1:1 and 2:1) of Al 2 O 3-ZnO nanofluid at five different volume concentrations of 0.33%, 0.67%, 1.0%, 1.33% and 1.67%. X-ray diffractometric analysis, X-ray fluorescence spectrometry and scanning electron microscopy were used to characterise the nanoparticles. The highest thermal conductivity enhancement achieved for Al 2 O 3-ZnO hybrid nanofluids with 1:2, 1:1 and 2:1 (Al 2 O 3 :ZnO) mixture ratios was 36%, 35% and 40%, respectively, at volume concentration 1.67%. The study observed the highest thermal conductivity for Al 2 O 3-ZnO nanofluid was achieved at a mixture ratio of 2:1. A "deeping" effect was observed at a mixture ratio of 1:1 representing the lowest value of thermal conductivity within the considered range. The study proposed and compared three models for obtaining the thermal conductivity of Al 2 O 3-ZnO nanofluids based on temperature, volume concentration and nanoparticle mixture ratio. A polynomial correlation model, the adaptive neuro-fuzzy inference system model and an artificial neural network model optimised with three different learning algorithms. The adaptive neuro-fuzzy inference system model was most accurate in forecasting the thermal conductivity of the Al 2 O 3-ZnO hybrid nanofluid with an R 2 value of 0.9946.

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“…Therefore, nanomaterials can be regarded as a new type of additives for lubricating grease and is expected to improve the lubrication performance. However, only a few researches have already been carried out to investigate the applications of composite nanoparticles as additives for lubricating grease, such as Al 2 O 3 -Al-MgO composite nanoparticles [17], HBN-Al 2 O 3 composite nanoparticles [18], and SnO 2 -ZnO composite nanoparticles [19]. Yang [26] studied the lithium complex grease made from sulfurized isobutylene and ZDDP.…”

Section: Introductionmentioning

confidence: 99%

Tribological behavior of ZnO-Si₃N₄ nanoparticles-based lubricating grease

Wang

et al. 2018

Journal of Experimental Nanoscience

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Currently, nanoparticles have been widely used as lubricant additives, few researches have investigated their applications as additives for lubricating grease. In this paper, mixtures of ZnO and Si 3 N 4 nanoparticles were added into grease as additives. XRD and TEM were utilized to the investigate phase composition, microstructure and morphology of the nanomaterials. The composite grease was prepared by introducing ZnO and Si 3 N 4 nanoparticles into the grease matrix through ultrasonic dispersion. Then, tribological properties of the composite grease were measured through a MMW-1A universal friction tester. Results showed that the best lubrication performance was achieved when the composite grease contains 1 wt% ZnO and 0.5 wt%Si 3 N 4 . Under this condition, the friction coefficient and wear scar diameter decreased to 0.0701 and 0.727, which is 34.3% and 8.3% lower than that of the base greases, respectively. The morphology of composite nanoparticles is beneficial to the enhancement of antifriction property, which can be seen from SEM images. In addition, EDS analysis illuminated the accumulation of Zn and Si on the friction surface. Further researches proved its great potentials in alleviation of vibration, noise and temperature rise for high speed bearings, since the ZnO-Si 3 N 4 nanoparticles-based composite grease showed excellent lubrication and antifriction properties. ARTICLE HISTORY

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Optimization of Tribological Performance of hBN/AL2O3Nanoparticles as Engine Oil Additives

Cited by 58 publications

References 10 publications

Novel in situ tribo-catalysis for improved tribological properties of bio-oil model compound

Novel in situ tribo-catalysis for improved tribological properties of bio-oil model compound

An intelligent approach to predicting the effect of nanoparticle mixture ratio, concentration and temperature on thermal conductivity of hybrid nanofluids

Tribological behavior of ZnO-Si₃N₄ nanoparticles-based lubricating grease

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Optimization of Tribological Performance of hBN/AL2O3Nanoparticles as Engine Oil Additives

Cited by 58 publications

References 10 publications

Novel in situ tribo-catalysis for improved tribological properties of bio-oil model compound

Novel in situ tribo-catalysis for improved tribological properties of bio-oil model compound

An intelligent approach to predicting the effect of nanoparticle mixture ratio, concentration and temperature on thermal conductivity of hybrid nanofluids

Tribological behavior of ZnO-Si3N4 nanoparticles-based lubricating grease

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Product

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Tribological behavior of ZnO-Si₃N₄ nanoparticles-based lubricating grease