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4 Modelling and Analysis of the Oil-Film Pressure of a Hydrodynamic Journal Bearing Lubricated by Nano-based Biolubricants Using a D-Optimal Design

  • S. Baskar , G. Sriram , S. Arumugam and J. Paulo Davim
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Progress in Green Tribology
This chapter is in the book Progress in Green Tribology

Abstract

Synthetic lubricants with nano-additives have seen greater improvements in recent times. However, the information about the performance peculiarities of nano-based biolubricants in actual machines is scarce. Oil-film pressure is one of the crucial parameters when developing a new lubricant that describes the operating conditions in hydrodynamic lubrication regimes. To fill this gap, a response surface methodology (RSM) based on D-optimal design was employed to model and analyse the oil-film pressure of a hydrodynamic journal bearing, lubricated by nano-based biolubricants and a synthetic lubricant (SAE 20W40). The analysis was executed by selecting the bearing load and speed as numerical factor and synthetic/nano-based biolubricants as the categorical factor, to evaluate the lubricant’s oil-film pressure. The results showed that RSM based on D-optimal design was influential in the selection of suitable lubricant for a typical system, especially for the hydrodynamic journal bearing used in internal combustion engines. A bearing load of 2 kN, a speed of 1,000 rpm and a bronze bearing material lubricated with chemically modified rapeseed oil (CMRO) as the biolubricant dispersed with nano-CuO had the lowest oil-film pressure. Furthermore, the scanning electron microscopy analysis of the tested bearing surfaces lubricated with CMRO containing nano-CuO showed smoother than with a synthetic lubricant and other nano-based biolubricants.

Abstract

Synthetic lubricants with nano-additives have seen greater improvements in recent times. However, the information about the performance peculiarities of nano-based biolubricants in actual machines is scarce. Oil-film pressure is one of the crucial parameters when developing a new lubricant that describes the operating conditions in hydrodynamic lubrication regimes. To fill this gap, a response surface methodology (RSM) based on D-optimal design was employed to model and analyse the oil-film pressure of a hydrodynamic journal bearing, lubricated by nano-based biolubricants and a synthetic lubricant (SAE 20W40). The analysis was executed by selecting the bearing load and speed as numerical factor and synthetic/nano-based biolubricants as the categorical factor, to evaluate the lubricant’s oil-film pressure. The results showed that RSM based on D-optimal design was influential in the selection of suitable lubricant for a typical system, especially for the hydrodynamic journal bearing used in internal combustion engines. A bearing load of 2 kN, a speed of 1,000 rpm and a bronze bearing material lubricated with chemically modified rapeseed oil (CMRO) as the biolubricant dispersed with nano-CuO had the lowest oil-film pressure. Furthermore, the scanning electron microscopy analysis of the tested bearing surfaces lubricated with CMRO containing nano-CuO showed smoother than with a synthetic lubricant and other nano-based biolubricants.

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