An experimental-based artificial neural network performance study of common rail direct injection engine run on plastic pyrolysis oil

ABSTRACT

Artificial neural network model was constructed to analyse and evaluate the engine performance. The experiments were conducted on a diesel engine with the blend of plastic pyrolysis oil with diesel and ethanol. Three input layer with two hidden layers and five output layers were used in artificial neural network modelling. The learning algorithm called feed-forward back-propagation was applied for the hidden layer. To train the neural network, 70% of the complete data from the experimentation was selected and 30% in predicting from the neural network. The model developed for prediction has excellent agreement as observed from the correlation coefficient (R) within the range of 0.964–0.9816. Statistical analysis shows that the ANN predicted and experimental results are in close agreement with each other. Overall, it could be concluded that it is a mean to predict the virtual sensing in studying the real time with established artificial neural network architecture. In addition, common rail direct injection engine operation could give complete freedom from diesel and thereby provides energy security and sustainable of a nation.

KEYWORDS:

• Common rail direct injection (CRDI)
• plastic pyrolysis oil (PPO)
• ethanol
• engine performance
• exhaust gas recirculation (EGR)
• artificial neural network (ANN)

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Deanship of Scientific Research, King Khalid University [Grant Number R.G.P.1/86/40.].

Notes on contributors

S. V. Khandal

Dr. S. V. Khandal is currently working as Associate Professor in the Department of Mechanical Engineering, Sanjay Ghodawat University, Kolhapur-416118, Maharashtra State, India. He has experience of 12 years in teaching and 07 years in research and published 40 plus research articles in peer reviewed journals and 1 book chapter. His research interests are in the areas of alternative fuels, thermodynamics, combustion and renewable energy sources.

Sudershan B. Gadwal

Dr. Sudershan B. Gadwal is currently working as Associate professor and Head of the Department in Mechanical Engineering at A.G. Patil Institute of Technology, Solapur, India. He completed his PhD. in Mechanical Engineering and M.Tech in Thermal power Engineering. He is having 16+ years of teaching experience and 05 years in research and published more than 10 research articles in Peer revived journals. His research area includes Alternative fuels, sustainable energy, Refrigeration and Air conditioning. He has published papers in International journal and National conferences.

Venkatesh A. Raikar

Dr. Venkatesh A. Raikar is currently Professor in the Department of Mechanical Engineering and vice chancellor, Sanjay Ghodawat University, Kolhapur-416118, Maharashtra State, India. He has experience of 35 years in teaching and 15 years in research and published 25 plus research articles in peer reviewed journals. His research interests are in the areas of robotics, industry 4.0 and renewable energy sources.

T.M. Yunus Khan

Dr. T. M. Yunus Khan received his Ph.D. degree from University of Malaya, Malaysia. He is currently working as Assistant Professor in Department of Mechanical Engineering, King Khalid University, Saudi Arabia. His research focuses are Heat transfer, fluid flow and biodiesel production and IC engines.

Irfan Anjum Badruddin

Dr. Irfan Anjum Badruddin received his Ph.D. from University Sains Malaysia, Malaysia. He is currently working as Professor in Department of Mechanical Engineering, King Khalid University, Saudi Arabia. His interest includes, heat transfer in porous medium, blood flow in human body, biodiesel production, Renewable energy.