Analysis of the Effect of In-cylinder Parameters on NOX and HC Emissions of a CI Engine Using Artificial Neural Networks

Analysis and prediction of NO_X and HC emissions for CI engines based on combustion parameters would enable better engine design and fuel selection leading to lesser emissions. It is possible that NO_X emissions, which are controlled by combustion temperature, could be predicted from in-cylinder parameters that include data form pressure and heat release patterns. A similar attempt could be performed for HC emissions also. This paper hereby attempts to correlate NO_X and HC emissions of a CI engine with in-cylinder parameters and also hopes to evaluate the relative impacts of each of these parameters on NO_X and HC emissions.