Parameter Optimization Using ANN for CI Engine with SCR
This paper deals with the optimization of six chosen parameters such as load, clearance of piston head, number of holes in nozzle, pressure of injection, catalysts used for reduction and oxidization in order to improve performance and minimize emissions like carbon monoxide and oxides of nitrogen from CI engine equipped with Selective Catalytic Reduction (SCR). Artificial Neural Networks (ANN) is ultilized for the purpose of optimization. The optimized parameter set is found using a trained network.The experimental outputs are compared with the output predicted by the ANN and the results are discussed. This optimized parameter set when used in engine is found to improve performance of the engine and decrease harmful emission produced from the engine thus promoting a cleaner environment.