Optimization of performance and emission of a diesel engine fueled with isopropyl alcohol Blends: A comparative ANN-GA and RSM-HCO application

This study focuses on optimizing the operating parameters of a diesel engine fueled by diesel-isopropyl alcohol blends, with the aim of enhancing engine performance and minimizing emissions. Using data collected from 144 experimental runs, predictive models were developed utilizing artificial neural...

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Bibliographic Details

Published in:	Engineering Science and Technology, an International Journal
Main Author:	Mehmet Şen
Format:	Article
Language:	English
Published:	Elsevier 2024-07-01
Subjects:	Alcohol-diesel blends Artificial neural networks Genetic algorithm Optimization Response surface methodology
Online Access:	http://www.sciencedirect.com/science/article/pii/S2215098624001198