On predictive nozzle simulations with advanced equations of state and pressure boundary conditions
2022-01-0605
03/29/2022
- Event
- Content
- The reduction of harmful emissions is a key challenge for fighting climate change and global warming. Besides battery electric vehicles (BEVs), improved engine efficiency and alternate fuels, such as e-fuels or biofuels, are options to improve the emission budget of the transportation sector. To accelerate this development, predictive simulations can be utilized as these avoid scientists to rely on slow manufacturing processes. 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, often simulation frameworks rely on mass flow rates as input quantity and thus a prediction is not possible. This paper gives accurate pressure based boundary conditions for multi-phase system. It focuses on equation of states employed in homogeneous equilibrium models (HEMs). Additionally, a dual-density approach is introduced to correct for modeling errors which are intrinsic to certain equation of states. The methods are implemented in the simulation code CIAO and applied to two different gasoline direct injection setups. The results are discussed and analyzed.
- Citation
- Bode, M., "On predictive nozzle simulations with advanced equations of state and pressure boundary conditions," SAE Technical Paper 2022-01-0605, 2022, .