TY - CHAP A1 - Seidel, Lars A1 - Klauer, Christian A1 - Pasternak, Michal A1 - Matrisciano, Andrea A1 - Netzer, Corinna A1 - Hilbig, Martin A1 - Mauß, Fabian T1 - Systematic Mechanism Reduction for Engine Applications T2 - 5th International Workshop on Model Reduction in Reacting Flows, Lübbenau, 2015 N2 - In this work we apply various concepts of mechanism reduction with a PDF based method for species profile conservation. The reduction process is kept time efficient by only using 0D and 1D reactors. To account for the expansion phase in internal combustion engines a stochastic engine tool is used to validate the reduction steps. KW - Combustion, Mechanism Reduction Y1 - 2015 UR - www.modelreduction.net UR - http://modelreduction.net/wp-content/uploads/2015/07/5th_IWMRRF_2015.pdf ER - TY - CHAP A1 - Matrisciano, Andrea A1 - Borg, Anders A1 - Perlman, Cathleen A1 - Pasternak, Michal A1 - Seidel, Lars A1 - Netzer, Corinna A1 - Mauß, Fabian A1 - Lehtiniemi, Harry T1 - Simulation of DI-Diesel combustion using tabulated chemistry approach T2 - 1st Conference on Combustion Processes in Marine and Automotive Engines, 7th - 8th June 2016, Lund, Schweden KW - Simulation of DI-Diesel Y1 - 2016 UR - http://ecco-mate.eu/images/Training%20events/LUND/ECCO-MATE_C1_Proceedings.pdf SP - 44 EP - 47 ER - TY - CHAP A1 - Seidel, Lars A1 - Netzer, Corinna A1 - Hilbig, Martin A1 - Mauß, Fabian A1 - Klauer, Christian A1 - Pasternak, Michal A1 - Matrisciano, Andrea T1 - Systematic Reduction of Detailed Chemical Reaction Mechanisms for Engine Applications T2 - ASME 2016 Internal Combustion Engine Division Fall Technical Conference Greenville, South Carolina, USA, October 9–12, 2016 N2 - In this work we apply a sequence of concepts for mechanism reduction on one reaction mechanism including novel quality control. We introduce a moment based accuracy rating method for species profiles. The concept is used for a necessity based mechanism reduction utilizing 0D reactors. Thereafter a stochastic reactor model (SRM) for internal combustion engines is applied to control the quality of the reduced reaction mechanism during the expansion phase of the engine. This phase is sensitive on engine out emissions, and is often not considered in mechanism reduction work. The proposed process allows to compile highly reduced reaction schemes for CFD application for internal combustion engine simulations. It is demonstrated that the resulting reduced mechanisms predict combustion and emission formation in engines with accuracies comparable to the original detailed scheme. KW - Systematic Reduction KW - Chemical Reaction Mechanismus for Engine Applications Y1 - 2016 SN - 978-0-7918-5050-3 N1 - Paper No. ICEF2016-9304 PB - The American Society of Mechanical Engineers CY - New York, N.Y. ER - TY - GEN A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Pasternak, Michal A1 - Klauer, Christian A1 - Perlman, Cathleen A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Engine Knock Prediction and Evaluation Based on Detonation Theory Using a Quasi-Dimensional Stochastic Reactor Mode T2 - SAE technical paper KW - Engine Knock Prediction and Evaluation Based Y1 - 2017 U6 - https://doi.org/10.4271/2017-01-0538 SN - 0096-5170 SN - 0148-7191 IS - 2017-01-0538 SP - 11 Seiten ER - TY - CHAP A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Pasternak, Michal A1 - Mauß, Fabian A1 - Lehtiniemi, Harry A1 - Perlman, Cathleen A1 - Ravet, Frédéric ED - Leipertz, Alfred ED - Fröba, Andreas Paul T1 - 3D CFD Engine Knock Predication and Evaluation Based on Detailed Chemistry and Detonation Theory T2 - Motorische Verbrennung : aktuelle Probleme und moderne Lösungsansätze, XIII. Tagung im Haus der Technik Ludwigsburg, 16.-17. März 2017 KW - 3D CFD Engine Knock Y1 - 2017 SN - 978-3-945806-08-1 PB - ESYTEC Energie- und Systemtechnik GmbH CY - Erlangen ER - TY - CHAP A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Pasternak, Michal A1 - Klauer, Christian A1 - Perlman, Cathleen A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Impact of Gasoline Octane Rating on Engine Knock using Detailed Chemistry and a Quasi-dimensional Stochastic Reaktior Model T2 - Digital Proceedings of the 8th European Combustion Meeting (ECM 2017), Dubrovnik, Croatia Y1 - 2017 UR - https://www.researchgate.net/publication/319059022 SP - 493 EP - 498 ER - TY - CHAP A1 - Pasternak, Michal A1 - Netzer, Corinna A1 - Mauß, Fabian A1 - Fischer, Michael A1 - Sens, Marc A1 - Riess, Michael ED - Günther, Michael ED - Sens, Marc T1 - Simulation of the Effects of Spark Timing and External EGR on Gasoline Combustion Under Knock-Limited Operation at High Speed and Load T2 - Knocking in Gasoline Engines, 5th International Conference, December 12-13, 2017, Berlin, Germany Y1 - 2018 SN - 978-3-319-69760-4 U6 - https://doi.org/10.1007/978-3-319-69760-4_8 SP - 121 EP - 142 PB - Springer International Publishing CY - Cham ER - TY - GEN A1 - Seidel, Lars A1 - Netzer, Corinna A1 - Hilbig, Martin A1 - Mauß, Fabian A1 - Klauer, Christian A1 - Pasternak, Michal A1 - Matrisciano, Andrea T1 - Systematic reduction of detailed chemical reaction mechanisms for engine applications T2 - Journal of Engineering for Gas Turbines and Power N2 - In this work, we apply a sequence of concepts for mechanism reduction on one reaction mechanism including novel quality control. We introduce a moment-based accuracy rating method for species profiles. The concept is used for a necessity-based mechanism reduction utilizing 0D reactors. Thereafter a stochastic reactor model for internal combustion engines is applied to control the quality of the reduced reaction mechanism during the expansion phase of the engine. This phase is sensitive on engine out emissions, and is often not considered in mechanism reduction work. The proposed process allows to compile highly reduced reaction schemes for computational fluid dynamics application for internal combustion engine simulations. It is demonstrated that the resulting reduced mechanisms predict combustion and emission formation in engines with accuracies comparable to the original detailed scheme. KW - Reaction Mechanism Reduction KW - Engine Modelling Y1 - 2017 U6 - https://doi.org/10.1115/1.4036093 SN - 1528-8919 SN - 0742-4795 VL - 139 IS - 9 SP - 091701-1 EP - 091701-9 ER - TY - CHAP A1 - Franken, Tim A1 - Netzer, Corinna A1 - Pasternak, Michal A1 - Mauß, Fabian A1 - Seidel, Lars A1 - Matrisciano, Andrea A1 - Borg, Anders A1 - Lehtiniemi, Harry A1 - Kulzer, André Casal T1 - Assessment of Water Injection in a SI Engine using a Fast Running Detailed Chemistry Based Combustion Model T2 - Symposium of Combustion Control 2018, Aachen KW - Assessment of Water Injection Y1 - 2018 UR - https://www.researchgate.net/publication/326059620 UR - http://logesoft.com/loge-16/wp-content/uploads/2018/07/2018-06-19-SCC_-1.pdf CY - Aachen ER - TY - GEN A1 - Franken, Tim A1 - Netzer, Corinna A1 - Pasternak, Michal A1 - Mauß, Fabian A1 - Seidel, Lars A1 - Matrisciano, Andrea A1 - Borg, Anders A1 - Lehtiniemi, Harry A1 - Kulzer, André Casal T1 - Simulation of Spark-Ignited Engines with Water Injection using the Stochastic Reactor Model, 37th International Symposium on Combustion Y1 - 2018 UR - https://www.researchgate.net/publication/328265636 ER - TY - GEN A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Pasternak, Michal A1 - Lehtiniemi, Harry A1 - Perlman, Cathleen A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Three-dimensional computational fluid dynamics engine knock prediction and evaluation based on detailed chemistry and detonation theory T2 - International Journal of Engine Research N2 - Engine knock is an important phenomenon that needs consideration in the development of gasoline-fueled engines. In our days, this development is supported using numerical simulation tools to further understand and predict in-cylinder processes. In this work, a model tool chain which uses a detailed chemical reaction scheme is proposed to predict the auto-ignition behavior of fuels with different octane ratings and to evaluate the transition from harmless auto-ignitive deflagration to knocking combustion. In our method, the auto-ignition characteristics and the emissions are calculated using a gasoline surrogate reaction scheme containing pathways for oxidation of ethanol, toluene, n-heptane, iso-octane and their mixtures. The combustion is predicted using a combination of the G-equation based flame propagation model utilizing tabulated laminar flame speeds and well-stirred reactors in the burned and … KW - Engine knock is an important phenomenon Y1 - 2018 U6 - https://doi.org/10.1177/1468087417740271 SN - 1468-0874 SN - 2041-3149 VL - 19 IS - 1 SP - 33 EP - 44 ER - TY - GEN A1 - Netzer, Corinna A1 - Pasternak, Michal A1 - Seidel, Lars A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Computationally efficient prediction of cycle-to-cycle variations in spark-ignition engines T2 - International Journal of Engine Research N2 - Cycle-to-cycle variations are important to consider in the development of spark-ignition engines to further increase fuel conversion efficiency. Direct numerical simulation and large eddy simulation can predict the stochastics of flows and therefore cycle-to-cycle variations. However, the computational costs are too high for engineering purposes if detailed chemistry is applied. Detailed chemistry can predict the fuels’ tendency to auto-ignite for different octane ratings as well as locally changing thermodynamic and chemical conditions which is a prerequisite for the analysis of knocking combustion. In this work, the joint use of unsteady Reynolds-averaged Navier–Stokes simulations for the analysis of the average engine cycle and the spark-ignition stochastic reactor model for the analysis of cycle-to-cycle variations is proposed. Thanks to the stochastic approach for the modeling of mixing and heat transfer, the spark-ignition stochastic reactor model can mimic the randomness of turbulent flows that is missing in the Reynolds-averaged Navier–Stokes modeling framework. The capability to predict cycle-to-cycle variations by the spark-ignition stochastic reactor model is extended by imposing two probability density functions. The probability density function for the scalar mixing time constant introduces a variation in the turbulent mixing time that is extracted from the unsteady Reynolds-averaged Navier–Stokes simulations and leads to variations in the overall mixing process. The probability density function for the inflammation time accounts for the delay or advancement of the early flame development. The combination of unsteady Reynolds-averaged Navier–Stokes and spark-ignition stochastic reactor model enables one to predict cycle-to-cycle variations using detailed chemistry in a fraction of computational time needed for a single large eddy simulation cycle. Y1 - 2020 U6 - https://doi.org/10.1177/1468087419856493 SN - 2041-3149 SN - 1468-0874 VL - 21 IS - 4 SP - 649 EP - 663 ER - TY - GEN A1 - Franken, Tim A1 - Netzer, Corinna A1 - Mauß, Fabian A1 - Pasternak, Michal A1 - Seidel, Lars A1 - Borg, Anders A1 - Lehtiniemi, Harry A1 - Matrisciano, Andrea A1 - Kulzer, André Casal T1 - Multi-objective optimization of water injection in spark-ignition engines using the stochastic reactor model with tabulated chemistry T2 - International Journal of Engine Research N2 - Water injection is investigated for turbocharged spark-ignition engines to reduce knock probability and enable higher engine efficiency. The novel approach of this work is the development of a simulation-based optimization process combining the advantages of detailed chemistry, the stochastic reactor model and genetic optimization to assess water injection. The fast running quasi-dimensional stochastic reactor model with tabulated chemistry accounts for water effects on laminar flame speed and combustion chemistry. The stochastic reactor model is coupled with the Non-dominated Sorting Genetic Algorithm to find an optimum set of operating conditions for high engine efficiency. Subsequently, the feasibility of the simulation-based optimization process is tested for a three-dimensional computational fluid dynamic numerical test case. The newly proposed optimization method predicts a trade-off between fuel efficiency and low knock probability, which highlights the present target conflict for spark-ignition engine development. Overall, the optimization shows that water injection is beneficial to decrease fuel consumption and knock probability at the same time. The application of the fast running quasi-dimensional stochastic reactor model allows to run large optimization problems with low computational costs. The incorporation with the Non-dominated Sorting Genetic Algorithm shows a well performing multi-objective optimization and an optimized set of engine operating parameters with water injection and high compression ratio is found. KW - Water Injection KW - Genetic Optimization KW - Spark Ignition Engine KW - Stochastic Reactor Model KW - Detailed Chemistry Y1 - 2019 UR - https://journals.sagepub.com/doi/full/10.1177/1468087419857602 U6 - https://doi.org/10.1177/1468087419857602 SN - 2041-3149 VL - 20 IS - 10 SP - 1089 EP - 1100 ER -