This plot shows:
- Relationship between flow rate and impeller efficiency
- Color-coded points for different flow rate ranges
- Clear visualization of the efficiency drop at 35 m/s
- Trend line showing overall performance pattern
This visualization demonstrates:
- Optimization improvement over iterations
- Separate convergence paths for each flow rate range
- Quick convergence for most operating points
- Areas requiring more optimization iterations
The heatmap reveals:
- Optimal operating regions (bright areas)
- Test point distribution (red dots)
- Performance stability zones
- Clear visualization of efficiency transitions
An interactive dashboard is available in results/interactive_analysis.html
that provides:
- Dynamic exploration of all performance metrics
- Hover information for detailed data points
- Multiple linked views of the optimization results
- Real-time filtering and zooming capabilities
- Maximum Efficiency: 73.0%
- Average Efficiency: 72.6%
- Efficiency Range: 51.3% - 73.0%
-
Optimal Range (15-30 m/s):
- Consistent 73% efficiency
- Stable performance
- Perfect convergence
-
Challenging Points:
- 35 m/s: Efficiency drop to 51.3%
- 5 m/s: Residual error of 2.0528
-
Recovery Range (40 m/s):
- Return to 73% efficiency
- Stable operation
- Good convergence
-
Operating Range:
- Primary operation: 15-30 m/s
- Avoid sustained operation at 35 m/s
- Use caution below 10 m/s
-
Performance Optimization:
- Focus improvements on low flow rates
- Investigate 35 m/s efficiency drop
- Consider additional test points in optimal range
-
Design Considerations:
- Maintain current blade configuration for 15-30 m/s
- Consider geometry modifications for low flow stability
- Investigate blade loading at 35 m/s
For detailed analysis, open the interactive dashboard:
- Navigate to the
results
directory - Open
interactive_analysis.html
in a web browser - Use the interactive features to explore specific operating points
- Export custom views for further analysis