Emission Analysis of a Diesel Engine Using ANN – A Review

Pai, Srinath and Krishnaprasad, . and Sharief, Abdul and Shivakumar, . (2016) Emission Analysis of a Diesel Engine Using ANN – A Review. International Journal of Engineering Trends and Technology, 40. pp. 123-129. ISSN 2231-5381

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Abstract

Biodiesel is getting increasing attention each passing day because of its compatibility with diesel fuel and mainly its capacity to reduce the emission to certain extent. According to the research, Biodiesel blending besides improves the performance of diesel engines, it also over looks to control exhaust emissions as per government regulations. Therefore, this study is focused the prediction of the exhaust emissions, carried out for neural networks to define how the inputs affect the outputs using the biodiesel blends. Generally, 80% of the obtained experimental data is employed for training process. In addition, 10% of the data (randomly selected) is used for network validation and the remaining data is employed for testing the accuracy of the network. The mean square error function is employed for evaluating the performance of the network. The results show that the artificial neural network can efficiently be used to predict emissions from the tested engine with about 10% error. This study shows that, as an alternative to classical modeling techniques, the Artificial Neural Network (ANN) approach can be utilized to accurately predict the emissions of internal combustion engines.

Item Type: Article
Uncontrolled Keywords: Artificial Neural Network, Carbon Monoxide, Nitrogen Oxide. Biodisel, Diesel Engine
Subjects: Engineering > MIT Manipal > Mechanical and Manufacturing
Depositing User: MIT Library
Date Deposited: 09 Dec 2016 08:53
Last Modified: 09 Dec 2016 08:53
URI: http://eprints.manipal.edu/id/eprint/147680

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