Performance Modeling of Single Cylinder Diesel Engine for Pyrolysis Oil and Diesel Blend using Neural Networks

This investigation is an effort to find best optimization method for diesel engine using blended fuel. Present time, the scarcity of fossil fuel is a serious problem all over the world. So, researchers are trying to find best alternative fuel for that conventional fuel. When we use alternate fuel in diesel engine, we must have to optimize the parameter of diesel engine. The present trend will be used low emission fuels or technique which creates low emission & gives high thermal efficiency in vehicles. The purpose of this study is to experimentally analyze the performance and the pollutant emissions of a four-stroke CI engine operating on blends with the aid of artificial neural network (ANN).If parameter optimize for blended fuel, this is adventurous for decided fuel consumption. In this paper we critically examined various optimization techniques like, full factorial method response surface method, Taguchi method ,Artificial