Abstract
A multiobjective design optimization method for multistage compressors was developed. Performances of compressors were evaluated by the streamline curvature method, multiobjective genetic Algorithm was used to handle multiobjective design optimization problems. A multiobjective optimization for a two-stage axial-flow compressor design was performed for maximization of the overall adiabatic efficiency and the total pressure ratio. Relative flow angles and solidities at the rotor trailing edges, and absolute flow angles and solidities at the stator trailing edges are considered as design parameters. The present method obtained a set of Pareto-optimal solutions which outperformed the baseline design in both objectives. Detailed observation and analysis of the Pareto-optimal designs confirms the validity of the multiobjective design optimization method.
| Original language | English |
|---|---|
| Pages (from-to) | 230-233 |
| Number of pages | 4 |
| Journal | Tuijin Jishu/Journal of Propulsion Technology |
| Volume | 27 |
| Issue number | 3 |
| State | Published - Jun 2006 |
Keywords
- Axial-flow compressor
- Multiobjective genetic algorithm
- Streamline curvature method