In this paper, emissions formation process and its interaction with the combustion event are established for fossil diesel and the methyl esters of coconut (CME), palm (PME) and soy (SME) across three different engine conditions. Here, the OpenFOAM® open source CFD codes are utilised to...

This paper reports an artificial neural networks (ANN) modelling programme for a light-duty diesel engine powered using blends of various biodiesel fuels with conventional fossil diesel. ANN was used here to predict nine different engine-out responses, namely carbon monoxide (CO), carbon dioxide...

Computational Fluid Dynamics (CFD) study of light-duty automotive diesel engines affords invaluable insights into in-cylinder conditions and processes, which greatly expands on the very limited detail provided by engine-out measurements of exhaust emissions. For the simulation to be successful,...