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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Main Authors: Saravana, Kannan Thangavelu, Abu Saleh, Ahmed, Ani, F.N.
Format: Article
Language:English
Published: Trans Tech Publications, Switzerland 2014
Subjects:
Online Access:http://ir.unimas.my/id/eprint/13919/
http://ir.unimas.my/id/eprint/13919/1/Application%20of%20ANN%20to%20Predict%20S.I.%20Engine%20Performance%20%28abstract%29.pdf
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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
building UNIMAS Institutional Repository
collection Online Access
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).
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spelling unimas-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 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
spellingShingle 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
title 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_short 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
topic TJ Mechanical engineering and machinery
url http://ir.unimas.my/id/eprint/13919/
http://ir.unimas.my/id/eprint/13919/
http://ir.unimas.my/id/eprint/13919/
http://ir.unimas.my/id/eprint/13919/1/Application%20of%20ANN%20to%20Predict%20S.I.%20Engine%20Performance%20%28abstract%29.pdf