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 Hydra s...
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Trans Tech Publications, Switzerland
2014
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my.utm.518862018-11-09T08:29:39Z http://eprints.utm.my/id/eprint/51886/ Application of ANN to predict S.I. engine performance and emission characteristics fuelled bioethanol Thangavelu, Saravana Kannan Ahmed, Abu Saleh Ani, Farid Nasir 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 Article PeerReviewed Thangavelu, Saravana Kannan and Ahmed, Abu Saleh and Ani, Farid Nasir (2014) Application of ANN to predict S.I. engine performance and emission characteristics fuelled bioethanol. Applied Mechanics and Materials, 554 . pp. 454-458. ISSN 1660-9336 http://dx.doi.org/10.4028/www.scientific.net/AMM.554.454 |
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TJ Mechanical engineering and machinery Thangavelu, Saravana Kannan Ahmed, Abu Saleh Ani, Farid Nasir Application of ANN to predict S.I. engine performance and emission characteristics fuelled bioethanol |
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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) |
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Article |
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Thangavelu, Saravana Kannan Ahmed, Abu Saleh Ani, Farid Nasir |
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Thangavelu, Saravana Kannan Ahmed, Abu Saleh Ani, Farid Nasir |
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Thangavelu, Saravana Kannan |
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 |
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Application of ANN to predict S.I. engine performance and emission characteristics fuelled bioethanol |
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Application of ANN to predict S.I. engine performance and emission characteristics fuelled bioethanol |
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application of ann to predict s.i. engine performance and emission characteristics fuelled bioethanol |
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Trans Tech Publications, Switzerland |
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2014 |
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http://eprints.utm.my/id/eprint/51886/ http://dx.doi.org/10.4028/www.scientific.net/AMM.554.454 |
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