@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{MatriscianoSeidelKlaueretal., author = {Matrisciano, Andrea and Seidel, Lars and Klauer, Christian and Lehtiniemi, Harry and Mauß, Fabian}, title = {An a priori thermodynamic data analysis based chemical lumping method for the reduction of large and multi-component chemical kinetic mechanisms}, 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 = {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.}, 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{MatriscianoSeidelKlaueretal., author = {Matrisciano, Andrea and Seidel, Lars and Klauer, Christian and Mauß, Fabian and Lehtiniemi, Harry}, title = {An a priori thermodynamic data analysis based on chemical lumping method for the reduction of large and multi-component chemical kinetic mechanisms}, series = {5th Annual Internation Workshop on Model Reduction in Reaction Flows (IWMRRF) L{\"u}bbenau, 28.06-01.07.2015, proceedings}, booktitle = {5th Annual Internation Workshop on Model Reduction in Reaction Flows (IWMRRF) L{\"u}bbenau, 28.06-01.07.2015, proceedings}, pages = {2}, 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{MaussMatrisciano, author = {Mauß, Fabian and Matrisciano, Andrea}, title = {SRM in Engines: Performance and Emissions}, series = {3rd International Combustion Institute Summer School, June 19-23, Chania, Greece}, booktitle = {3rd International Combustion Institute Summer School, June 19-23, Chania, Greece}, 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} } @misc{MatriscianoFrankenPerlmanetal., author = {Matrisciano, Andrea and Franken, Tim and Perlman, Cathleen and Borg, Anders and Lehtiniemi, Harry and Mauß, Fabian}, title = {Development of a Computationally Efficient Progress Variable Approach for a Direct Injection Stochastic Reactor Model}, series = {SAE technical papers}, journal = {SAE technical papers}, number = {2017-01-0512}, issn = {0148-7191}, doi = {10.4271/2017-01-0512}, pages = {18 Seiten}, language = {en} } @misc{FrankenSommerhoffWillemsetal., author = {Franken, Tim and Sommerhoff, Arnd and Willems, Werner and Matrisciano, Andrea and Lehtiniemi, Harry and Borg, Anders and Netzer, Corinna and Mauß, Fabian}, title = {Advanced Predictive Diesel Combustion Simulation Using Turbulence Model and Stochastic Reactor Model}, series = {SAE technical paper}, journal = {SAE technical paper}, issn = {0148-7191}, doi = {10.4271/2017-01-0516}, language = {en} } @misc{PasternakMaussKlaueretal., author = {Pasternak, Michal and Mauß, Fabian and Klauer, Christian and Matrisciano, Andrea}, title = {Diesel engine performance mapping using a parametrized mixing time model}, series = {International Journal of Engine Research}, volume = {19}, journal = {International Journal of Engine Research}, number = {2}, issn = {2041-3149}, doi = {10.1177/1468087417718115}, pages = {202 -- 213}, language = {en} } @misc{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 = {Journal of Engineering for Gas Turbines and Power}, volume = {139}, journal = {Journal of Engineering for Gas Turbines and Power}, number = {9}, issn = {1528-8919}, doi = {10.1115/1.4036093}, pages = {091701-1 -- 091701-9}, 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 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.}, language = {en} } @misc{NagyMatriscianoLehtiniemietal., author = {Nagy, Imre Gergely and Matrisciano, Andrea and Lehtiniemi, Harry and Mauß, Fabian and Schmid, Andreas}, title = {Influence of nozzle eccentricity on spray structures in marine diesel sprays}, series = {SAE technical papers}, journal = {SAE technical papers}, number = {2017-24-0031}, issn = {0148-7191}, pages = {13}, abstract = {Abstract: Large two-stroke marine Diesel engines have special injector geometries, which differ substantially from the configurations used in most other Diesel engine applications. One of the major differences is that injector orifices are distributed in a highly non-symmetric fashion affecting the spray characteristics. Earlier investigations demonstrated the dependency of the spray morphology on the location of the spray orifice and therefore on the resulting flow conditions at the nozzle tip. Thus, spray structure is directly influenced by the flow formation within the orifice. Following recent Large Eddy Simulation resolved spray primary breakup studies, the present paper focuses on spray secondary breakup odelling of asymmetric spray structures in Euler-Lagrangian framework based on previously obtained droplet distributions of primary breakup. Firstly, the derived droplet distributions were …}, language = {en} } @misc{FrankenDugganFengetal., author = {Franken, Tim and Duggan, Alexander and Feng, Tao and Borg, Anders and Lehtiniemi, Harry and Matrisciano, Andrea and Mauß, Fabian}, title = {Multi-Objective Optimization of Fuel Consumption and NOx Emissions using a Stochastic Reactor Model, THIESEL 2018 Conference on Thermo- and Fluid Dynamic Processes in Direct Injection Engines}, language = {en} } @inproceedings{FrankenNetzerPasternaketal., author = {Franken, Tim and Netzer, Corinna and Pasternak, Michal and Mauß, Fabian and Seidel, Lars and Matrisciano, Andrea and Borg, Anders and Lehtiniemi, Harry and Kulzer, Andr{\´e} Casal}, title = {Assessment of Water Injection in a SI Engine using a Fast Running Detailed Chemistry Based Combustion Model}, series = {Symposium of Combustion Control 2018, Aachen}, booktitle = {Symposium of Combustion Control 2018, Aachen}, address = {Aachen}, pages = {10}, language = {en} } @misc{FrankenNetzerPasternaketal., author = {Franken, Tim and Netzer, Corinna and Pasternak, Michal and Mauß, Fabian and Seidel, Lars and Matrisciano, Andrea and Borg, Anders and Lehtiniemi, Harry and Kulzer, Andr{\´e} Casal}, title = {Simulation of Spark-Ignited Engines with Water Injection using the Stochastic Reactor Model, 37th International Symposium on Combustion}, language = {en} } @misc{FrankenDugganTaoetal., author = {Franken, Tim and Duggan, Alexander and Tao, Feng and Matrisciano, Andrea and Lehtiniemi, Harry and Borg, Anders and Mauß, Fabian}, title = {Multi-Objective Optimization of Fuel Consumption and NOx Emissions of a heavy-duty Diesel engine using a Stochastic Reactor Model}, series = {SAE technical paper}, journal = {SAE technical paper}, number = {2019-01-1173}, issn = {0096-5170}, abstract = {Highly fuel-efficient Diesel engines, combined with effective exhaust aftertreatment systems, enable an economic and low-emission operation of heavy-duty vehicles. The challenge of its development arises from the present engine complexity, which is expected to increase even more in the future. The approved method of test bench measurements is stretched to its limits, because of the high demand for large parameter variations. The introduction of a physics-based quasi-dimensional stochastic reactor model combined with tabulated chemistry enables the simulation-supported development of these Diesel engines. The stochastic reactor model mimics mixture and temperature inhomogeneities induced by turbulence, direct injection and heat transfer. Thus, it is possible to improve the prediction of NOx emissions compared to common mean-value models. To reduce the number of designs to be evaluated during …}, language = {en} } @misc{FrankenKlauerKienbergetal., author = {Franken, Tim and Klauer, Christian and Kienberg, Martin and Matrisciano, Andrea and Mauß, Fabian}, title = {Prediction of thermal stratification in an engine-like geometry using a zero-dimensional stochastic reactor model}, series = {International Journal of Engine Research}, journal = {International Journal of Engine Research}, isbn = {2041-3149}, issn = {1468-0874}, doi = {10.1177/1468087418824217}, pages = {14}, language = {en} } @misc{WernerMatriscianoNetzeretal., author = {Werner, Adina and Matrisciano, Andrea and Netzer, Corinna and Lehtiniemi, Harry and Borg, Anders and Seidel, Lars and Mauß, Fabian}, title = {Further Application of the Fast Tabulated CPV Approach}, doi = {10.13140/RG.2.2.18689.71529}, language = {en} } @misc{WernerNetzerLehtiniemietal., author = {Werner, Adina and Netzer, Corinna and Lehtiniemi, Harry and Borg, Anders and Matrisciano, Andrea and Seidel, Lars and Mauß, Fabian}, title = {A Computationally Efficient Combustion Progress Variable (CPV) Approach for Engine Applications}, doi = {10.13140/RG.2.2.15334.27209}, language = {en} } @misc{FrankenNetzerMaussetal., author = {Franken, Tim and Netzer, Corinna and Mauß, Fabian and Pasternak, Michal and Seidel, Lars and Borg, Anders and Lehtiniemi, Harry and Matrisciano, Andrea and Kulzer, Andr{\´e} Casal}, title = {Multi-objective optimization of water injection in spark-ignition engines using the stochastic reactor model with tabulated chemistry}, series = {International Journal of Engine Research}, volume = {20}, journal = {International Journal of Engine Research}, number = {10}, issn = {2041-3149}, doi = {10.1177/1468087419857602}, pages = {1089 -- 1100}, abstract = {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.}, language = {en} }