Multi-objective optimization of an axial compressor blade |
| |
Authors: | Abdus Samad Kwang-Yong Kim |
| |
Affiliation: | (1) Department of Mechanical Engineering, Inha University, 253 Yonghyun-Dong, Nam-Gu, Incheon, 402-751, Rep. of Korea |
| |
Abstract: | Numerical optimization with multiple objectives is carried out for design of an axial compressor blade. Two conflicting objectives,
total pressure ratio and adiabatic efficiency, are optimized with three design variables concerning sweep, lean and skew of
blade stacking line. Single objective optimizations have been also performed. At the data points generated by D-optimal design,
the objectives are calculated by three-dimensional Reynolds-averaged Navier-Stokes analysis. A second-order polynomial based
response surface model is generated, and the optimal point is searched by sequential quadratic programming method for single
objective optimization. Elitist non-dominated sorting of genetic algorithm (NSGA-II) with ε-constraint local search strategy
is used for multi-objective optimization. Both objective function values are found to be improved as compared to the reference
one by multi-objective optimization. The flow analysis results show the mechanism for the improvement of blade performance. |
| |
Keywords: | Compressor blade Shape optimization Genetic algorithm Total pressure adiabatic efficiency |
本文献已被 SpringerLink 等数据库收录! |
|