This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Study of LES Quality Criteria in a Motored Internal Combustion Engine
ISSN: 0148-7191, e-ISSN: 2688-3627
Published March 28, 2017 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
In recent years, Large-Eddy Simulation (LES) is spotlighted as an engineering tool and severe research efforts are carried out on its applicability to Internal Combustion Engines (ICEs). However, there is a general lack of definitive conclusions on LES quality criteria for ICE. This paper focuses on the application of LES quality criteria to ICE and to their correlation, in order to draw a solid background on future LES quality assessments for ICE. In this paper, TCC-III single-cylinder optical engine from University of Michigan is investigated and the analysis is conducted under motored condition. LES quality is mainly affected by grid size and type, sub-grid scale (SGS) model, numeric schemes. In this study, the same grid size and type are used in order to focus on the effect on LES quality of SGS models and blending factors of numeric scheme only. In the first section of the study, single grid estimators are used to compare two sub-filter models which are static Smagorinsky model and dynamic Smagorinsky model. Also, two cases which are simulated with different blending factors for numeric schemes and same SGS model are compared. In the second section, the in-cylinder gas-dynamics and flow structures are analyzed by comparing experimental results (pressure transducers and Particle Image Velocimetry (PIV) velocity fields) with a dataset of consecutive LES cycles. The flow analysis focuses at four different crank angle positions (bottom dead center (BDC), middle of exhaust and intake valve opening timing and mid-compression stroke) on the same section plane as PIV visualizations. Finally, the connection between the LES quality criteria and the accuracy of simulation results with experiments is discussed and conclusions are drawn to outline a best practice in LES quality for ICE.
CitationKo, I., D'Adamo, A., Fontanesi, S., and Min, K., "Study of LES Quality Criteria in a Motored Internal Combustion Engine," SAE Technical Paper 2017-01-0549, 2017, https://doi.org/10.4271/2017-01-0549.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
- Enaux, B., Granet, V., Vermorel, O., Lacour, C., Thobois, L., Dugué, V., & Poinsot, T., "Large eddy simulation of a motored single-cylinder piston engine: numerical strategies and validation," Flow, turbulence and combustion 86(2):153-177, 2011, doi:10.1007/s10494-010-9299-7.
- Kravchenko, A. G., and Moin, P., "On the effect of numerical errors in large eddy simulations of turbulent flows," Journal of Computational Physics 131(2):310-322, 1997, doi:10.1006/jcph.1996.5597.
- Geurts, B. J., and Fröhlich, J., "A framework for predicting accuracy limitations in large-eddy simulation," Physics of Fluids (1994-present) 14(6):L41-L44, 2002, doi:10.1063/1.1480830.
- Meyers, J., Geurts, B. J., and Baelmans, M., "Database analysis of errors in large-eddy simulation," Physics of Fluids (1994-present) 15(9):2740-2755, 2003, doi:10.1063/1.1597683.
- Celik, I. B., Cehreli, Z. N., and Yavuz, I., "Index of resolution quality for large eddy simulations," Journal of fluids engineering 127(5):949-958, 2005, doi:10.1115/1.1990201.
- Celik, I., Klein, M., and Janicka, J., "Assessment measures for engineering LES applications," Journal of fluids engineering 131(3):031102, 2009, doi:10.1115/1.3059703.
- Freitag, M., and Klein, M., "An improved method to assess the quality of large eddy simulations in the context of implicit filtering," Journal of Turbulence (7):N40, 2006, doi:10.1080/14685240600726710.
- Gullbrand, J., and Chow, F. K., "The effect of numerical errors and turbulence models in large-eddy simulations of channel flow, with and without explicit filtering," Journal of Fluid Mechanics 495:323-341, 2003, doi:10.1017/S0022112003006268.
- Klein, M., "An attempt to assess the quality of large eddy simulations in the context of implicit filtering," Flow, Turbulence and Combustion 75(1-4):131-147, 2005, doi:10.1007/s10494-005-8581-6.
- di Mare, F., Knappstein, R., and Baumann, M., "Application of LES-quality criteria to internal combustion engine flows," Computers & Fluids 89:200-213, 2014, doi:10.1016/j.compfluid.2013.11.003.
- Schiffmann, P., Gupta, S., Reuss, D., Sick, V., Yang, X., and Kuo, T. W., "TCC-III Engine Benchmark for Large-Eddy Simulation of IC Engine Flows," Oil & Gas Science and Technology 71(1), 2016, doi:10.2516/ogst/2015028.
- "STAR Methodology version 4.22," (CD-adapco, 2014)
- Donea, J., Giuliani, S., and Halleux, J. P., "An arbitrary Lagrangian-Eulerian finite element method for transient dynamic fluid-structure interactions," Computer methods in applied mechanics and engineering 33(1-3):689-723, 1982, doi:10.1016/0045-7825(82)90128-1.
- Issa, R. I., "Solution of the implicitly discretised fluid flow equations by operator-splitting," Journal of computational physics 62(1):40-65, 1986, doi:10.1016/0021-9991(86)90099-9.
- Smagorinsky, J., "General circulation experiments with the primitive equations: I. the basic experiment," Monthly weather review 91(3):99-164, 1963, doi:http://dx.doi.org/10.1175/1520-0493(1963)091<0099:GCEWTP>2.3.CO;2.
- Piomelli, U., Cabot, W. H., Moin, P., and Lee, S., "Subgrid-scale backscatter in turbulent and transitional flows," Physics of Fluids A: Fluid Dynamics (1989-1993) 3(7):1766-1771, 1991, doi:10.1063/1.857956.
- Germano, M., Piomelli, U., Moin, P., and Cabot, W. H., "A dynamic subgrid-scale eddy viscosity model," Physics of Fluids A: Fluid Dynamics (1989-1993) 3(7):1760-1765, 1991, doi:10.1063/1.857955.
- Yoshizawa, A., "Statistical theory for compressible turbulent shear flows, with the application to subgrid modeling," Physics of Fluids (1958-1988) 29(7):2152-2164, 1986, doi:10.1063/1.865552.
- Pope, S. B., "Turbulent flows," (Cambridge University, 2000), ISBN:9780521598866.
- Rutland, C. J., “Large-eddy simulations for internal combustion engines - a review,” International Journal of Engine Research (2011), doi:10.1177/1468087411407248
- Pope, S. B., "Ten questions concerning the large-eddy simulation of turbulent flows," New journal of Physics 6(1):35, 2004, doi:10.1088/1367-2630/6/1/035
- Davidson, L. "Large eddy simulations: how to evaluate resolution," International Journal of Heat and Fluid Flow 30(5):1016-1025, 2009, doi:10.1016/j.ijheatfluidflow.2009.06.006
- Haworth, D. C., "Large-eddy simulation of in-cylinder flows," Oil & Gas Science and Technology 54(2):175-185, 1999, doi:http://dx.doi.org/10.2516/ogst:1999012
- Liu, K., Haworth, D.C., Yang, X., and Gopalakrishnan, V., "Large-eddy simulation of motored flow in a two-valve piston engine: POD analysis and cycle-to-cycle variations," Flow, turbulence and combustion 91(2):373-403, 2013, doi:10.1007/s10494-013-9475-7
- Richard, S., Colin, O., Vermorel, O., Benkenida, A., Angelberger, C., and Veynante, D., "Towards large eddy simulation of combustion in spark ignition engines," Proceedings of the Combustion Institute, 31(2):3059-3066, 2007, doi:10.1016/j.proci.2006.07.086
- Goryntsev, D., Sadiki, A., Klein, M., and Janicka, J., "Large eddy simulation based analysis of the effects of cycle-to-cycle variations on air-fuel mixing in realistic DISI IC-engines", Proceedings of the Combustion Institute, 32(2):2759-2766, 2009, doi:10.1016/j.proci.2008.06.185
- d'Adamo, A., Breda, S., Fontanesi, S., and Cantore, G., "LES Modelling of Spark-Ignition Cycle-to-Cycle Variability on a Highly Downsized DISI Engine," SAE Int. J. Engines 8(5):2029-2041, 2015, doi:10.4271/2015-24-2403.
- d’Adamo, A., Breda, S., and Cantore, G., "Large-Eddy Simulation of Cycle-resolved Knock in a Turbocharged SI Engine", Energy Procedia, 82:45-50, 2015, doi:10.1016/j.egypro.2015.11.881
- Fontanesi, S., Paltrinieri, S., d’Adamo, A., and Duranti, S., "Investigation of boundary condition and field distribution effects on the cycle-to-cycle variability of a turbocharged GDI engine using LES," Oil & Gas Science and Technology-Revue d’IFP Energies nouvelles, 69(1):107-128, 2014, doi:http://dx.doi.org/10.2516/ogst/2013142