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Case 2 DrivAer Fastback and Estate 1st Automotive CFD Prediction - PowerPoint PPT Presentation

Case 2 DrivAer Fastback and Estate 1st Automotive CFD Prediction Workshop 2019-12-11 Petter Ekman Linkping University Title/Lecturer 2019-12-14 2 Content Background about chosen Method Time-Step Size Sensitivity Study *


  1. Case 2 DrivAer Fastback and Estate 1st Automotive CFD Prediction Workshop 2019-12-11 Petter Ekman Linköping University

  2. Title/Lecturer 2019-12-14 2 Content • Background about chosen Method – Time-Step Size Sensitivity Study * – Turbulence Model Study ** • Chosen Method Case 2 • Simulation Results Case 2 * Ekman, P., et al. Accuracy and Speed for Scale-Resolving Simulations of the DrivAer Reference Model . No. 2019-01-0639. SAE Technical Paper, 2019. ** Ekman, P., et al. Assessment of Hybrid RANS-LES Methods for Accurate Automotive Aerodynamic Simulation ., Submitted to Journal of Wind Engineering & Industrial Aerodynamics

  3. Method – Sensitivity Study • DrivAer Reference Model – Notchback – Smooth Underbody 𝑆𝑓 𝑀 = 3.12 ∙ 10 6 • • 5° of yaw • Test section included in the simulations – GroWiKa WT at TU Berlin • Stationary ground and wheels Ekman, P., et al. Accuracy and Speed for Scale-Resolving Simulations of the DrivAer Reference Model . No. 2019-01-0639. SAE Technical Paper, 2019.

  4. Method – Sensitivity Study • ANSYS Fluent • Stress Blended Eddy Simulation (SBES) – k- ω SST RANS model – Dynamic Smagorinsky SGS Model • ∆𝑢 = 1.4 ∙ 10 −6 𝑡 – 𝐷𝐺𝑀 < 1 • Mesh 𝐃 𝐄 𝐃 𝐌 – 15-20 prisms layers Mesh size 61 million cells 0.268 -0.120 – 61, 102 and 158 million cells 102 million cells 0.266 -0.136 158 million cells 0.269 -0.137 Ekman, P., et al. Accuracy and Speed for Scale-Resolving Simulations of the DrivAer Reference Model . No. 2019-01-0639. SAE Technical Paper, 2019.

  5. Method – Sensitivity Study Comparison to Wind Tunnel Measurements – Following Best Practice 𝐃 𝐄 𝐃 𝐌 Method Measurements performed by TU Berlin CFD 0.268 ± 0.002 -0.136 ± 0.001 Wind Tunnel 0.272 ± 0.003 -0.119 Wieser, D., et al. Experimental Comparison of the Aerodynamic Behavior of Fastback and Notchback DrivAer Models . No. 2014-01-0613. SAE Int. J. Passeng. Cars, 2014.

  6. Method – Sensitivity Study • Time-Step Size Investigation Corresponding time-step size for Case 2 ( 𝑴/(∆𝒖 ∙ 𝑽 ∞ ) ) CFL Time-step size [s] CFL Time-step size [s] 1.38 ∙ 10 −5 1.4 ∙ 10 −6 1 1 20850 1.4 ∙ 10 −5 1.38 ∙ 10 −4 10 2085 10 2.8 ∙ 10 −5 2.76 ∙ 10 −4 20 1042.5 20 7.0 ∙ 10 −5 6.89 ∙ 10 −4 50 417 50 1.4 ∙ 10 −4 1.38 ∙ 10 −3 100 208.5 100 CFL50 Ekman, P., et al. Accuracy and Speed for Scale-Resolving Simulations of the DrivAer Reference Model . No. 2019-01-0639. SAE Technical Paper, 2019.

  7. Results – Sensitivity Study Forces - Difference against CFL1 • Drag forces relative insensitive • Lift forces more sensitive Ekman, P., et al. Accuracy and Speed for Scale-Resolving Simulations of the DrivAer Reference Model . No. 2019-01-0639. SAE Technical Paper, 2019.

  8. Results – Sensitivity Study Total Pressure and Skin Friction Differences Against CFL1 CFL10 CFL20 CFL100 CFL50 Ekman, P., et al. Accuracy and Speed for Scale-Resolving Simulations of the DrivAer Reference Model . No. 2019-01-0639. SAE Technical Paper, 2019.

  9. Results – Sensitivity Study Ekman, P., et al. Accuracy and Speed for Scale-Resolving Simulations of the DrivAer Reference Model . No. 2019-01-0639. SAE Technical Paper, 2019.

  10. Results – Sensitivity Study Measurements performed by TU Berlin Wieser, D., et al. Experimental Comparison of the Aerodynamic Behavior of Fastback and Notchback DrivAer Models . No. 2014-01-0613. SAE Int. J. Passeng. SBES vs DDES and IDDES Cars, 2014. Fastback Notchback Ekman, P., et al. Assessment of Hybrid RANS-LES Methods for Accurate Automotive Aerodynamic Simulation ., Submitted to Journal of Wind Engineering & Industrial Aerodynamics

  11. Results – Sensitivity Study Measurements performed by TU Berlin Wieser, D., et al. Experimental Comparison of the Aerodynamic Behavior of Fastback and Notchback DrivAer Models . No. 2014-01-0613. SAE Int. J. Passeng. SBES vs DDES and IDDES Cars, 2014. Drag difference when increasing yaw angle for 0 ° Fastback Notchback Ekman, P., et al. Assessment of Hybrid RANS-LES Methods for Accurate Automotive Aerodynamic Simulation ., Submitted to Journal of Wind Engineering & Industrial Aerodynamics

  12. Notchback Results – Sensitivity Study SBES vs DDES and IDDES Ekman, P., et al. Assessment of Hybrid RANS-LES Methods for Accurate Automotive Aerodynamic Simulation ., Submitted to Journal of Wind Engineering & Industrial Aerodynamics

  13. Fastback Results – Sensitivity Study SBES vs DDES and IDDES Ekman, P., et al. Assessment of Hybrid RANS-LES Methods for Accurate Automotive Aerodynamic Simulation ., Submitted to Journal of Wind Engineering & Industrial Aerodynamics

  14. Chosen Method – Case 2 p-v SIMPLEC Momentum 2nd order Bounded Central Difference • ANSYS Fluent 2019R1 Turbulence 2nd order Upwind • Stress Blended Eddy Simulation (SBES) Pressure 2nd order Central Difference – Dynamic Smagorinsky SGS model Temporal 2nd order Bounded Implicit Iterative Time-Advancement – k- ω SST RANS model Δ t= 1.375 ∙ 10 −4 s • (corresponding to CFL10) • 5 Inner Iterations SBES is ~25% more expensive than DDES for Τ Simulation Time: 5+20 Convective Flow Units 𝑢 ∙ 𝑉 ∞ 𝑀 • the same mesh and numerical settings • Simulation Cost on 1920 cores • Mesh = Medium Hexapoly • Fastback = 133 658 corehours • Boundary Conditions according to Case 2 description • Estate = 125 429 corehours

  15. Results - Forces • Absolute Forces 𝑫 𝑬 𝑫 𝑴 𝑫 𝑴𝑮 𝑫 𝑴𝑺 Car Body/Method Fastback – SBES 0.229 -0.035 -0.120 0.086 Fastback – WT* 0.243 - - - Estate - SBES 0.279 -0.198 -0.154 -0.044 Estate – WT* 0.292 - - - • Force Difference: Estate - Fastback ∆𝑫 𝑬 ∆𝑫 𝑴 Method SBES 0.050 -0.163 WT* 0.049 - Time-Averaging time (20 flow units) * Heft, A., et al. Introduction of a New Generic Realistic Car Model for Aerodynamic Investigations . No. 2012-01-0168. SAE Technical Paper, 2012.

  16. Results - WSS

  17. Results - Pressure • Comparison to Heft, A., et al. * and * Heft, A., et al. Introduction of a New Generic Realistic Car Model for Aerodynamic Investigations . No. 2012-01-0168. SAE Technical Paper, 2012.

  18. Results - Pressure • Comparison to Avadiar, T., et al. * • Offset of Cp = 0.05 * Avadiar, T., et al. Characterisation of the wake of the DrivAer estate vehicle . Journal of Wind Engineering & Industrial Aerodynamics, 2018.

  19. Conclusions • Possible to be aggressive with time-step size – Drag relative insensitive – Lift more sensitive • High accuracy achieved with SBES – Able to capture the complex flow over the rear window – Base pressure correlate well with measurements – Good drag prediction for different yaw and car configurations – Excellent trend prediction – ~25% more expensive than DDES k- ω SST

  20. Acknowledgements Thanks to TU Berlin and especially Dirk Wieser for sharing measurement data Thanks to National Supercomputer Centre at Linköping University for providing computational resources

  21. Thank you! Petter.ekman@liu.se

  22. Extra Material Total Pressure and Skin Friction CFL1 CFL20 CFL10 CFL100 CFL50 Ekman, P., et al. Accuracy and Speed for Scale-Resolving Simulations of the DrivAer Reference Model . No. 2019-01-0639. SAE Technical Paper, 2019.

  23. Extra Material Surface Pressure CFL10 CFL20 CFL1 CFL50 CFL100 Ekman, P., et al. Accuracy and Speed for Scale-Resolving Simulations of the DrivAer Reference Model . No. 2019-01-0639. SAE Technical Paper, 2019.

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