On Predictive Nozzle Simulations with Advanced Equations of State and Pressure Boundary Conditions 2022-01-0504

The reduction of harmful emissions is a key challenge in fighting climate change and global warming. Besides battery electric vehicles (BEVs), improved engine efficiency and alternate fuels, such as e-fuels or biofuels, can improve the emission budget of the transportation sector. Pred ictive simulations can be utilized as these avoid relying on slow manufacturing processes and expensive experiments. As the properties of alternative fuels can change drastically compared to classical fuels, even engine parameters, such as the mass flow rate, need to be reevaluated and optimized. However, simulation frameworks often rely on mass flow rates as input quantity, and hence, a prediction is impossible. This paper gives accurate pressure-based boundary conditions for multiphase systems and focuses on equations of state (EOS) employed in homogeneous equilibrium models (HEMs). Additionally, a dual-density approach is introduced to correct modeling errors that are intrinsic to a particular EOS. The methods were implemented in the simulation code CIAO and applied to two different gasoline direct injection setups, as well as two nozzles of the Engine Combustion Network (ECN) for validation. The results are discussed and analyzed, especially with respect to cavitation and hydraulic flip.