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
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Application of ANN to Predict S.I. Engine Performance (abstract).pdf Download (165kB) | Preview |
Abstract
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).
| Item Type: | Article |
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| Uncontrolled Keywords: | S.I engine, bioethanol, ANN, performance, emission, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 13 Oct 2016 01:49 |
| Last Modified: | 13 Oct 2016 01:49 |
| URI: | http://ir.unimas.my/id/eprint/13919 |
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