Artificial neural networks approach for the prediction of thermal balance of SI engine using ethanol-gasoline blends

Kiani, Mostafa Kiani Deh and Ghobadian, Barat and Ommi, Fathollah and Najafi, Gholamhassan and Yusaf, Talal (2012) Artificial neural networks approach for the prediction of thermal balance of SI engine using ethanol-gasoline blends. In: 2012 International Cross-Domain Conference and Workshop on Availability, Reliability, and Security (CD-ARES 2012), 20-24 Aug 2012, Prague, Czech Republic.

Abstract

This study deals with artificial neural network (ANN) modeling of a spark ignition engine to predict engine thermal balance. To acquire data for training and testing of ANN, a four-cylinder, four-stroke test engine was fuelled
with ethanol-gasoline blended fuels with various percentages of ethanol and operated at different engine speeds and loads. The performance of the ANN was
validated by comparing the prediction data set with the experimental results.

Results showed that the ANN provided the best accuracy in modeling the
thermal balance with correlation coefficient equal to 0.997, 0.998, 0.996 and 0.992 for useful work, heat lost through exhaust, heat lost to the cooling water and unaccounted losses respectively. The experimental results showed as the percentage of ethanol in the ethanol-gasoline blends is increased, the percentage of useful work is increased, while the heat lost to cooling water and exhaust are decreased compared to neat gasoline fuel operation.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy. Series title: Lecture Notes in Computer Science, vol 7465 © IFIP International Federation for Information Processing.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 06 Feb 2013 05:34
Last Modified: 10 Apr 2017 02:59
Uncontrolled Keywords: SI engine; thermal balance; ethanol-gasoline blends; artificial neural network
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080108 Neural, Evolutionary and Fuzzy Computation
09 Engineering > 0902 Automotive Engineering > 090201 Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)
09 Engineering > 0913 Mechanical Engineering > 091307 Numerical Modelling and Mechanical Characterisation
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1007/978-3-642-32498-7_3
URI: http://eprints.usq.edu.au/id/eprint/21919

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