TY - GEN A1 - Matrisciano, Andrea A1 - Borg, Anders A1 - Perlman, Cathleen A1 - Lehtiniemi, Harry A1 - Pasternak, Michal A1 - Mauß, Fabian T1 - Soot Source Term Tabulation Strategy for Diesel Engine Simulations with SRM T2 - SAE Technical Papers N2 - 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. KW - Diesel Engine, Stochastic Reactor Modeling, Particlulate Matter Y1 - 2015 U6 - https://doi.org/10.4271/2015-24-2400 SN - 0148-7191 SN - 0096-5170 IS - 2015-24-2400 SP - 1 EP - 15 ER - TY - CHAP A1 - Matrisciano, Andrea A1 - Seidel, Lars A1 - Klauer, Christian A1 - Lehtiniemi, Harry A1 - Mauß, Fabian T1 - An a priori thermodynamic data analysis based chemical lumping method for the reduction of large and multi-component chemical kinetic mechanisms T2 - 5th International Workshop on Model Reduction in Reacting Flows, Lübbenau, 2015 N2 - A chemical species lumping approach for reduction of large hydrocarbons and oxygenated fuels is presented. The methodology is based on an a priori analysis of the Gibbs free energy of the isomer species which is then used as main criteria for the evaluation of lumped group. Isomers with similar Gibbs free energy are lumped assuming they present equal concentrations when applied to standard reactor conditions. Unlike several lumping approaches found in literature, no calculation results from the primary mechanism have been employed prior to the application of our chemical lumping strategy. 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 - 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 - Seidel, Lars A1 - Klauer, Christian A1 - Mauß, Fabian A1 - Lehtiniemi, Harry T1 - An a priori thermodynamic data analysis based on chemical lumping method for the reduction of large and multi-component chemical kinetic mechanisms T2 - 5th Annual Internation Workshop on Model Reduction in Reaction Flows (IWMRRF) Lübbenau, 28.06-01.07.2015, proceedings Y1 - 2015 ER - TY - CHAP A1 - Pasternak, Michal A1 - Mauß, Fabian A1 - Matrisciano, Andrea ED - Sens, Marc ED - Baar, Roland T1 - Diesel Engine Performance Mapping Using Stochastic Reactor Model T2 - Proceedings of the 2nd Conference on Engine Processes, July 2–3, 2015, Berlin, Germany KW - Diesel Engine Performance Mapping Y1 - 2015 SN - 978-3-7983-2768-9 SP - 217 EP - 232 PB - Tech. Univ., Universitätsverlag CY - Berlin ER - TY - GEN A1 - Matrisciano, Andrea A1 - Pasternak, Michal A1 - Wang, Xiaoxiao A1 - Antoshkiv, Oleksiy A1 - Mauß, Fabian A1 - Berg, Peter T1 - On the Performance of Biodiesel Blends – Experimental Data and Simulations Using a Stochastic Fuel Test Bench T2 - SAE Technical Papers Y1 - 2014 U6 - https://doi.org/10.4271/2014-01-1115 SN - 0148-7191 SN - 0096-5170 IS - 2014-01-1115 SP - 1 EP - 8 ER - TY - CHAP A1 - Mauß, Fabian A1 - Matrisciano, Andrea T1 - SRM in Engines: Performance and Emissions T2 - 3rd International Combustion Institute Summer School, June 19-23, Chania, Greece KW - Stochastic Reactor Models Y1 - 2016 UR - http://iciss2016.gr/site/wp-content/uploads/2016/05/ICISS_Mauss-Matrisciano_Abstract_Tutorial.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 - Matrisciano, Andrea A1 - Franken, Tim A1 - Perlman, Cathleen A1 - Borg, Anders A1 - Lehtiniemi, Harry A1 - Mauß, Fabian T1 - Development of a Computationally Efficient Progress Variable Approach for a Direct Injection Stochastic Reactor Model T2 - SAE technical papers KW - Development of a Computationally Efficient Progress Y1 - 2017 U6 - https://doi.org/10.4271/2017-01-0512 SN - 0148-7191 SN - 0096-5170 IS - 2017-01-0512 SP - 18 Seiten ER - TY - GEN A1 - Franken, Tim A1 - Sommerhoff, Arnd A1 - Willems, Werner A1 - Matrisciano, Andrea A1 - Lehtiniemi, Harry A1 - Borg, Anders A1 - Netzer, Corinna A1 - Mauß, Fabian T1 - Advanced Predictive Diesel Combustion Simulation Using Turbulence Model and Stochastic Reactor Model T2 - SAE technical paper KW - Advanced Predictive Y1 - 2017 UR - http://papers.sae.org/2017-01-0516 U6 - https://doi.org/10.4271/2017-01-0516 SN - 0148-7191 SN - 0096-5170 N1 - WCX™ 17: SAE World Congress Experience ER - TY - GEN A1 - Pasternak, Michal A1 - Mauß, Fabian A1 - Klauer, Christian A1 - Matrisciano, Andrea T1 - Diesel engine performance mapping using a parametrized mixing time model T2 - International Journal of Engine Research KW - Diesel engine performance Y1 - 2018 U6 - https://doi.org/10.1177/1468087417718115 SN - 2041-3149 SN - 1468-0874 VL - 19 IS - 2 SP - 202 EP - 213 ER -