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A Comparison between Different Moving Grid Techniques for the Analysis of the TCC Engine under Motored Conditions
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 02, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
The accurate representation of Internal Combustion Engine (ICE) flows via CFD is an extremely complex task: it strongly depends on a combination of highly impacting factors, such as grid resolution (both local and global), choice of the turbulence model, numeric schemes and mesh motion technique. A well-founded choice must be made in order to avoid excessive computational cost and numerical difficulties arising from the combination of fine computational grids, high-order numeric schemes and geometrical complexity typical of ICEs. The paper focuses on the comparison between different mesh motion technologies, namely layer addition and removal, morphing/remapping and overset grids. Different grid strategies for a chosen mesh motion technology are also discussed. The performance of each mesh technology and grid strategy is evaluated in terms of accuracy and computational efficiency (stability, scalability, robustness). In particular, a detailed comparison is presented against detailed PIV flow measurements of the well-known "TCC Engine III" (Transparent Combustion Chamber Engine III) available at the University of Michigan. Since many research groups are simultaneously working on the TCC engine using different CFD codes and meshing approaches, such engine constitutes a perfect playground for scientific cooperation between High-Level Institutions. A motored engine condition is chosen and the flow evolution throughout the engine cycle is evaluated on four different section planes. Pros and cons of each grid strategy as well as mesh motion technique are highlighted and motivated.
- Alessio Barbato - Universita di Modena e Reggio Emilia
- Federico Rulli - Universita di Modena e Reggio Emilia
- Stefano Fontanesi - Universita di Modena e Reggio Emilia
- Alessandro D'Adamo - Universita di Modena e Reggio Emilia
- Fabio Berni - Universita di Modena e Reggio Emilia
- Giuseppe Cicalese - R&D CFD S.r.l.
- Antonella Perrone - Siemens PLM
CitationBarbato, A., Rulli, F., Fontanesi, S., D'Adamo, A. et al., "A Comparison between Different Moving Grid Techniques for the Analysis of the TCC Engine under Motored Conditions," SAE Technical Paper 2019-01-0218, 2019, https://doi.org/10.4271/2019-01-0218.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
- Heywood, J.B., Internal Combustion Engine Fundamentals Second Edition (McGraw-Hill Education, 2018).
- Banerjee, R. et al., “Numerical Investigation of Stratified Air/Fuel Preparation in a GDI Engine,” Applied Thermal Engineering 104:414-428, 2016.
- Baratta, M. et al., “Mixture Formation Analysis in a Direct-Injection NG SI Engine under Different Injection Timings,” Fuel 159:675-688, 2015.
- Keskinen, K. et al., “Mixture Formation in a Direct Injection Gas Engine: Numerical Study on Nozzle Type, Injection Pressure and Injection Timing Effects,” Energy 94:542-556, 2016.
- Malaguti, S. et al., “CFD Investigation of Wall Wetting in a GDI Engine under Low Temperature Cranking Operations,” SAE Technical Paper 2009-01-0704, 2009, doi:10.4271/2009-01-0704.
- Zhou, D. et al., “Dual-Fuel RCCI Engine Combustion Modeling with Detailed Chemistry Considering Flame Propagation in Partially Premixed Combustion,” Applied Energy 203:164-176, 2017.
- Berni, F. et al., “Numerical Investigation on the Effects of Water/Methanol Injection as Knock Suppressor to Increase the Fuel Efficiency of a Highly Downsized GDI Engine,” SAE Technical Paper 2015-24-2499, 2015, doi:10.4271/2015-24-2499.
- Li, J. et al., “Effects of Fuel Ratio and Injection Timing on Gasoline/Biodiesel Fueled RCCI Engine: A Modeling Study,” Applied Energy 155:59-67, 2015.
- Fontanesi, S. et al., “A Methodology to Improve Knock Tendency Prediction in High Performance Engines,” Energy Procedia, 2014.
- Fontanesi, S. et al., “Integrated In-Cylinder/CHT Analysis for the Prediction of Abnormal Combustion Occurrence in Gasoline Engines,” SAE Technical Paper 2014-01-1151, 2014, doi:10.4271/2014-01-1151.
- Šarić, S. et al., “Advanced Near-Wall Modeling for Engine Heat Transfer,” International Journal of Heat and Fluid Flow 63:205-211, 2017.
- Tan, J.Y. et al., “Developments in Computational Fluid Dynamics Modelling of Gasoline Direct Injection Engine Combustion and Soot Emission with Chemical Kinetic Modelling,” Applied Thermal Engineering 107:936-959, 2016.
- Etheridge, J. et al., “Modelling Soot Formation in a DISI Engine,” Proceedings of the Combustion Institute 33(2):3159-3167, 2011.
- Vervisch, P.E. et al., “NO Relaxation Approach (NORA) to Predict Thermal NO in Combustion Chambers,” Combustion and Flame 158(8):1480-1490, 2011.
- Liu, K. and Haworth, D.C., “Development and Assessment of POD for Analysis of Turbulent Flow in Piston Engines,” SAE Technical Paper 2011-01-0830, 2011, doi:10.4271/2011-01-0830.
- Ko, I. et al., “Study of LES Quality Criteria in a Motored Internal Combustion Engine,” SAE Technical Paper 2017-01-0549, 2017, doi:10.4271/2017-01-0549.
- Ko, I. et al., “Investigation of Sub-Grid Model Effect on the Accuracy of In-Cylinder LES of the TCC Engine under Motored Conditions,” SAE Technical Paper 2017-24-0040, 2017, doi:10.4271/2017-24-0040.
- Reuss, D.L., “Cyclic Variability of Large-Scale Turbulent Structures in Directed and Undirected IC Engine Flows,” SAE Technical Paper 2000-01-0246, 2000, doi:10.4271/2000-01-0246.
- Buhl, S. et al., “Identification of Large-Scale Structure Fluctuations in IC Engines Using POD-Based Conditional Averaging. Oil Gas Sci. Technol. - Rev. IFP Energies Nouvelles,” 71(1):1, 2016.
- Martínez-Boggio, S.D. et al., “Simulation of Cycle-to-Cycle Variations on Spark Ignition Engines Fueled with Gasoline-Hydrogen Blends,” International Journal of Hydrogen Energy 41(21):9087-9099, 2016.
- D'Adamo, A. et al., “A RANS Knock Model to Predict the Statistical Occurrence of Engine Knock,” Applied Energy 191:251-263, 2017.
- Hasse, C., “Scale-Resolving Simulations in Engine Combustion Process Design Based on a Systematic Approach for Model Development,” International Journal of Engine Research 17(1):44-62, 2015.
- Pope, S.B., Turbulent Flows (Cambridge: Cambridge University Press, 2000).
- Hunt, J.C.R., Mathematical Models of Turbulence. By Launder B.E. and Spalding D.B., Academic Press, 1972, 169 Journal of Fluid Mechanics 57(4): 826-828, 2006.
- Jones, W.P. et al., “The Prediction of Laminarization with a Two-Equation Model of Turbulence,” International Journal of Heat and Mass Transfer 15(2):301-314, 1972.
- Gosman A.D., et al., A Computer Prediction Method for Turbulent Flow and Heat Transfer in Piston/Cylinder Assemblies, in Symposium on Turbulent Shear Flows. 1977, Pennsylvania State University.
- Yakhot, V. et al., “Renormalization Group Analysis of Turbulence. I. Basic Theory,” Journal of Scientific Computing 1(1):3-51, 1986.
- Yakhot, V. et al., “The Renormalization Group, the ɛ-Expansion and Derivation of Turbulence Models,” Journal of Scientific Computing 7(1):35-61, 1992.
- Han, Z. et al., “Turbulence Modeling of Internal Combustion Engines Using RNG κ-ε Models,” Combustion Science and Technology 106(4-6):267-295, 1995.
- Shih, T.-H. et al., “A New k-ϵ Eddy Viscosity Model for High Reynolds Number Turbulent Flows,” Computers & Fluids 24(3):227-238, 1995.
- Bulat, M.P. et al., “Comparison of Turbulence Models in the Calculation of Supersonic Separated Flows,” World Applied Sciences Journal 27(10):1263-1266, 2013.
- Tang, T. Moving Mesh Methods for Computational Fluid Dynamics, 2005.
- Dorfi, E.A. et al., “Simple Adaptive Grids for 1-D Initial Value Problems,” Journal of Computational Physics 69(1):175-195, 1987.
- Winslow, A.M., “Numerical Solution of the Quasilinear Poisson Equation in a Nonuniform Triangle Mesh,” Journal of Computational Physics 1:149-172, 1966.
- Piscaglia F. et al., A Moving Mesh Strategy to Perform Adaptive Large Eddy Simulation of IC Engines in OpenFOAM, 2014.
- Hardy, R.L., “Theory and Applications of the Multiquadric-Biharmonic Method 20 years of Discovery 1968-1988,” Computers & Mathematics with Applications 19(8):163-208, 1990.
- Benek, J. et al., A Flexible Grid Embedding Technique with Application to the Euler Equations, in 6th Computational Fluid Dynamics Conference Danvers, 1983, American Institute of Aeronautics and Astronautics.
- Prewitt, N.C. et al., “Parallel Computing of Overset Grids for Aerodynamic Problems with Moving Objects,” Progress in Aerospace Sciences 36(2):117-172, 2000.
- Jingjing, F. et al., “Enhancement and Application of Overset Grid Assembly,” Chinese Journal of Aeronautics 23(6):631-638, 2010.
- Berton, A. et al., “Overset Grids for Fluid Dynamics Analysis of Internal Combustion Engines,” Energy Procedia 126:979-986, 2017.
- Schiffmann, P. et al., “TCC-III Engine Benchmark for Large-Eddy Simulation of IC Engine Flows,” Oil Gas Sci. Technol. - Rev. IFP Energies Nouvelles 71(1):3, 2016.
- Berni, F. et al., “Critical Aspects on the Use of Thermal Wall Functions in CFD In-Cylinder Simulations of Spark-Ignition Engines,” SAE International Journal of Commercial Vehicles 10(2):547-561, 2017.
- Cicalese, G. et al., “A Comprehensive CFD-CHT Methodology for the Characterization of a Diesel Engine: From the Heat Transfer Prediction to the Thermal Field Evaluation,” SAE Technical Paper 2017-01-2196, 2017, doi:10.4271/2017-01-2196.
- Siemens, “STAR METHODOLOGY for Internal Combustion Engine Applications,” Version 4.28, ed. 2017, Siemens Product Lifecycle Management Inc.
- Siemens, “Simcenter STAR-CCM+ User Guide,” Siemens PLM Software, 2018.
- Hadzic, H., “Development and Application of a Finite Volume Method for the Computation of Flows around Moving Bodies on Unstructured, Overlapping Grids,” in Arbeitsbereiche Schiffbau, 2006, Auflage, Hamburg.
- Laurent, G. et al., “Combining PIV, POD and Vortex Identification Algorithms for the Study of Unsteady Turbulent Swirling Flows,” Measurement Science and Technology 12(9):1422, 2001.
- Stansfield, P. et al., “PIV Analysis of In-Cylinder Flow Structures over a Range of Realistic Engine Speeds,” Experiments in Fluids 43(1):135-146, 2007.