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Research Article

Recycling of waste lubricating oil using ultra filtration membrane and modeling and prediction of its rheological behavior using Gauss-Newton algorithm

Afreen Nissar1, M. Hanief1, Fasil Qayoom Mir2

1Mechanical Engineering Department, National Institute of Technology, Srinagar, India
2Chemical Engineering Department, National Institute of Technology, Srinagar, India

Keywords

Abstract


Oil;

Recycling;

Lubrication; 

 Membrane;

 Viscosity;  

Rheology

In this research, ultrafiltration membrane made of Polyacrylonitrile (PAN) was employed to recover the lubricating oil from the waste oil in tandem with other treatment methods. FESEM was also used to analyze the structure of the membrane. The resultant recycled oil was monitored with Rheometer, FTIR and UV Spectrometer and it was found that the method successfully removed ˃90% of contaminants and heavy metals from the waste oil and improved the properties of the oil. The proposed method proved to be very economical and gave very promising results to reclaim the waste engine oil that can be re-used for various purposes. Also, the rheological behavior of engine oil is studied by a proposed mathematical model. Given that the suggested model was non-linear, the Gauss-Newton (GN) algorithm was employed to determine the ideal values for the model parameters. The experimental results obtained for virgin, waste and recycled lubricating oils from rheometer were used for validation of the model. The proposed model was compared with Reynold’s exponential model based on statistical methods (co-efficient of determination (R2) and mean square error (MSE)). It was found that that the proposed model can predict the change in viscosity with temperature with very high degree of accuracy (>99%).

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2023 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.



2023 Best Paper Award:

The paper authored by Ferzan Fidan, Naim Aslan, Mümin Mehmet Koç entitled as “Morpho-structural and compressive mechanical properties of graphene oxide reinforced hydroxyapatite scaffolds for bone tissue applications” is awarded.



2023 Most Cited Paper Award:

The paper authored by Ercan Işık, Ehsan Harirchian, Hüseyin Bilgin, Kirti Jadhav entitled as “The effect of material strength and discontinuity in RC structures according to different site-specific design spectra" is awarded.


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