Application of ANN to Predict S.I. Engine Performance and Emission Characteristics Fuelled Bioethanol
The performance of artificial neural network (ANN) to predict spark ignition (S.I) engine performance such as torque, BSFC, exhaust temperature and emissions (CO and HC) for various compression ratios was investigated.For training and testing the ANN, experimental data from a single cylinder Hydr...
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Trans Tech Publications, Switzerland
2014
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Online Access: | http://ir.unimas.my/id/eprint/13919/1/Application%20of%20ANN%20to%20Predict%20S.I.%20Engine%20Performance%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/13919/ http://www.scientific.net/AMM.554.454 |
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my.unimas.ir.139192016-10-13T01:49:48Z http://ir.unimas.my/id/eprint/13919/ Application of ANN to Predict S.I. Engine Performance and Emission Characteristics Fuelled Bioethanol Saravana, Kannan Thangavelu Abu Saleh, Ahmed Ani, F.N. TJ Mechanical engineering and machinery The performance of artificial neural network (ANN) to predict spark ignition (S.I) engine performance such as torque, BSFC, exhaust temperature and emissions (CO and HC) for various compression ratios was investigated.For training and testing the ANN, experimental data from a single cylinder Hydra spark ignition engine powered by various bioethanol and gasoline blends (E0, E10, E20, E40 and E60) were used. ANN performance was measured by mean squared errors and correlation coefficient. The training function used was trainbr and the training algorithm used was feed-forward back propagation. The overall correlation coefficient obtained from the prediction was 0.98526 and the mean squared error obtained was very low (9.26E-06). Trans Tech Publications, Switzerland 2014 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/13919/1/Application%20of%20ANN%20to%20Predict%20S.I.%20Engine%20Performance%20%28abstract%29.pdf Saravana, Kannan Thangavelu and Abu Saleh, Ahmed and Ani, F.N. (2014) Application of ANN to Predict S.I. Engine Performance and Emission Characteristics Fuelled Bioethanol. Applied Mechanics and Materials, 554. pp. 454-458. ISSN 1662-7482 http://www.scientific.net/AMM.554.454 DOI: 10.4028/www.scientific.net/AMM.554.454 |
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TJ Mechanical engineering and machinery Saravana, Kannan Thangavelu Abu Saleh, Ahmed Ani, F.N. Application of ANN to Predict S.I. Engine Performance and Emission Characteristics Fuelled Bioethanol |
description |
The performance of artificial neural network (ANN) to predict spark ignition (S.I) engine
performance such as torque, BSFC, exhaust temperature and emissions (CO and HC) for various
compression ratios was investigated.For training and testing the ANN, experimental data from a
single cylinder Hydra spark ignition engine powered by various bioethanol and gasoline blends (E0,
E10, E20, E40 and E60) were used. ANN performance was measured by mean squared errors and
correlation coefficient. The training function used was trainbr and the training algorithm used was
feed-forward back propagation. The overall correlation coefficient obtained from the prediction was
0.98526 and the mean squared error obtained was very low (9.26E-06). |
format |
E-Article |
author |
Saravana, Kannan Thangavelu Abu Saleh, Ahmed Ani, F.N. |
author_facet |
Saravana, Kannan Thangavelu Abu Saleh, Ahmed Ani, F.N. |
author_sort |
Saravana, Kannan Thangavelu |
title |
Application of ANN to Predict S.I. Engine Performance and Emission Characteristics Fuelled Bioethanol |
title_short |
Application of ANN to Predict S.I. Engine Performance and Emission Characteristics Fuelled Bioethanol |
title_full |
Application of ANN to Predict S.I. Engine Performance and Emission Characteristics Fuelled Bioethanol |
title_fullStr |
Application of ANN to Predict S.I. Engine Performance and Emission Characteristics Fuelled Bioethanol |
title_full_unstemmed |
Application of ANN to Predict S.I. Engine Performance and Emission Characteristics Fuelled Bioethanol |
title_sort |
application of ann to predict s.i. engine performance and emission characteristics fuelled bioethanol |
publisher |
Trans Tech Publications, Switzerland |
publishDate |
2014 |
url |
http://ir.unimas.my/id/eprint/13919/1/Application%20of%20ANN%20to%20Predict%20S.I.%20Engine%20Performance%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/13919/ http://www.scientific.net/AMM.554.454 |
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1644511778733817856 |
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13.18916 |