Abstract
A numerical model to predict pre-ignition phenomena in spark ignition engines is presented. The model is based on using a detailed chemistry model of a primary reference fuel (PRF) for gasoline. In order to save computational costs for calculating auto-ignition elementary reaction, a zonal chemistry approach is employed, thereby being able to simplify the description of the cylinder thermodynamic space. The model is embedded into a general CAE tool-chain including CFD for charge motion and mixture formation prediction and FEA heat load analysis for accurate wall temperature determination. By means of this approach, physical mechanisms due to the influence of hot surfaces and the effect of evaporated lubrication oil on promoting auto-ignition effects are numerically studied. Furthermore, other phenomena as the sensitivity study of stochastically occurring events are discussed. Results of the chemistry predictions are compared to experimental measurements from the single cylinder engine test bench.
