Artificial neural networks for prediction of efficiency , fuel consumption and exhaust temperature in a CNG/Diesel dual fuel engine

During the last few years a great deal of effort has been made for the reduction of pollutant emissions from direct injection diesel engines. Various solutions have been proposed one of which is the use of gaseous fuels as a supplement for liquid diesel fuel.

کلیدواژه ها:

neural networks ، CNG/Diesel engine ، dual fuel engine (DFE) ، specific fuel consumption ، thermal efficiency exhaust gas temperature