Machine Learning Analysis of Diesel Engine Performance Using Mahua Oil Blends of Biodiesel

Authors

  • Abhimanyu Ratra, Ram Janm Singh, Manish Thakur, Dr. Akbar Ali , Akshat Mishra, Mayank Pathariya, Manal Rijhwani

Keywords:

Diesel Engine, Mahua Oil, BSFC, Blending ratio.

Abstract

This research explores the optimization of diesel engine performance using biodiesel blends of mahua oil and diesel. Machine learning models were applied to evaluate the effects of blend percentage, compression ratio, and injection pressure on Brake Thermal Efficiency (BTE). The study establishes mahua oil as a viable biodiesel alternative that can enhance engine efficiency while reducing harmful emissions, contributing to the development of cleaner and more sustainable energy solutions.

References

Pourhoseini SH, Ghodrat M, Baghban M, Shams Z. Effects of blending energetic iron nanoparticles in B20 fuel on lower CO and UHC emissions of the diesel engine in cold start condition. Case Stud Therm Eng 2023; 41:102658.

Ntukidem, A., Achebo, O., Ozigaguna, U., Uwoghiren, F.O., & Obahiagbon, K.O. (2024, May 9). Optimization of Material Removal Rate in Computer Numerical Control Lathe Machine in Turning AISI 1040 Steel.

Downloads

Published

2024-12-03

How to Cite

Abhimanyu Ratra, Ram Janm Singh, Manish Thakur, Dr. Akbar Ali , Akshat Mishra, Mayank Pathariya, Manal Rijhwani. (2024). Machine Learning Analysis of Diesel Engine Performance Using Mahua Oil Blends of Biodiesel . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2456–2465. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2124

Issue

Section

Articles

Similar Articles

1 2 3 4 > >> 

You may also start an advanced similarity search for this article.