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The Dual Flame Model (DFM) : A Phenomenological 0D Diesel Combustion Model to Predict Pollutant Emissions
ISSN: 0148-7191, e-ISSN: 2688-3627
Published September 06, 2015 by SAE International in United States
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IFP Energies nouvelles (IFPEN) has a large experience in the development of engine simulation platforms. During the last decade, the Dual Flame Model (DFM), a physical 0-dimensional (0D) combustion model designed for Diesel applications, was developed and continuously improved. The DFM formalism allows to represent quite precisely the in-cylinder combustion process scenario, by accounting for the first order relevant physics impacting fuel oxidation. First of all, this allows to account for the impact of engine actuators on combustion (e.g. injection systems performing complex injection strategies, Low Pressure and High Pressure EGR loops,…) and then to describe the pollutant emissions formation processes, being chemical kinetics strongly dependent on the in-cylinder thermochemical conditions.
The aim of this communication is to present the potential of using the DFM model in the different stages of a Diesel engine development process for pollutant emissions optimization. For this, a new automatic multi-step calibration approach developed at IFPEN will be detailed and its potential will be illustrated thanks to several applications. In a second time, the representativeness of the DFM combustion process description and its potential to predict pollutant emissions to single-parameter variations of engine control actuators will be investigated. To do that, an original model evaluation methodology based on DOE (Design Of Experiments) is presented. Accordingly, the physical response of the DFM, obtained by post-processing the results of the virtual DOE database is compared to the one given by an experimental mirror-DOE database. This permits to validate from one side the physical bases of the DFM and to put in evidence the axes of improvement of the model.
CitationRudloff, J., Dulbecco, A., and Font, G., "The Dual Flame Model (DFM) : A Phenomenological 0D Diesel Combustion Model to Predict Pollutant Emissions," SAE Technical Paper 2015-24-2388, 2015, https://doi.org/10.4271/2015-24-2388.
- Rether , D. , Grill , M. , Schmid , A. , and Bargende , M. Quasi-Dimensional Modeling of CI-Combustion with Multiple Pilot- and Post Injections SAE Int. J. Engines 3 1 12 27 2010 10.4271/2010-01-0150
- Chmela F. , Pirker G. , Losonczi B. , Wimmer A. et al. A New Burn Rate Simulation Model for Improved Prediction of Multiple Injection Effects on Large Diesel Engines Thiesel Conference 2010
- Lafossas , F. , Marbaix , M. , and Menegazzi , P. Development and Application of a 0D D.I. Diesel Combustion Model for Emissions Prediction SAE Technical Paper 2007-01-1841 2007 10.4271/2007-01-1841
- Lebas , R. , Fremovici , M. , Font , G. , and Le Berr , F. A Phenomenological Combustion Model Including In-Cylinder Pollutants To Support Engine Control Optimisation Under Transient Conditions SAE Technical Paper 2011-01-1837 2011 10.4271/2011-01-1837
- Barba , C. , Burkhardt , C. , Boulouchos , K. , and Bargende , M. A Phenomenological Combustion Model for Heat Release Rate Prediction in High-Speed DI Diesel Engines with Common Rail Injection SAE Technical Paper 2000-01-2933 2000 10.4271/2000-01-2933
- Yates , A. , Swarts , A. , and Viljoen , C. Correlating Auto-Ignition Delays And Knock-Limited Spark-Advance Data For Different Types Of Fuel SAE Technical Paper 2005-01-2083 2005 10.4271/2005-01-2083
- Vandersickel A. Hartmann M. Vogel K. Wright , Y. et al. The autoignition of practical fuels at HCCI conditions : High-pressure shock tube experiments and phenomenological modeling Fuel 2012 93 0 492 501
- Livengood J.C. ,. and Wu P.C. Correlation of autoignition phenomena in internal combustion engines and rapid compression machines Symposium (International) on Combustion 1955 5 1 347 356
- Hernandez , J.J Lapuerta M. and Sanz-Argent , J. Autoignition prediction capability of the Livengood-Wu correlation applied to fuels of commercial interest International Journal of Engine Research 2014 15 7 817 829
- Boulouchos K. Eberle M.K. Engine Thermodynamics Today Challenges and Possible Solutions 52 11 1991
- Weisser G. Boulouchos K. NOEMI - “A Tool for the Precalculation of Nitric Oxide Emissions of DI Diesel Engines The Working Process of the Internal Combustion Engine Technical University Graz 1995
- Merker G.P. , Schwartz C. Stiesch G. Otto F. Simulating Combustion. Simulation of combustion and pollutant formation for engine development 2005
- Bower , G. and Foster , D. A Comparison of the Bosch and Zuech Rate of Injection Meters SAE Technical Paper 910724 1991 10.4271/910724
- Adrià , Borràs Nadal et al. Application of global model based calibration methodology to optimize a 2.3 litre diesel engine with SCR on WLTC cycle 8th Conference Design of Experiments (DoE) in Engine Development Berlin 2015