Abstract
The second stage stator which was parameterized applying NURBS (Non-Uniform Rational B-Spline) in a two stage fan was optimized by using artificial neural network. The flow field of the optimized stator was improved at the off-design condition from hub to mid. The total pressure recovery coefficient of the stator increased. Total pressure ratio of the fan was improved and adiabatic efficiency kept the same. The result shows that this method could improve stator blade efficiently and can be used in stator design as a new optimization method.
| Original language | English |
|---|---|
| Pages (from-to) | 576-580 |
| Number of pages | 5 |
| Journal | Tuijin Jishu/Journal of Propulsion Technology |
| Volume | 30 |
| Issue number | 5 |
| State | Published - Oct 2009 |
Keywords
- Aircraft engine
- Artificial neural network
- Blade
- Fan
- Optimum design