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Shubham M. More
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Journal Articles

Evaluating the Operating Parameters of a Compression Ignition Engine Fueled With Waste Cooking Oil—Diesel Blends Using Artificial Neural Network and Ensemble Methods

Shubham M. More, Jyotirmoy Kakati, Ujjwal K. Saha
Journal: Journal of Engineering for Gas Turbines and Power
Article Type: Research-Article
J. Eng. Gas Turbines Power. July 2023, 145(7): 071010.
Paper No: GTP-23-1007
https://doi.org/10.1115/1.4062411
Published Online: May 25, 2023
View Article titled, Evaluating the Operating Parameters of a Compression Ignition Engine Fueled With Waste Cooking Oil—Diesel Blends Using Artificial Neural Network and Ensemble Methods
Open the PDF for Evaluating the Operating Parameters of a Compression Ignition Engine Fueled With Waste Cooking Oil—Diesel Blends Using Artificial Neural Network and Ensemble Methods in another window
Topics: Artificial neural networks, Combustion, Diesel, Diesel engines, Emissions, Engines, Fuels, Modeling, Testing
Proceedings Papers

Analyzing the Operating Parameters of a Compression Ignition Diesel Engine Using Artificial Neural Network

Jyotirmoy Kakati, Shubham M. More, Sukhomay Pal, Ujjwal K. Saha
Proc. ASME. POWER2022, ASME 2022 Power Conference, V001T07A010, July 18–19, 2022
Paper No: POWER2022-86409
https://doi.org/10.1115/POWER2022-86409
View Paper titled, Analyzing the Operating Parameters of a Compression Ignition Diesel Engine Using Artificial Neural Network
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Topics: Artificial neural networks, Compression, Diesel engines, Ignition
Journal Articles

Implementation of Soft Computing Techniques in Predicting and Optimizing the Operating Parameters of Compression Ignition Diesel Engines: State-of-the-Art Review, Challenges, and Future Outlook

Shubham M. More, Jyotirmoy Kakati, Sukhomay Pal, Ujjwal K. Saha
Journal: Journal of Computing and Information Science in Engineering
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. October 2022, 22(5): 050801.
Paper No: JCISE-21-1356
https://doi.org/10.1115/1.4053920
Published Online: March 24, 2022
View Article titled, Implementation of Soft Computing Techniques in Predicting and Optimizing the Operating Parameters of Compression Ignition Diesel Engines: State-of-the-Art Review, Challenges, and Future Outlook
Open the PDF for Implementation of Soft Computing Techniques in Predicting and Optimizing the Operating Parameters of Compression Ignition Diesel Engines: State-of-the-Art Review, Challenges, and Future Outlook in another window
Topics: Artificial neural networks, Diesel engines, Engines, Fuels, Nitrogen oxides, Emissions, Algorithms, Fuzzy logic, Biodiesel