Latvian Maritime academy

ANN modeling of gasoline engine to predict SFC, brake thermal efficiency, exhaust gas temperature andemissions [12]. Karonis et al. studied the expressions correlating the exhaust emissions from a dieselengine with some of the properties of fuels using ANN approach [13].Based on previous literature review, it is obvious that the use of ANN approach is a powerfulmodeling tool to identify relationships from input and output data. However, there is no investigation topredict exhaust emissions (NOx, CO 2 ) and performance parameters (effective power, specific fuelconsumption) of steam-injected diesel engine with exhaust gases recirculation (EGR) using ANNapproach. Therefore, an ANN structure with BP was developed to predict emissions and performanceparameters. So as to detect network performances, output parameters were compared with a experimentalresults.Materials and methodsExperimental detailsThe experiments were carried out with a single cylinder, naturally aspirated and four-stroke Dieselengine with a bowl in combustion chamber. The engine specification and experimental set-up are shownin Table 1 and Figure 1, respectively.Engine TypeTable 1. Engine specificationSuper StarBore [mm] 108Stroke [mm] 100Cylinder Number 1Stroke Volume [dm 3 ] 0,92Power, 1500 rpm, [kW] 13Injection pressure [bar] 175Injection timing [Crank Angle] 35Compression ratio 17Maximum speed [rpm] 2500CoolingInjectionWaterDirect InjectionFigure 1. Experimental Set-up22