DrivAer Automotive Aerodynamics
Master automotive CFD simulation using the industry-standard DrivAer reference geometry. This example demonstrates professional-grade automotive aerodynamics analysis on the Navier AI Platform.About DrivAer
Reference Model
The DrivAer model is a simplified yet realistic automotive geometry developed for CFD validation:- Scale: Full-scale passenger car (4.6m length)
- Configurations: Fastback, Estate, and Notchback variants
- Features: Detailed underbody, wheels, mirrors, and aerodynamic elements
- Validation: Extensively validated against wind tunnel data
Simulation Objectives
- Calculate drag coefficient (CD) for fuel efficiency assessment
- Analyze pressure distribution and flow separation
- Study wake characteristics and vortex formation
- Validate CFD setup against experimental data
Geometry Preparation
DrivAer Model Files
This example will use the Notchback (Traditional sedan with distinct trunk) model.Geometry Checklist
We start by verifying the qualify of our geometry. We need to go through our geometry checklist to ensure that it’s sufficient quality for meshing.Platform Configuration
1. Project Setup
- Create new project: “DrivAer Aerodynamics Study”
- Upload DrivAer STL file (typically 10-50MB)
- Verify scaling and orientation in 3D viewer
2. Domain Configuration
Recommended Domain Size
Professional Setup (Medium-Large Domain):- Upstream: 3× vehicle length (13.9m)
- Downstream: 10× vehicle length (46.3m)
- Width: 6× vehicle width (10.8m)
- Height: 4× vehicle height (6.0m)
- Ground clearance: 0.05m
Flow Conditions
3. Advanced Meshing Strategy
Base Mesh Resolution
- Domain Base: 0.2-0.3m cells
- Vehicle Region: 0.05-0.1m cells
- Total Cell Count: Target 8-15 million cells
Critical Refinement Zones
Boundary Layer Refinement
Boundary Layer Refinement
High-resolution near-wall mesh for accurate drag prediction:
- First cell height: y+ = 30-100 (wall functions)
- Growth ratio: 1.2-1.3
- Layers: 10-15 prism layers
- Thickness: 0.05m from all surfaces
Wake Region
Wake Region
Capture complex wake flow and pressure recovery:
- Type: Box refinement
- Location: 0.5-8.0m behind vehicle
- Dimensions: 4m wide × 3m high
- Refinement Level: 4-5
Underbody Flow
Underbody Flow
Critical for accurate drag and lift calculations:
- Type: Box under vehicle
- Height: 0-0.3m from ground
- Coverage: Full vehicle length + 2m downstream
- Refinement Level: 4
Wheel Wells
Wheel Wells
Capture complex rotating wheel effects:
- Type: Cylinder around each wheel
- Radius: 1.5× wheel radius
- Height: Full wheel well depth
- Refinement Level: 5-6
4. Solver Configuration
Flow Physics
Advanced Options
- Potential Flow Initialization: Recommended for faster convergence
- Parallel Processing: Use 4-8 cores for optimal performance
- Relaxation Factors: Conservative (0.7 for momentum, 0.8 for pressure)
5. Boundary Conditions
Domain Boundaries
Vehicle Surfaces
Simulation Execution
Pre-simulation Validation
- Mesh Quality: Orthogonality > 0.1, Aspect Ratio < 1000
- Y+ Values: Check wall distance for turbulence model
- Domain Independence: Boundaries > 5× vehicle dimensions
- Mass Conservation: Verify inlet/outlet flow rates
Convergence Monitoring
Key Residuals
- Continuity: Target < 1e-4
- Momentum (UVW): Target < 1e-4
- Turbulence (k, ω): Target < 1e-5
- Energy (if thermal): Target < 1e-6
Force Monitoring
Runtime Estimates
- 8M cells, 4 cores: 4-6 hours
- 15M cells, 8 cores: 6-10 hours
- Convergence: Typically 1500-3000 iterations
Results Analysis
Drag Coefficient Validation
Expected Values (DrivAer Fastback)
Calculation Formula
Flow Visualization
Surface Pressure
Analysis Points:
- High pressure: Front stagnation point
- Low pressure: Roof acceleration, rear separation
- Pressure recovery: Behind vehicle
Streamlines
Key Features:
- Attachment/separation lines
- Roof vortices
- Underbody acceleration
- Wake recirculation
Velocity Contours
Critical Regions:
- Boundary layer thickness
- Separation zones
- Wake velocity deficit
- Ground effect acceleration
Vorticity
Vortex Structures:
- A-pillar vortices
- Wheel wake vortices
- Rear spoiler effects
- Underbody vortices
Performance Metrics
Aerodynamic Efficiency
Design Optimization Insights
- Drag Reduction: Focus on rear separation and underbody flow
- Downforce: Analyze front/rear balance for stability
- Side Force: Minimize for crosswind stability
- Cooling: Assess radiator and brake cooling airflow
Advanced Analysis
Pressure Coefficient Distribution
Benchmark Comparison
| Configuration | CD (Exp.) | CD (CFD) | Error |
|---|---|---|---|
| Fastback | 0.243 | 0.248 | +2.1% |
| Estate | 0.265 | 0.271 | +2.3% |
| Notchback | 0.355 | 0.362 | +2.0% |
Optimization Strategies
Aerodynamic Improvements
- Rear Spoiler: Optimize angle and position
- Underbody Panels: Smooth underbody flow
- Side Mirrors: Streamline or camera replacement
- Wheel Design: Optimize wheel aerodynamics
- Grille Blocking: Minimize cooling drag when possible
Parametric Studies
Professional Validation
Mesh Independence Study
| Mesh Size | CD Value | % Change |
|---|---|---|
| 3M cells | 0.251 | baseline |
| 8M cells | 0.248 | -1.2% |
| 15M cells | 0.247 | -0.4% |
Turbulence Model Comparison
- k-ω SST: Most accurate for automotive (recommended)
- k-ε Realizable: Faster, less accurate rear separation
- Spalart-Allmaras: Good for attached flows only
Industry Applications
OEM Development
Apply these techniques to production vehicle development and aerodynamic optimization programs.
Racing Applications
Adapt methods for motorsports with focus on downforce and efficiency optimization.
Commercial Vehicles
Scale approaches for truck and bus aerodynamics with emphasis on fuel efficiency.
Electric Vehicles
Consider thermal management and range optimization specific to EVs.