Understanding the Influences of Thermal and Mixture Inhomogeneities on the Auto-Ignition Process in a Controlled Auto-Ignition (CAI) Engine Using LES
Institute of Energy and Powerplant Technology (EKT), Darmstadt University of Technology,
Darmstadt - Germany
2 Institute of Technical Thermodynamics (ITT), Karlsruhe Institute of Technology, Kaiserstr. 12, 76128 Karlsruhe - Germany
3 Institute of Internal Combustion Engines (IICE), Karlsruhe Institute of Technology, Kaiserstr. 2, 76131 Karlsruhe - Germany
4 Institute of Reactive Flows and Diagnostics (RSM), Technical University Darmstadt, Jovanka-Botschits-Str. 2, 64287 Darmstadt - Germany
5 Institute of Propulsion Technology, German Aerospace Center (DLR), 51417 Kln - Germany
* Corresponding author e-mail: firstname.lastname@example.org
Accepted: 10 July 2017
This work applies Large Eddy Simulation (LES) to the combustion process within a CAI engine. The chemical reaction is treated with a pre-tabulation approach based on homogeneous reactor simulations. At this juncture, a five-dimensional chemistry database is employed where the thermo-chemical properties are a function of the unburnt gas temperature, the air–fuel ratio, the exhaust gas ratio, the pressure, and the reaction progress variable. Statistical quantities are gathered for 20 simulated cycles and the averaged pressure curves get compared to measurements. The simulation data are then used to provide further insight into the auto-ignition process. It will be shown how thermo-chemical states are distributed within the cylinder and how the ignition quality depends on them. A statistical analysis is conducted to identify manifolds in the multi-dimensional scalar space along which the conditions leading to ignition evolve. Furthermore the strong influence in between consecutive cycles caused by the exhaust gas is investigated to identify the mechanism of cycle-to-cycle variations.
© E. Yildar et al., published by IFP Energies nouvelles, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.