Machine Learning and Experimental Study on the Fe2O3 Nanoparticles Blended Waste Cooking Oil Biodiesel on the Performance Of CI Engine

Authors

  • Manav Khera Department of Mechanical Engineering, HMRITM, Hamidpur, New Delhi., 110036, India Author
  • Abhendra Pratap Singh Department of Mechanical Engineering, HMRITM, Hamidpur, New Delhi., 110036, India Author
  • Md Ehsan Asgar Department of Mechanical Engineering, HMRITM, Hamidpur, New Delhi., 110036, India Author
  • Uma Gautam Department of Mechanical Engineering, HMRITM, Hamidpur, New Delhi., 110036, India Author
  • Rajeev Ranjan Department of Mechanical Engineering, HMRITM, Hamidpur, New Delhi., 110036, India Author
  • Nandini Sharma Department of Computer Science and Engineering, HMRITM, Hamidpur, New Delhi., 110036, India Author

DOI:

https://doi.org/10.21467/proceedings.7.6.32

Keywords:

brake thermal efficiency, biodiesel, nanoparticles blends

Abstract

The conventional fuels, being non-renewable and having adverse implications on environment, are not viable to be in use for much longer. This leads to the growing demand of a potential alternative which is both accessible and cleaner. The biofuel is one such promising solution aimed to reduce the reliance on fossil fuels while contributing to cleaner combustion. However, when used directly in engines, biofuels lead to incomplete combustion and escalated rate of exhaust emissions. This study hence aims to introduce and experimentally analyse the biofuels to overcome these limitations. As cooking oil is considered as waste and discarded after been used a few times, this cooking oil is being analysed with or without the addition of nanoparticles to perform a comparative experiment to reach the most suitable solution among them. This experimental research focuses on the utilization of metal oxide nano particles enhanced biofuels, optimizing the emission aspect and efficiency of fuel. A blend of 10% biofuel, both in presence and absence of, 50ppm iron oxide nano fuel, another blend of 15% biofuel with or without 50ppm iron oxide nanoparticles and pure diesel have been analysed in a variable CI engine. These samples are tested experimentally for various fuel characteristics such as fuel properties, BTE, viscosity and pollutant emissions reduction. Additionally, machine learning models, linear regression and random forest regression, are further used to calculate the biodiesel production process's response traits in regard to the process parameters. Hence, this study aims to examine the effect nano particles exhibit on fuel properties, combustion performance, and emission aspect. This could further contribute to the development of cleaner and more effective biofuels.

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Published

2025-11-21

Issue

Vol. 7 No. 6 (2025): Proceedings of the 3rd International Conference on Artificial Intelligence, Machine Learning and Cybersecurity

Section

Articles

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How to Cite

[1]
M. Khera, A. P. Singh, M. E. Asgar, U. Gautam, R. Ranjan, and N. Sharma, “Machine Learning and Experimental Study on the Fe2O3 Nanoparticles Blended Waste Cooking Oil Biodiesel on the Performance Of CI Engine”, AIJR Proc., vol. 7, no. 6, pp. 265–286, Nov. 2025, doi: 10.21467/proceedings.7.6.32.