Application of artificial neural network and response surface methodology for predicting and optimizing dual-fuel CI engine characteristics using hydrogen and bio fuel with water injection

Title
Application of artificial neural network and response surface methodology for predicting and optimizing dual-fuel CI engine characteristics using hydrogen and bio fuel with water injection
Authors
Keywords
Hydrogen, Lemongrass oil biodiesel, Water injection, Engine characteristics analysis
Journal
FUEL
Volume 270, Issue -, Pages 117576
Publisher
Elsevier BV
Online
2020-03-14
DOI
10.1016/j.fuel.2020.117576

Ask authors/readers for more resources

Reprint

Contact the author

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started