A Regression Analysis on Tribological Properties of Cerium Oxide-Engine Oil: Effects of Nanoparticles Concentration

Authors

  • Muhammad Alam Zaib Khan University of Engineering and Technology, Peshawar https://orcid.org/0000-0002-3959-2723
  • Waleed Ahmad Khan Department of Mechanical Engineering, University of Engineering & Technology, Peshawar, Pakistan
  • Muhammad Ali Kamran Department of Mechanical Engineering, University of Engineering & Technology, Peshawar, Pakistan
  • Naveed Ahmad Department of Mechanical Engineering, University of Engineering & Technology, Peshawar, Pakistan

Keywords:

Engine Oil, Nanoparticles, ANOVA, Regression Analysis

Abstract

Engine Oil is used as a lubricant in automotive engines. It’s thermophysical properties can be enhanced upon addition of nanoparticles into it in certain proportions so that the performance of the engine and its durability are increased. This research incorporates cerium oxide nanoparticles in different proportions into SAE 20W40 grade engine oil experimentally as per the standards of the American Society for Testing and Materials, and then evaluates the data collected in statistical software Design Expert used in Design of Experiments. The results showed that the mixture of engine oil with 0.7 wt % cerium oxide nanoparticles had the highest viscosity index, minimum pour point, and an in-range flash point producing an overall desirability factor of approximately 0.90. This could lead to increased efficiency, reduced maintenance costs, and longer engine lifespan.

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Published

2023-06-19

Issue

Vol. 4 No. 2 (2023): The Sciencetech, Apr-Jun 2023

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.