ROLE OF WASTE COOKING OIL ON PERFORMANCE OF DESILE ENGINE EXHAUST EMISSION

Abstract

This report gives us detail study on Artificial Neural Network (ANN) modeling of a diesel engine using waste cooking biodiesel fuel to know the brake power, torque, specific fuel consumption and exhaust emissions of the engine. To get data for training and testing the proposed ANN, a two cylinder four-stroke diesel engine was fueled with waste vegetable cooking biodiesel and diesel fuel blends and operated at variable engine speed. The properties of biodiesel generated from waste vegetable oil was measured based on ASTM standards. The experimental results showed that blends of waste vegetable oil methyl ester with diesel fuel provide better engine performance and improved emission characteristics. Using some of the experimental data for training, an ANN model was developed based on standard Back-Propagation algorithm for the engine. Multi-layer perception network (MLP) was used for non- linear mapping between the input and output parameters. Various activation functions and several rules were used to get the percentage error between the desired and the predicted values. It was seen that the ANN model can anticipate the engine performance and exhaust emissions quite well with correlation coefficient (R) 0.9487, 0.999, 0.929 and 0.999 for the engine torque, SFC, CO and HC emissions, respectively. The prediction Mean Square Error (MSE), the error was between the desired outputs as measured values and the assumed values were obtained as 0.0004 by the model. This paper also shows the development of Biodiesel fuels in this case Waste Cooking Oil in performance of Diesel engine and also different industries. The application of biodiesel in automobile industry, the challenges of biodiesel industry development and the biodiesel policy are discussed as well. This paper also shows the effectivity of Biodiesel fuel use in diesel engine and the difference in performance of engine.