Artificial neural networks applications in prediction of performance, combustion, emissions, vibrations, and noise parameters of VCR diesel engine using Niger seed oil methyl ester blends and hydrogen in dual fuel mode-Reference-Cited by-同舟云学术

Artificial neural networks applications in prediction of performance, combustion, emissions, vibrations, and noise parameters of VCR diesel engine using Niger seed oil methyl ester blends and hydrogen in dual fuel mode

Published:2021-06-20 Issue: Volume: Page:1-28
ISSN:0143-0750
Container-title:International Journal of Ambient Energy
language:en
Short-container-title:International Journal of Ambient Energy

Author:

Jaikumar S¹,Bhatti S K²,Srinivas V¹

Affiliation:

1. Department of Mechanical Engineering, GITAM University, India

2. Department of Mechanical Engineering, Andhra University, India

Publisher

Informa UK Limited

Subject

Building and Construction,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/01430750.2021.1946847

Reference18 articles.

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3. Erinc, U., Yildizhan, Kadir, A., and Mustafa, O. 2016. “Vibration, noise and exhaust emissions analysis of an unmodified compression ignition engine fuelled with low sulphur diesel and biodiesel blends with hydrogen addition.” International Journal of hydrogen energy 41: 11481-490.

4. Erol, A. 2004. “Performance comparison of CFCs with their substitutes using artificial neural networks.” International Journal of Energy Research 20: 1113 -1125.

5. Ghobadian, B., Rahimi, H., Nikbakht, A. M., Najafi, G., and Yusaf, T. F. 2009. “Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network.” Renewable Energy 34: 976-82.

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