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General Information
Editor-in-chief
Prof. T. Hikmet Karakoc
Anadolu University, Faculty of Aeronautics and Astronautics, Turkey

IJET 2010 Vol.2(1): 23-27 ISSN: 1793-8236
DOI: 10.7763/IJET.2010.V2.94

Performance and Exhaust Emissions Analysis of a Diesel Engine Using Methyl Esters of Fish Oil with Artificial Neural Network Aid

T. Hari Prasad, K. Hema Chandra Reddy, and M. Muralidhara Rao

Abstract—This study deals with artificial neural network (ANN) modeling of a diesel engine to predict the exhaust emissions of the engine. To acquire data for training and testing the proposed ANN, a single cylinder, four-stroke test engine was fuelled with biodiesel blended with diesel and operated at different loads. Using some of the experimental data for training, an ANN model based on feed forward neural network for the engine was developed. Then, the performance of the ANN predictions were measured by comparing the predictions with the experimental results which were not used in the training process. It was observed that the ANN model can predict the engine exhaust emissions quite well with correlation coefficients, with very low root mean square errors. This study shows that, as an alternative to classical modeling techniques, the ANN approach can be used to accurately predict the performance and emissions of internal combustion engines.

Index Terms—Artificial neural network; diesel engine; biodiesel; methyl esters of fish oil; Exhaust emissions.

T. Hari Prasad is with Sri Venkateswara College of Engineering, R.V.S nagar, tirupathi road, chittoor, Andhra Pradesh, India -517127 (Phone: +919885404470; e-mail: thprasads@gmail.com).
K. Hemachandra Reddy is with Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India.  M. Muralidhara rao is with the swarnadra engineering college, Naraspuram, india .

[PDF]

Cite: T. Hari Prasad, K. Hema Chandra Reddy and M. Muralidhara Rao, "Performance and Exhaust Emissions Analysis  of  a  Diesel  Engine  Using  Methyl  Esters  of  Fish  Oil  with  Artificial  Neural  Network  Aid," International Journal of Engineering and Technology vol. 2, no. 1, pp. 23-27, 2010.

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