@misc{PasternakMaussXavieretal., author = {Pasternak, Michal and Mauß, Fabian and Xavier, Fabio and Riess, Michael and Sens, Marc and Benz, Andreas}, title = {0D/3D Simulations of Combustion in Gasoline Engines Operated with Multiple Spark Plug Technology}, series = {SAE Technical Papers}, journal = {SAE Technical Papers}, number = {2015-01-1243}, issn = {0148-7191}, doi = {10.4271/2015-01-1243}, abstract = {A simulation method is presented for the analysis of combustion in spark ignition (SI) engines operated at elevated exhaust gas recirculation (EGR) level and employing multiple spark plug technology. The modeling is based on a zero-dimensional (0D) stochastic reactor model for SI engines (SI-SRM). The model is built on a probability density function (PDF) approach for turbulent reactive flows that enables for detailed chemistry consideration. Calculations were carried out for one, two, and three spark plugs. Capability of the SI-SRM to simulate engines with multiple spark plug (multiple ignitions) systems has been verified by comparison to the results from a three-dimensional (3D) computational fluid dynamics (CFD) model. Numerical simulations were carried for part load operating points with 12.5\%, 20\%, and 25\% of EGR. At high load, the engine was operated at knock limit with 0\%, and 20\% of EGR and different inlet valve closure timing. The quasi-3D treatment of combustion chamber geometry and the spherical flame propagation by the 0D SI-SRM enabled for estimating the impact of number of spark plugs on the combustion progress and the risk of knock occurrence. Application of three spark plugs shortened significantly the combustion process. When the engine was operated at knock limit and with 20\% EGR, combustion duration was similar to that of engine operation without EGR and with one spark plug. Overall, the results presented demonstrate that this method has the potential to support early stages of engine development with limited experimental data available.}, language = {en} } @misc{MatriscianoBorgPerlmanetal., author = {Matrisciano, Andrea and Borg, Anders and Perlman, Cathleen and Lehtiniemi, Harry and Pasternak, Michal and Mauß, Fabian}, title = {Soot Source Term Tabulation Strategy for Diesel Engine Simulations with SRM}, series = {SAE Technical Papers}, journal = {SAE Technical Papers}, number = {2015-24-2400}, issn = {0148-7191}, doi = {10.4271/2015-24-2400}, pages = {1 -- 15}, abstract = {In this work a soot source term tabulation strategy for soot predictions under Diesel engine conditions within the zero-dimensional Direct Injection Stochastic Reactor Model (DI-SRM) framework is presented. The DI-SRM accounts for detailed chemistry, in-homogeneities in the combustion chamber and turbulence-chemistry interactions. The existing implementation [1] was extended with a framework facilitating the use of tabulated soot source terms. The implementation allows now for using soot source terms provided by an online chemistry calculation, and for the use of a pre-calculated flamelet soot source term library. Diesel engine calculations were performed using the same detailed kinetic soot model in both configurations. The chemical mechanism for n-heptane used in this work is taken from Zeuch et al. [2] and consists of 121 species and 973 reactions including PAH and thermal NO chemistry. The engine case presented in [1] is used also for this work. The case is a single-injection part-load passenger car Diesel engine with 27 \% EGR fueled with regular Diesel fuel. The two different approaches are analyzed and a detailed comparison is presented for the different soot processes globally and in the mixture fraction space. The contribution of the work presented in this paper is that a method which allows for a direct comparison of soot source terms - calculated online or retrieved from a flamelet table - without any change in the simulation setup has been developed within the SRM framework. It is a unique tool for model development. Our analysis supports our previous conclusion [1] that flamelet soot source terms libraries can be used for multi-dimensional modeling of soot formation in Diesel engines.}, language = {en} } @inproceedings{SeidelKlauerPasternaketal., author = {Seidel, Lars and Klauer, Christian and Pasternak, Michal and Matrisciano, Andrea and Netzer, Corinna and Hilbig, Martin and Mauß, Fabian}, title = {Systematic Mechanism Reduction for Engine Applications}, series = {5th International Workshop on Model Reduction in Reacting Flows, L{\"u}bbenau, 2015}, booktitle = {5th International Workshop on Model Reduction in Reacting Flows, L{\"u}bbenau, 2015}, pages = {2}, abstract = {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.}, language = {en} } @inproceedings{PasternakMaussMatrisciano, author = {Pasternak, Michal and Mauß, Fabian and Matrisciano, Andrea}, title = {Diesel Engine Performance Mapping Using Stochastic Reactor Model}, series = {Proceedings of the 2nd Conference on Engine Processes, July 2-3, 2015, Berlin, Germany}, booktitle = {Proceedings of the 2nd Conference on Engine Processes, July 2-3, 2015, Berlin, Germany}, editor = {Sens, Marc and Baar, Roland}, publisher = {Tech. Univ., Universit{\"a}tsverlag}, address = {Berlin}, isbn = {978-3-7983-2768-9}, pages = {217 -- 232}, language = {en} } @misc{MatriscianoPasternakWangetal., author = {Matrisciano, Andrea and Pasternak, Michal and Wang, Xiaoxiao and Antoshkiv, Oleksiy and Mauß, Fabian and Berg, Peter}, title = {On the Performance of Biodiesel Blends - Experimental Data and Simulations Using a Stochastic Fuel Test Bench}, series = {SAE Technical Papers}, journal = {SAE Technical Papers}, number = {2014-01-1115}, issn = {0148-7191}, doi = {10.4271/2014-01-1115}, pages = {1 -- 8}, language = {en} } @inproceedings{MatriscianoBorgPerlmanetal., author = {Matrisciano, Andrea and Borg, Anders and Perlman, Cathleen and Pasternak, Michal and Seidel, Lars and Netzer, Corinna and Mauß, Fabian and Lehtiniemi, Harry}, title = {Simulation of DI-Diesel combustion using tabulated chemistry approach}, series = {1st Conference on Combustion Processes in Marine and Automotive Engines, 7th - 8th June 2016, Lund, Schweden}, booktitle = {1st Conference on Combustion Processes in Marine and Automotive Engines, 7th - 8th June 2016, Lund, Schweden}, pages = {44 -- 47}, language = {en} } @inproceedings{SeidelNetzerHilbigetal., author = {Seidel, Lars and Netzer, Corinna and Hilbig, Martin and Mauß, Fabian and Klauer, Christian and Pasternak, Michal and Matrisciano, Andrea}, title = {Systematic Reduction of Detailed Chemical Reaction Mechanisms for Engine Applications}, series = {ASME 2016 Internal Combustion Engine Division Fall Technical Conference Greenville, South Carolina, USA, October 9-12, 2016}, booktitle = {ASME 2016 Internal Combustion Engine Division Fall Technical Conference Greenville, South Carolina, USA, October 9-12, 2016}, publisher = {The American Society of Mechanical Engineers}, address = {New York, N.Y.}, isbn = {978-0-7918-5050-3}, pages = {12}, abstract = {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.}, language = {en} } @phdthesis{Pasternak, author = {Pasternak, Michal}, title = {Simulation of the Diesel Engine Combustion Process Using the Stochastic Reactor Model}, publisher = {Logos Verlag Berlin}, address = {Berlin}, isbn = {978-3-8325-4310-5}, pages = {VIII, 160}, language = {en} } @misc{NetzerSeidelPasternaketal., author = {Netzer, Corinna and Seidel, Lars and Pasternak, Michal and Klauer, Christian and Perlman, Cathleen and Ravet, Fr{\´e}d{\´e}ric and Mauß, Fabian}, title = {Engine Knock Prediction and Evaluation Based on Detonation Theory Using a Quasi-Dimensional Stochastic Reactor Mode}, series = {SAE technical paper}, journal = {SAE technical paper}, number = {2017-01-0538}, issn = {0096-5170}, doi = {10.4271/2017-01-0538}, pages = {11 Seiten}, language = {en} } @inproceedings{NetzerSeidelPasternaketal., author = {Netzer, Corinna and Seidel, Lars and Pasternak, Michal and Mauß, Fabian and Lehtiniemi, Harry and Perlman, Cathleen and Ravet, Fr{\´e}d{\´e}ric}, title = {3D CFD Engine Knock Predication and Evaluation Based on Detailed Chemistry and Detonation Theory}, series = {Motorische Verbrennung : aktuelle Probleme und moderne L{\"o}sungsans{\"a}tze, XIII. Tagung im Haus der Technik Ludwigsburg, 16.-17. M{\"a}rz 2017}, booktitle = {Motorische Verbrennung : aktuelle Probleme und moderne L{\"o}sungsans{\"a}tze, XIII. Tagung im Haus der Technik Ludwigsburg, 16.-17. M{\"a}rz 2017}, editor = {Leipertz, Alfred and Fr{\"o}ba, Andreas Paul}, publisher = {ESYTEC Energie- und Systemtechnik GmbH}, address = {Erlangen}, isbn = {978-3-945806-08-1}, language = {en} }