This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Efficient Simulation of Diesel Engine Combustion Using Realistic Chemical Kinetics in CFD
Technical Paper
2010-01-0178
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Detailed knowledge of hydrocarbon fuel combustion chemistry has grown tremendously in recent years. However, the gap between detailed chemistry and computational fluid dynamics (CFD) remains, because of the high cost of solving detailed chemistry in a large number of computational cells. This paper presents the results of applying a suite of techniques aimed at closing this gap. The techniques include use of a surrogate blend optimizer and a guided mechanism reduction methodology, as well as advanced methods for efficiently and accurately coupling the pre-reduced kinetic models with the multidimensional transport equations. The advanced methods include dynamic adaptive chemistry (DAC) and dynamic cell clustering (DCC) algorithms. These techniques are demonstrated by determining a multi-component diesel fuel surrogate mechanism, reducing it as appropriate for the conditions of interest, and then employing the reduced (but still quite detailed) mechanism in a multidimensional CFD calculation of diesel engine combustion. The CFD simulation employs the newly developed FORTÉ simulation package, which was designed to take advantage of the advanced chemistry solver methodologies as well as advanced spray models. We start with a detailed diesel-surrogate mechanism that contains 26 model-fuel components, for which an extensive set of validation studies have been performed to verify predictions of ignition-delay and flame properties. The diesel surrogate mechanism contains ~3,800 species and ~16,000 reactions. Given the cetane number and physical properties of a specific blend of diesel fuel, a surrogate-blend optimizer was used to obtain multi-component diesel surrogates that match the properties of the diesel. With this diesel surrogate composition, a guided mechanism reduction method was used to reduce the 3,800-species diesel mechanism to a 437-species mechanism, maintaining accuracy of fundamental predictions over a wide range of conditions. Then the 437-species mechanism was used directly in a CFD simulation of diesel engine combustion using a sector mesh. The combined use of the DAC and DCC methods offers a speed-up factor of two to three orders of magnitude compared to conventional computational approaches, making the once-prohibitive computational task achievable within a reasonable time frame. Calculated in-cylinder pressure, heat release rates, and emissions were analyzed against experimental data. The chemistry solution techniques demonstrated in this paper prove highly efficient and accurate, and they pave the way for including sophisticated combustion kinetics in computational engine combustion research.
Authors
- Long Liang - Reaction Design
- Chitralkumar V. Naik - Reaction Design
- Karthik Puduppakkam - Reaction Design
- Cheng Wang - Reaction Design
- Abhijit Modak - Reaction Design
- Ellen Meeks - Reaction Design
- Hai-Wen Ge - Univ. of Wisconsin-Madison
- Rolf D. Reitz - Univ. of Wisconsin-Madison
- Christopher Rutland - Univ. of Wisconsin-Madison
Topic
Citation
Liang, L., Naik, C., Puduppakkam, K., Wang, C. et al., "Efficient Simulation of Diesel Engine Combustion Using Realistic Chemical Kinetics in CFD," SAE Technical Paper 2010-01-0178, 2010, https://doi.org/10.4271/2010-01-0178.Also In
References
- Nakakita, K. Ban, H. Takasu, S. Hotta, Y. Inagaki, K. Weissman, W. Farrell, J. “Effect of Hydrocarbon Molecular Structure in Diesel Fuel on In-cylinder Soot Formation and Exhaust Emissions,” SAE Technical Paper 2003-01-1914 2003
- Liang L. Stevens J.G. Farrell J.T. “A dynamic adaptive chemistry scheme for reactive flow computations” Proc. Combust. Inst. 32 527 534 2009
- Liang L. Stevens J.G. Raman S. Farrell J.T. “The use of dynamic adaptive chemistry in combustion simulation of gasoline surrogate fuels” Combust. Flame 156 1493 1502 2009
- Liang L. Stevens J.G. Farrell J.T. “A dynamic multi-zone partitioning scheme for solving detailed chemical kinetics in reactive flow computations” Combust. Sci. and Tech. 181 11 1345 1371 2009
- The Model Fuels Consortium http://www.modelfuelsconsortium.com
- Reaction Workbench, Reaction Design San Diego, CA 2008
- Farrell, J. Cernansky, N. Dryer, F. Friend, D. Hergart, C-A. McDavid, R. Mueller, C. Patel, A. Pitsch, H. “Development of an Experimental Database and Kinetic Models for Surrogate Diesel Fuels,” SAE Technical Paper 2007-01-0201 2007
- Patel, A. Kong, S-C. Reitz, R. “Development and Validation of a Reduced Reaction Mechanism for HCCI Engine Simulations,” SAE Technical Paper 2004-01-0558 2004
- Yoshikawa T. Reitz R.D. “Validation of a grid independent spray model and fuel chemistry mechanism for low temperature diesel combustion” International Journal of Spray and Combustion Dynamics 1 3 283 316 2009
- Westbrook C.K. Pitz W. Herbinet O. Curran H. J. Silke E. J. “A detailed chemical kinetic oxidation mechanism for combustion of n-alkane hydrocarbons from n-octane to n-hexadecane” Combust. Flame 156 1 181 191 2009
- Naik C.V. Puduppakkam K.V. Wang C. Kottalam J. Liang L. Hodgson D. Meeks E. “Steps towards closing the gap between detailed kinetics mechanisms and their use in modeling conventional fuels: the surrogate blend optimizer and mechanism reduction methodologies” SAE Paper 2010
- Pepiot-Desjardins P. Pitsch H. Combust. Flame 154 67 81 2008
- Amsden A.A. “KIVA-3V: A block-structured KIVA program for engines with vertical or canted valves” Los Alamos National Lab. 1997
- Jain A.K. Dubes R.C. Algorithms for Clustering Data Prentice Hall 1988
- Han Z. Reitz R.D. “Turbulence modeling of internal combustion engines using RNG models” Combust. Sci. Technol. 106 267 295 1995
- Abani, N. Kokjohn, S. Park, S. Bergin, M. Munnannur, A. Ning, W. Sun, Y. Reitz, R. “An Improved Spray Model for Reducing Numerical Parameter Dependencies in Diesel Engine CFD Simulations,” SAE Technical Paper 2008-02-0970 2008
- Ra Y. Reitz R.D. “A vaporization model for discrete multi-component fuel sprays” International Journal of Multiphase Flow 35 2 101 117 2009
- Musculus, M. “On the Correlation Between NO x Emissions and the Diesel Premixed Burn” SAE Technical Paper 2004-01-1401 , SAE Transactions 113 4 2004
- Singh S. “Experimental investigation of multi-mode diesel engine combustion and validation of advanced combustion models” University of Wisconsin-Madison 2006
- Singh, S. Musculus, M. Reitz, R. “Comparison of the Characteristic Time (CTC), Representative Interactive Flamelet (RIF), and Direct Integration with Detailed Chemistry Combustion Models Against Optical Diagnostic Data for Multi-mode Combustion in a Heavy-duty DI Diesel Engine,” SAE Technical Paper 2006-01-0055 2006
- Seiser R. Pitsch H. Seshadri K. Pitz W. J. Curran H. J. Proc. Combust. Inst. 28 2029 2037 2000
- Liang L. Puduppakkam K. Meeks E. “Towards using realistic chemical kinetics in multidimensional CFD” 19 th International Multidimensional Engine Modeling User's Group Meeting Detroit, MI April 19 2009
- Brown P.N. Byrne G.D. Hindmarsh A.C. SIAM J. Sci. Stat. Comput. 10 1038 1051 1989