With the evolution of the increasing obligations of meeting and respecting the Emission legislations in the present millennium and towards society at large, diesel engine based technology had undergone a paradigm shift in its perspectives to meet the desired objectives of the necessary emission standards. To this end Common Rail Direct Injection (CRDI) has ushered in a new edge in diesel engine control systems. Where in complete freedom of injection timing, injection pressure and amount of fuel injection can be suitably varied to meet the expected standards of performance and emission. The...

The present study explores the potential of artificial neural network to predict the performance and exhaust emissions of an existing single cylinder four-stroke CRDI engine under varying CNG and EGR strategies. Based on the experimental data an ANN model is developed to predict performance and emission parameters of the experimental engine. The study was carried out with 70% of total experimental data selected for training the neural network, 15% for the networks cross-validation and remaining 15% data has been used for testing the performance of the trained network. The developed ANN models...

In consideration with the observations on the inherent superior PM-NOx-BSFC trade-off characteristics provided by CRDI with CNG and EGR strategies during experimentation, a potential back drop is thus set to peruse a first of its kind optimization approach to further the trade-off potential of CNG and EGR by their simultaneous application in an existing diesel engine with common rail fuel injection system. FIP, EGR, CES and engine load were chosen as the control variables for the optimization study. An Adaptive Merit Function (AMF) was constituted as the objective function to be optimized and...