Artificial neural networks approach for the prediction of thermal balance of SI engine using ethanol-gasoline blends
Paper
Paper/Presentation Title | Artificial neural networks approach for the prediction of thermal balance of SI engine using ethanol-gasoline blends |
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Presentation Type | Paper |
Authors | Kiani, Mostafa Kiani Deh (Author), Ghobadian, Barat (Author), Ommi, Fathollah (Author), Najafi, Gholamhassan (Author) and Yusaf, Talal (Author) |
Editors | Quirchmayr, Gerald, Basl, Josef, You, Ilsun, Xu, Lida and Weippl, Edgar |
Journal or Proceedings Title | Lecture Notes in Computer Science (Book series) |
Journal Citation | 7465, pp. 31-43 |
Number of Pages | 13 |
Year | 2012 |
Publisher | Springer |
Place of Publication | Berlin, Germany |
ISSN | 1611-3349 |
0302-9743 | |
ISBN | 9783642324970 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-32498-7_3 |
Web Address (URL) of Paper | http://link.springer.com/content/pdf/10.1007%2F978-3-642-32498-7_3 |
Conference/Event | 2012 International Cross-Domain Conference and Workshop on Availability, Reliability, and Security (CD-ARES 2012) |
Event Details | 2012 International Cross-Domain Conference and Workshop on Availability, Reliability, and Security (CD-ARES 2012) Event Date 20 to end of 24 Aug 2012 Event Location 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 Results showed that the ANN provided the best accuracy in modeling the |
Keywords | SI engine; thermal balance; ethanol-gasoline blends; artificial neural network |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
400201. Automotive combustion and fuel engineering | |
401706. Numerical modelling and mechanical characterisation | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Tarbiat Modares University, Iran |
Department of Mechanical and Mechatronic Engineering | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q17yx/artificial-neural-networks-approach-for-the-prediction-of-thermal-balance-of-si-engine-using-ethanol-gasoline-blends
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