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Phase Optimized Skeletal Mechanisms in a Stochastic Reactor Model for Engine Simulation
Technical Paper
2005-01-3813
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
By dividing the combustion process into several phases with phase optimized skeletal mechanisms (POSM), gains in calculation speed were realized with virtually no loss in accuracy.
A skeletal mechanism is a reduced mechanism where only the significant species, determined through a set of parameters (one for each species), remain with respect to a detailed mechanism. The parameter is based on a combination of sensitivity and flow analysis. Within the POSM method machine learning algorithms are used to automatically determine and recognize the major phases. Reduction is achieved by keeping only the significant species with respect to each phase. Each phase has a different mechanism, derived from the original and each is smaller than the original.
This novel approach was implemented into a two-zone zero-dimensional stochastic reactor model (SRM) for an SI-Engine with a 125 species heptane-toluene mechanism and showed that calculation speed was increased by a factor 3 with almost no loss in accuracy.
Further time savings and accuracy improvements from these preliminary results are expected from further reduction of the phase mechanisms
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Citation
Tuner, M., Blurock, E., and Mauss, F., "Phase Optimized Skeletal Mechanisms in a Stochastic Reactor Model for Engine Simulation," SAE Technical Paper 2005-01-3813, 2005, https://doi.org/10.4271/2005-01-3813.Also In
References
- Low-temperature combustion and autoignition Pilling, M.J. Comprehensive chemical kinetics 35 Elsevier Netherlands 1997
- Soyan, H Mauss, F. Sorusbay, C. “Chemical Kinetic Modelling of Combustion in Internal Combustion Engines using Reduced Chemistry” Combust. Sci. Technol. 2002 174 73 91
- Blurock, E. S. Automatic Characterization of Ignition Processes with Machine Learning Clustering Techniques” International Journal of Chemical Kinetics
- Blurock, E. S. “Characterizing Complex Reaction Mechanisms using Machine Learning Clustering Techniques” International Journal of Chemical Kinetics 2004 36 107 118
- Gogan, A. Lehtiniemi, H. Sundén, B. Mauss, F. “Stochastic Model for the Investigation of the Effect of Turbulent Mixing on Engine Knock” SAE 2004-01-2999
- Kraft, M. Stochastic Modelling of Turbulent Reacting Flow in Chemical Engineering 1998 Reihe 6 391 1 109 VDI Verlag, Fortschrittsberichte des VDI
- Maigaard, P. Mauss, F. Kraft, M. 2003 Homogeneous Charge Compression Ignition Engines: A Simulation Study on the Effect of Inhomogeneities ASME J. Engineering for Gas Turbines and Power 125 466 471
- Kraft M. Maigaard P. Mauss F. Christensen M. Johansson B. 2000 Investigation of Combustion Emissions in a Homogeneous Charge Compression Ignition Engine: Measurements and a New Computational Model Proc. Combust. Inst. 28 1195 1201
- Bhave, A. Balthasar, M. Kraft, M. Mauss, F. 2004 “Analysis of a Natural Gas Fuelled HCCI Engine with Exhaust Gas Recirculation Using a Stochastic Reactor Model” International Journal of Engine Research, SAE Int. J. Engine Research 5 1 93 104
- Montorsi, L. Mauss, F. Bianchi, G. M. Bhave, A. Kraft, M. 2003 Analysis of the HCCI Combustion of a Turbocharged Truck Engine Using a Stochastic Reactor Model ASME ICE Division
- Bhave, A. Kraft, M. Montorsi, L. Mauss, F. “Modelling a Dual-fuelled Multi-cylinder HCCI Engine Using a PDF based Engine Cycle Simulator SAE 2004-01-0561
- Vibe, R. R. “Brennverlauf und Kreiprozess von Verbrennungsmotoren” VEB-Verlag Technik Berlin 1970
- Tabaczynski, R. 1976 “Turbulence and Turbulent Combustion in Spark-Ignition Engines” Prog. Energy Combust. Sci. 2 143 165
- Pope, S. B. PDF Methods for Turbulent Reactive Flows 1985 Prog. Energy. Combust. Sci. 11 119 192
- Heywood, J. B. 1988 “Internal Combustion Engine Fundamentals” McGraw Hill New York
- Emdee J.J. Brezinsky K. Glassman I. J. Phys. Chem 96 1992 2151 2161
- Ahmed, S. S. Moréac, G. Zeuch, T. Mauss, F. “Reduced Mechanism for the Oxidation of the Mixtures of n-Heptane and iso-Octane” Proceeding of the European Combustion Meeting “ECM 2005” Louvain-La-Neuve, Belgium April 3-6 Paper No. 40 2005
- Ahmed S. S. Moréac G. Mauss F. Zeuch T. “A Wide Range Kinetic Modelling Study of n-Heptane Oxidation Applying Chemical Lumping for Model Simplification” Phys. Chem. Chem. Phys.
- Amnéus, P. Tunér, M. Mauss, F. “Formaldehyde and hydroxyl radicals in an HCCI engine - calculations and LIF-measurements” Combustion and Flame