Shape optimization of supersonic turbines using global approximation methods

Journal of Propulsion and Power

Volumn 18, Issue 3, 2002, Pages 509-518

  Papila, Nilay ^a   Shyy, Wei ^a   Griffin, Lisa ^b   Dorney, Daniel J ^b  

^a UNIVERSITY OF FLORIDA   (United States)

^b NASA MARSHALL SPACE FLIGHT CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; GLOBAL OPTIMIZATION; NEURAL NETWORKS; SPACECRAFT PROPULSION; STRESS ANALYSIS; TURBINES;

OPTIMAL DESIGN;

SUPERSONIC AERODYNAMICS;

EID: 0036564315     PISSN: 07484658     EISSN: None     Source Type: Journal    
DOI: 10.2514/2.5991     Document Type: Article

References (41)

1. Design optimization of axial flow compressor blades with three-dimensional Navier-Stokes solver
2. Continuous adjoint sensitivities for general cost functionals on unstructured meshes in aerodynamic shape optimization
3. Toward improved rotor-only axial fans-Part II: Design optimization for maximum efficiency
4. Three-dimensional automatic optimization method for turbomachinery blade design
5. Performance comparison study of an improved genetic algorithm applied to an aerodynamic design
6. Three-dimensional blade design by means of an artificial neural network and Navier-Stokes solver
7. Global design optimization for aerodynamics and rocket propulsion components
8. Response surface and neural network techniques for rocket engine injector optimization
9. Global design optimization for fluid machinery applications
10. Multidisciplinary aerospace design optimization: Survey of recent developments
11. Preliminary design optimization for a supersonic turbine for rocket propulsion
12. Orthogonal arrays for: Computer experiments, integration and visualization
13. Response surface model building and multidisciplinary optimization using D-optimal designs
14. Assessment of neural net and polynomial-based techniques for aerodynamic applications
15. Response surface techniques for diffuser shape optimization
16. An integrated design/optimization methodology for rocket engine injectors
17. Application of artificial neural networks to the design of turbomachinery airfoils
18. Aerodynamic design using neural networks
19. Neural network-based and response surface-based optimization strategies for rocket engine component design
20. 2-D high-lift aerodynamic optimization using neural networks
21. Statistics and graphics guide
22. Optimization and experiments: A survey
23. RLV turbine performance optimization
24. Simulations of the unsteady flow through the fastrac supersonic turbine
25. Detailed aerodynamic design optimization of an RLV turbine
26. Computational analysis for rocket-based combined-cycle systems during rocket-only operation
27. Influence from numerical noise in the objective function for flow design optimization