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Comparison Between MCC and MZCM Combustion Models
ISSN: 0148-7191, e-ISSN: 2688-3627
Published January 13, 2020 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
This paper evaluates the ability of two combustion models to predict a small HSDI diesel engine operation after changing its operational parameters. Both Multi-Zone Combustion Model (MZCM) and Mixing Controlled Combustion (MCC) are inherently coupled to the fuel injection process allowing great freedom of simulation for multistage injection engines but also requiring consistent calibration of the model parameters. In the present work, two operating conditions of a reference research engine are modelled and tuned in the AVL Boost® software using both MCC and MZCM to model the combustion process. The operational conditions evaluated are defined by changes in EGR rate, fuel injection start and distribution, boost pressure, and injection pressure. The predictive ability of each model is assessed by comparing the output results accuracy and the number of parameters changes needed to tune the model for a given change of operation. The novelty of this work resides in the comparison of the two models, as built in the software, in a practical simulation process. Both models have a similar amount of base parameters to be tuned, but MCC performed slightly better in predicting engine performance, while MZCM has the disadvantage of not accurately predicting the burned zone temperature after shifting operational conditions.
Citationda Penha, P. and Amorim, R., "Comparison Between MCC and MZCM Combustion Models," SAE Technical Paper 2019-36-0133, 2020, https://doi.org/10.4271/2019-36-0133.
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- Tree, D.R. and Svensson, K.I. , “Soot processes in compression ignition engines,” Prog. Energy Combust. Sci. 33(3):272–309, 2007, doi:10.1016/j.pecs.2006.03.002.
- Shenawy, E.A. El, Elkelawy, M., Bastawissi, H.A.E., Panchal, H., and Shams, M.M. , “Comparative study of the combustion, performance, and emission characteristics of a direct injection diesel engine with a partially premixed lean charge compression ignition diesel engines,” Fuel 249(January):277–285, 2019, doi:10.1016/j.fuel.2019.03.073.
- Neshat, E., Honnery, D., and Saray, R.K. , “Multi-zone model for diesel engine simulation based on chemical kinetics mechanism,” Appl. Therm. Eng. 121(November):351–360, 2017, doi:10.1016/j.applthermaleng.2017.04.090.
- Heywood, J.B. , “Internal Combustion Engines Fundamentals,” 2nd ed., McGraw-Hill Education, ISBN 9781260116106, 2018.
- Oo, C.W., Shioji, M., Nakao, S., Dung, N.N., Reksowardojo, I., Roces, S.A., and Dugos, N.P. , “Ignition and combustion characteristics of various biodiesel fuels (BDFs),” Fuel 158:279–287, 2015, doi:10.1016/j.fuel.2015.05.049.
- Kamimoto, T. and Kobayashi, H. , “Combustion processes in diesel engines,” Prog. Energy Combust. Sci. 17(2):163–189, 1991, doi:10.1016/0360-1285(91)90019-J.
- Poetsch, C., Ofner, H., and Schutting, E. , “Assessment of a Multi-Zone Combustion Model for Analysis and Prediction of CI Engine Combustion and Emissions,” SAE Tech. Pap. Ser. 1, 2011, doi:10.4271/2011-01-1439.
- Chmela, F.G. and Orthaber, G.C. , “Rate of Heat Release Prediction for Direct Injection Diesel Engines Based on Purely Mixing Controlled Combustion,” (724), 1999, doi:10.4271/1999-01-0186.
- AVL LIST GmbH , AVL Boost Version 2011 - Theory, 2011.
- Benajes, J., Molina, S., Rudder, K. De, and Amorim, R. , “Optimization Towards Low-temperature Combustion in a HSDI Diesel Engine, Using Consecutive Screenings,” SAE Tech. Pap. 2007(724), 2007, doi:10.4271/2007-01-0911.
- AVL LIST GmbH , AVL Boost v2017 User Guide, 2016.