"Optimization of C.I Engine Parameters Using Artificial Neural" by N. Balajiganesh and B.Chandra Mohan Reddy

International Journal of Mechanical and Industrial Engineering

Article Title

Optimization of C.I Engine Parameters Using Artificial Neural

Authors

N. Balajiganesh, Department of Mechanical Engineering, Vel-Tech University, Avadi – 600054, Tamilnadu, India.Follow
B.Chandra Mohan Reddy, Dept. of Mechanical Engineering, JNTUA College of Engineering, Anantapur – 515002, Andhra Pradesh, IndiaFollow

Abstract

Optimization of Compression Ignition Engines through advanced artificial neural network is the modern process in mechanization and best utilization of modern technology for better economic scenarios in coming generation. This project deals with the feasibility of using artificial neural networks in combination with genetic algorithms to optimize the diesel engine settings. The engine is operated by using diesel and sunflower oil blends and the output parameters are calculated theoretically with the standard mechanical formulae and those manual experimental calculated values are used for training several neural networks with different various hidden layer [ n x m ] matrix combinations. The output values given by these trained networks are compared with experimental values and out of which the trained error values are taken for all networks.

Recommended Citation

Balajiganesh, N. and Reddy, B.Chandra Mohan (2012) "Optimization of C.I Engine Parameters Using Artificial Neural," International Journal of Mechanical and Industrial Engineering: Vol. 1: Iss. 3, Article 5.
DOI: 10.47893/IJMIE.2012.1035
Available at: https://www.interscience.in/ijmie/vol1/iss3/5

DOI

10.47893/IJMIE.2012.1035

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