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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Wang, Xiangfeng Wang, Songtao Han, Wanjin |
| Copyright Year | 2008 |
| Abstract | The paper describes a new optimization system for computationally expensive design optimization problems of turbomachinery, combined with design of experiment (DOE), response surface models (RSM), multi-objective genetic algorithm (MOGA) and a 3-D Navier-Stokes solver. A flow field solver code was developed based on three dimensional Navier-Stokes equations and validated by comparing computation results with experimental data. The improved non-dominated sorting genetic algorithm (NSGA-II) was used to solve the multi-objective problems. A constraint handling method without penalty function used to treat constrained optimization problems was improved and applied to constrained multi-objective problems. Data points for response evaluations were selected by the improved-hypercube sampling (IHS) algorithm and 3-D Navier-Stokes analysis was carried out at these sample points. The quadratic response surface model was used to approximate the relationships between the design variables and flow parameters. The genetic algorithm was applied to the response surface model to perform global optimization and obtain the optimum design. The above optimization method was applied to aerodynamic redesign of NASA Rotor37 with camber line and thickness distribution, the objects were to maximize the total pressure ratio and the adiabatic efficiency. Results showed the adiabatic efficiency improved by 0.7% and the total pressure by 0.66%. The multi-objective optimization design method is feasible. |
| Starting Page | 25 |
| Ending Page | 32 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780791848661 |
| DOI | 10.1115/IMECE2008-66345 |
| e-ISBN | 9780791838402 |
| Volume Number | Volume 5: Design, Analysis, Control and Diagnosis of Fluid Power Systems |
| Conference Proceedings | ASME 2008 International Mechanical Engineering Congress and Exposition |
| Language | English |
| Publisher Date | 2008-10-31 |
| Publisher Place | Boston, Massachusetts, USA |
| Access Restriction | Subscribed |
| Subject Keyword | Navier-stokes equations Design methodology Nasa Rotors Pareto optimization Turbomachinery Compressors Response surface methodology Flow (dynamics) Pressure Optimization Genetic algorithms Design Algorithms Computation |
| Content Type | Text |
| Resource Type | Article |
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