Prediction, optimization, and validation of the combustion effects of diisopropyl ether-gasoline blends: A combined application of artificial neural network and response surface methodology-Reference-Cited by-同舟云学术

Prediction, optimization, and validation of the combustion effects of diisopropyl ether-gasoline blends: A combined application of artificial neural network and response surface methodology

Published:2024-10 Issue: Volume:305 Page:132185
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Seetharaman Sathyanarayanan,Suresh S.,Shivaranjani R.S.,Dhamodaran Gopinath,JS Femilda Josephin,Ali Alharbi Sulaiman,Pugazhendhi Arivalagan,Varuvel Edwin Geo^ORCID

Funder

King Saud University

Publisher

Elsevier BV

Reference39 articles.

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3. Combustion and emission characteristics of isoamyl alcohol-gasoline blends in spark ignition engine;Uslu;Fuel,2020

4. Optimization of gasoline engine operating parameters fueled with DIPE-gasoline blend: comparative evaluation between response surface methodology and fuzzy logic expert system;Sivakumar;Process Saf Environ Protect,2022

5. The use of pure methanol as fuel at high compression ratio in a single cylinder gasoline engine;Celik;Fuel,2011

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