Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks

Butanol and ethanol are promising conventional fuel alternatives particularly when utilized in advanced combustion mode like homogeneous charge compression ignition (HCCI). This study investigates the performance and emission characteristics of HCCI engines fueled with oxygenated fuels (i.e. butanol and ethanol). The investigation is done through a combination of experimental data analysis and artificial neural network (ANN) modeling.

MoreLess

Year of publication:	2015
Authors:	Rezaei, Javad ; Shahbakhti, Mahdi ; Bahri, Bahram ; Aziz, Azhar Abdul
Published in:	Applied Energy. - Elsevier, ISSN 0306-2619. - Vol. 138.2015, C, p. 460-473
Publisher:	Elsevier
Subject:	HCCI \| Oxygenated fuel \| Engine performance \| Neural network

Online Resource

Check full text access |

More access options

Check Google Scholar

In libraries world-wide (WorldCat)

In German libraries (KVK)

subito order

I need help

More details

Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011116157