Search Results

Multidimensional modeling of in-cylinder processes has traditionally relied upon comparison with experimentally determined gross quantities, such as swirl ratio or valve discharge coefficient. Recent experimental studies have focused on accurate in-cylinder measurement of quantities such as velocity fields, species concentration distributions and distributions or turbulent kinetic energy. Since the most important engine design parameters, including filling efficiency, flame stability and pollutant formation depend on the local flow field, the ability to accurately predict these details is a key requirement for successful application of computational fluid dynamics techniques to engine design.