TY - GEN A1 - Mauß, Fabian A1 - Nakov, Galin A1 - Wenzel, Paul A1 - Steiner, Rüdiger A1 - Krüger, Christian A1 - Zhang, Yongzeh A1 - Rawat, Rajesh A1 - Borg, Andreas A1 - Perlman, Cathleen A1 - Fröjd, Karin A1 - Lehtiniemi, Harry T1 - Soot Simulation under Diesel Engine Conditions Using a Flamelet Approach T2 - SAE International Journal of Engines Y1 - 2010 SN - 1946-3936 VL - 2 IS - 2 SP - 89 EP - 104 ER - TY - CHAP A1 - Mauß, Fabian A1 - Lehtiniemi, Harry A1 - Zhang, Y. A1 - Rawat, Rajesh T1 - "Efficient 3-D CFD Combustion Modeling with Transient Flamelet Models" Y1 - 2008 ER - TY - CHAP A1 - Mauß, Fabian A1 - Ebenezer, N. A1 - Lehtiniemi, Harry T1 - Adaptive Polynomial Tabulation (APT): A computationally economical strategy for the HCCI engine simulation of complex fuel Y1 - 2010 ER - TY - CHAP A1 - Lehtiniemi, Harry A1 - Mauß, Fabian A1 - Balthasar, M. A1 - Magnusson, I. T1 - Diesel Spray Ignition using a Progress Variable Approach T2 - Book of abstracts, Fifth Symposium Towards Clean Diesel Engines, 2 - 3 June 2005, Lund, Sweden Y1 - 2005 PB - Univ., Lund Institute of Technology CY - Lund ER - TY - CHAP A1 - Gogan, Adina A1 - Lehtiniemi, Harry A1 - Mauß, Fabian A1 - Sunden, Bengt T1 - Stochastic Reactor Model for Auto-Ignition Calculation in Spark Ignition Engines T2 - Proceedings of the European Combustion Meeting, Louvain-la-Neuve, Belgium, April 3 - 6, 2005 Y1 - 2005 N1 - CD-ROM CY - Louvain-la-Neuve ER - TY - CHAP A1 - Lehtiniemi, Harry A1 - Borg, Andreas A1 - Mauß, Fabian ED - Leipertz, Alfred T1 - Konditionierte Momenten-Schließung mit einem Fortschritts-Variablen-Ansatz T2 - Motorische Verbrennung, aktuelle Probleme und moderne Lösungsansätze XI. Tagung im Haus der Technik e.V., Ludwigsburg, 14./15. März 2013 Y1 - 2013 SN - 978-3-931901-87-5 SP - 347 EP - 358 PB - ESYTEC Energie- u. Systemtechnik CY - Erlangen ER - TY - CHAP A1 - Lehtiniemi, Harry A1 - Borg, Andreas A1 - Mauß, Fabian T1 - Conditional Moment Closure with a Progress Variable Approach T2 - Engine processes Y1 - 2013 SN - 978-3-8169-3222-2 SP - 100 EP - 111 PB - Expert Verlag CY - Renningen ER - TY - CHAP A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Lehtiniemi, Harry A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Impact of gasoline surrogates with different fuel sensitivity (RON-MON) on knock prediction T2 - Proceedings of the 6th European Conference on Computational Mechanics (Solids, Structures and Coupled Problems) ECCM 6 and 7th European Conference on Computational Fluid Dynamics ECFD 7, Glasgow, Scotland, UK June 11 – 15, 2018 KW - Impact of gasoline surrogates Y1 - 2018 UR - http://www.eccm-ecfd2018.org/frontal/docs/Ebook-Glasgow-2018-ECCM-VI-ECFD-VII.pdf SP - 906 EP - 917 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 - CHAP A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Lehtiniemi, Harry A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Impact of Formulation of Fuel Surrogates on Engine Knock Prediction T2 - International Multidimensional Engine Modeling User's Group Meeting at the SAE Congress, April 9th , 2018, Detroit, USA KW - Impact of Formulation of Fuel Surrogates Y1 - 2018 UR - http://www.erc.wisc.edu/imem/2018/Paper%234-Netzer%20et%20al.pdf ER - TY - GEN A1 - Franken, Tim A1 - Duggan, Alexander A1 - Tao, Feng A1 - Matrisciano, Andrea A1 - Lehtiniemi, Harry A1 - Borg, Anders A1 - Mauß, Fabian T1 - Multi-Objective Optimization of Fuel Consumption and NOx Emissions of a heavy-duty Diesel engine using a Stochastic Reactor Model T2 - SAE technical paper N2 - 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 … KW - Highly fuel-efficient Diesel engines Y1 - 2019 SN - 0096-5170 SN - 0148-7191 IS - 2019-01-1173 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 - TY - GEN A1 - Netzer, Corinna A1 - Franken, Tim A1 - Lehtiniemi, Harry A1 - Mauß, Fabian A1 - Seidel, Lars T1 - Numerical Analysis of the Impact of Water Injection on Combustion and Thermodynamics in a Gasoline Engine using Detailed Chemistry T2 - SAE technical papers Y1 - 2018 U6 - https://doi.org/10.4271/2018-01-0200 SN - 0148-7191 SN - 0096-5170 IS - 2018-01-0200 ER - TY - GEN A1 - Franken, Tim A1 - Duggan, Alexander A1 - Feng, Tao A1 - Borg, Anders A1 - Lehtiniemi, Harry A1 - Matrisciano, Andrea A1 - Mauß, Fabian T1 - 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 KW - Multi-Objective Optimization Y1 - 2018 UR - https://www.researchgate.net/publication/328265385 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 - Werner, Adina A1 - Netzer, Corinna A1 - Lehtiniemi, Harry A1 - Borg, Anders A1 - Matrisciano, Andrea A1 - Seidel, Lars A1 - Mauß, Fabian T1 - A Computationally Efficient Combustion Progress Variable (CPV) Approach for Engine Applications KW - (CPV) Approach for Engine Applications Y1 - 2018 U6 - https://doi.org/10.13140/RG.2.2.15334.27209 ER - TY - GEN A1 - Werner, Adina A1 - Matrisciano, Andrea A1 - Netzer, Corinna A1 - Lehtiniemi, Harry A1 - Borg, Anders A1 - Seidel, Lars A1 - Mauß, Fabian T1 - Further Application of the Fast Tabulated CPV Approach Y1 - 2018 UR - https://www.researchgate.net/publication/330737537 U6 - https://doi.org/10.13140/RG.2.2.18689.71529 N1 - 1st International Conference on Smart Energy Carriers ER - TY - GEN A1 - Nagy, Imre Gergely A1 - Matrisciano, Andrea A1 - Lehtiniemi, Harry A1 - Mauß, Fabian A1 - Schmid, Andreas T1 - Influence of nozzle eccentricity on spray structures in marine diesel sprays T2 - SAE technical papers N2 - 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 … KW - Marine Diesel KW - Spray Y1 - 2017 SN - 0148-7191 SN - 0096-5170 N1 - Event: 13th International Conference on Engines & Vehicles IS - 2017-24-0031 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 - 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 - 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 - CHAP A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Lehtiniemi, Harry A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Efficient tracking of knock onset for a wide range of fuel surrogates T2 - International Multidimensional Engine Modeling User's Group Meeting at the SAE Congress KW - Efficient tracking of knock Y1 - 2017 UR - https://www.researchgate.net/publication/319137036 ER - TY - GEN A1 - Svensson, Erik A1 - Li, Changle A1 - Shamun, Sam A1 - Johansson, Bengt A1 - Tuner, Martin A1 - Perlman, Cathleen A1 - Lehtiniemi, Harry A1 - Mauß, Fabian T1 - Potential Levels of Soot, NOx , HC and CO for Methanol Combustion T2 - SAE Technical Papers N2 - Methanol is today considered a viable green fuel for combustion engines because of its low soot emissions and the possibility of it being produced in a CO2-neutral manner. Methanol as a fuel for combustion engines have attracted interest throughout history and much research was conducted during the oil crisis in the seventies. In the beginning of the eighties the oil prices began to decrease and interest in methanol declined. This paper presents the emission potential of methanol. T-Φ maps were constructed using a 0-D reactor with constant pressure, temperature and equivalence ratio to show the emission characteristics of methanol. These maps were compared with equivalent maps for diesel fuel. The maps were then complemented with engine simulations using a stochastic reactor model (SRM), which predicts end-gas emissions. The SRM was validated using experimental results from a truck engine running in Partially Premixed Combustion (PPC) mode at medium loads. The SRM was able to predict the combustion in terms of pressure trace and rate of heat release. The CO and NOx emissions were matched, however, the HC emissions were underestimated. Finally, the trajectories from the SRM simulations were superimposed on the T-Φ maps to investigate the in engine conditions. The T-Φ map analysis shows that emission of soot are non-existent, formaldehyde can be avoided and that emissions of methane are kept at, compared to diesel combustion, low levels, however CO and NOx levels are similar to diesel combustion. These results were confirmed for engine conditions by the SRM simulations and the engine experiments. KW - Potential Levels of Soot KW - Methanol Combustion Y1 - 2016 U6 - https://doi.org/10.4271/2016-01-0887 SN - 0148-7191 SN - 0096-5170 IS - 2016-01-0887 SP - 17 Seiten ER - TY - GEN A1 - Lehtiniemi, Harry A1 - Borg, Anders A1 - Mauß, Fabian T1 - Combustion Modeling of Diesel Sprays T2 - SAE Technical Papers N2 - Several models for ignition, combustion and emission formation under diesel engine conditions for multi-dimensional computational fluid dynamics have been proposed in the past. It has been recognized that the use of a reasonably detailed chemistry model improves the combustion and emission prediction especially under low temperature and high exhaust gas recirculation conditions.The coupling of the combustion chemistry and the turbulent flow can be achieved with different assumptions. In this paper we investigate a selection of n-heptane spray experiments published by the Engine Combustion Network (ECN spray H) with three different combustion models: well-stirred reactor model, transient interactive flamelet model and progress variable based conditional moment closure. All models cater for the use of detailed chemistry, while the turbulence-chemistry interaction modeling and the ability to consider local effects differ.The same chemical mechanism is used by all combustion models, which allows a comparison of ignition delay, flame stabilization and flame lift-off length between the experiments and the results from simulations using the different combustion models. The investigated parameters influence the predictions of computational fluid dynamics simulations of diesel engines. This study indicates that the most reasonable behavior with respect to ignition, flame stabilization and flame structure is predicted by the progress variable based conditional moment closure model. KW - Modeling of Diesel Sprays Y1 - 2016 U6 - https://doi.org/10.4271/2016-01-0592 SN - 0148-7191 SN - 0096-5170 IS - 2016-01-0592 SP - 1 EP - 11 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 - 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 - 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 - Lehtiniemi, Harry A1 - Borg, Andreas A1 - Mauß, Fabian ED - Sens, Marc ED - Baar, Roland T1 - Modeling of Spray Combustion under Diesel Engine Conditions T2 - Proceedings of the 2nd Conference on Engine Processes, July 2–3, 2015, Berlin, Germany KW - Modeling of Spray Combustion Y1 - 2015 SN - 978-3-7983-2768-9 SP - 217 EP - 249 PB - Universitätsverlag der TU Berlin CY - Berlin ER - TY - CHAP A1 - Lehtiniemi, Harry A1 - Borg, Andreas A1 - Mauß, Fabian T1 - Conditional Moment Closure with a Progress Variable Approach T2 - COMODIA 2012, proceedings of the Eighth International Conference on Modeling and Diagnostics for Advanced Engine Systems, July 23 - 26, 2012, Fukuoka, Japan Y1 - 2014 SP - 548 EP - 553 PB - JSME CY - Tokyo ER - TY - GEN A1 - Pasternak, Michal A1 - Nakov, Galin A1 - Mauß, Fabian A1 - Lehtiniemi, Harry T1 - Aspects of 0D and 3D Modeling of Soot Formation for Diesel Engines T2 - Combustion Science and Technology Y1 - 2014 U6 - https://doi.org/10.1080/00102202.2014.935213 SN - 1563-521X SN - 0010-2202 VL - 186 IS - 10-11 SP - 1517 EP - 1535 ER - TY - JOUR A1 - Mauß, Fabian A1 - Lehtiniemi, Harry A1 - Balthasar, M. A1 - Magnusson, I. T1 - Modelling Diesel Spray Ignition Using Detailed Chemistry with a Flamelet Progress Variable Approach Y1 - 2006 ER - TY - CHAP A1 - Mauß, Fabian A1 - Blurock, Edward S. A1 - Lehtiniemi, Harry A1 - Gogan, Adina T1 - "Speed-up of a stochastic reactor model for a hydrogen fueled SI-engine by PRISM" Y1 - 2005 ER - TY - CHAP A1 - Mauß, Fabian A1 - Ahmedi, Abdelhadi A1 - Sundén, Bengt A1 - Gogan, Adina A1 - Lehtiniemi, Harry T1 - "Analysis of an Extended Ionization Equilibrium in the Post-flame Gases for Spark Ignited Combustion" Y1 - 2005 U6 - https://doi.org/10.1115/ICEF2004-0922 ER - TY - CHAP A1 - Mauß, Fabian A1 - Lehtiniemi, Harry A1 - Amnéus, Per A1 - Balthasar, M. A1 - Karlsson, A. A1 - Magnusson, I. A1 - Gogan, Adina A1 - Sundén, Bengt T1 - Modelling Diesel Spray Ignition Using Detailed Chemistry with a Flamelet Progress Variable Approach Y1 - 2005 ER - TY - CHAP A1 - Mauß, Fabian A1 - Moréac, Gladys A1 - Blurock, Edward S. A1 - Gogan, Adina A1 - Sundén, Bengt A1 - Lehtiniemi, Harry T1 - Automatic Generation of a Detailed Mechanism for the Oxidation of n-Decane Y1 - 2005 ER - TY - CHAP A1 - Mauß, Fabian A1 - Lehtiniemi, Harry A1 - Balthasar, M. A1 - Magnusson, I. T1 - Modeling Diesel Engine Combustion with Detailed Chemistry using a Progress Variable Approach T2 - Powertrain & Fluid Systems conference and exhibition, San Antonio, Texas USA, October 24 - 27, 2005 Y1 - 2005 PB - SAE International CY - Warrendale, Pa. ER - TY - CHAP A1 - Mauß, Fabian A1 - Gogan, Adina A1 - Sundén, Bengt A1 - Lehtiniemi, Harry T1 - "Stochastic Model for the Investigation of the Influence of Turbulent Mixing on Engine Knock" Y1 - 2004 ER - TY - JOUR A1 - Mauß, Fabian A1 - Netzell, Karl A1 - Lehtiniemi, Harry T1 - "Calculating the Soot Particle Size Distribution Function in Turbulent Diffusion Flames using a Sectional Method" Y1 - 2006 ER - TY - CHAP A1 - Mauß, Fabian A1 - Lehtiniemi, Harry A1 - Netzell, Karl T1 - Calculating soot in a turbulent jet diffision flame using the unsteady flamelet model T2 - Proceedings of the European Combustion Meeting, Louvain-la-Neuve, Belgium, April 3 - 6, 2005 Y1 - 2005 N1 - CD-ROM PB - Combustion Inst. CY - Louvain-la-Neuve ER - TY - CHAP A1 - Mauß, Fabian A1 - Netzell, Karl A1 - Lehtiniemi, Harry A1 - Gogan, Adina A1 - Sundén, Bengt T1 - Aspects of Modeling Soot Formation in Turbulent Diffusion Flames Y1 - 2005 ER - TY - GEN A1 - Wenzel, Paul A1 - Gezgin, A. A1 - Steiner, Rüdiger A1 - Krüger, Christian A1 - Netzell, Karl A1 - Lehtiniemi, Harry A1 - Mauß, Fabian T1 - Modeling of the soot particle size distribution in diesel engines T2 - Conference proceedings, Conference on Thermo- and Fluid Dynamic Processes in Diesel Engines, September 12th - 15th 2006, Valencia, Spain Y1 - 2006 SN - 84-9705-982-4 SP - 397 EP - 410 PB - Univ. Politécnica CY - Valencia ER - TY - CHAP A1 - Samuelsson, K. A1 - Gogan, Adina A1 - Netzell, Karl A1 - Lehtiniemi, Harry A1 - Sundén, Bengt A1 - Mauß, Fabian T1 - Modeling Diesel Engine Combustion and Pollutant Formation using a Stochastic Reactor Model Approach T2 - Book of abstracts, Fifth Symposium Towards Clean Diesel Engines, 2 - 3 June 2005, Lund, Sweden Y1 - 2005 PB - Univ., Lund Institute of Technology CY - Lund ER - TY - JOUR A1 - Mauß, Fabian A1 - Netzell, Karl A1 - Lehtiniemi, Harry T1 - "Aspects of Modeling Soot Formation in Turbulent Diffusion Flames" Y1 - 2006 ER - TY - GEN A1 - Franken, Tim A1 - Duggan, Alexander A1 - Matrisciano, Andrea A1 - Lehtiniemi, Harry A1 - Borg, Anders A1 - Mauß, Fabian T1 - Multi-Objective Optimization of Fuel Consumption and NO x Emissions with Reliability Analysis Using a Stochastic Reactor Model T2 - SAE Technical Paper N2 - The introduction of a physics-based zero-dimensional stochastic reactor model combined with tabulated chemistry enables the simulation-supported development of future compression-ignited 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 the simulation-based multi-objective optimization, genetic algorithms are proven to be an effective tool. Based on an initial set of designs, the algorithm aims to evolve the designs to find the best parameters for the given constraints and objectives. The extension by response surface models improves the prediction of the best possible Pareto Front, while the time of optimization is kept low. This work presents a novel methodology to couple the stochastic reactor model and the Non-dominated Sorting Genetic Algorithm. First, the stochastic reactor model is calibrated for 10 low, medium and high load operating points at various engine speeds. Second, each operating point is optimized to find the lowest fuel consumption and specific NOx emissions. The optimization input parameters are the temperature at intake valve closure, the compression ratio, the start of injection, the injection pressure and exhaust gas recirculation rate. Additionally, it is ensured that the maximum peak cylinder pressure and turbine inlet temperature are not exceeded. This enables a safe operation of the engine and exhaust aftertreatment system under the optimized conditions. Subsequently, a reliability analysis is performed to estimate the effect of off-nominal conditions on the objectives and constraints. The novel multi-objective optimization methodology has proven to deliver reasonable results. The zero-dimensional stochastic reactor model with tabulated chemistry is a fast running physics-based model that allow to run large optimization problems in a short amount of time. The combination with the reliability analysis also strengthens the confidence in the simulation-based optimized engine operation parameters. Y1 - 2019 U6 - https://doi.org/10.4271/2019-01-1173 SN - 0148-7191 SN - 2688-3627 ER -