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Comparison Between MCC and MZCM Combustion Models
Technical Paper
2019-36-0133
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
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.
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da 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.Data Sets - Support Documents
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References
- Tree , D.R. and Svensson , K.I. Soot processes in compression ignition engines Prog. Energy Combust. Sci. 33 3 272 309 2007 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 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. 121 351 360 2017 10.1016/j.applthermaleng.2017.04.090
- Heywood , J.B. Internal Combustion Engines Fundamentals 2nd ed. McGraw-Hill Education 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 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 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 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 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 10.4271/2007-01-0911
- AVL LIST GmbH 2016