Application of multipoint optimization to the design of turbomachinery blades

Proceedings of the ASME Turbo Expo 2004

Volumn 5 B, Issue , 2004, Pages 1481-1490

  Demeulenaere, Alain ^a   Ligout, Alban ^a   Hirsch, Charles ^b  

^a Numeca International   (Belgium)

^b VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER AIDED DESIGN; DATABASE SYSTEMS; GENETIC ALGORITHMS; NEURAL NETWORKS; ROTORS; SIMULATED ANNEALING;

DESIGN COMPLEXITY; FLOW-FIELD BOUNDARY CONDITIONS; GEOMETRY PARAMETRIZATION;

TURBOMACHINE BLADES;

EID: 10244222290     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/gt2004-53110     Document Type: Conference Paper

References (8)

1. Dang, T.Q., Nerurkar, A. & Reddy, N., 1997, "Design Modification of Rotor67 by 3D Inverse Method", ASME Paper 97-GT-484
2. Deb, 2001, "Multi-objective Optimization using Evolutionary Algorithms, Chichester, UK, Wiley
3. Demeulenaere, A., & VandenBraembussche, R., 1996, 'Three-Dimensional Inverse Method for Turbomachinery Blading Design », ASME Paper 96-GT-039
4. Goldberg, D.E., "Genetic Algorithm". Addison Wesley (1994).
5. S. Kang, Ch. Hirsch, 1999, "Effect of flow rate on the development of three-dimensional flow in NASA LSCC impeller, based on numerical solutions, ISABE Paper No. 99-7225.
6. Krose, B, VanderSmagt, P., 1993, "An Introduction to Neural Networks", University of Amsterdam
7. Pierret, S., Demeulenaere, A., Gouverneur, B., Hirsch, C., "Designing Turbomachinery Blades with the Function Approximation Concept and the Navier-Stokes Equations", 8th AIAA/NASA/USAF/ISSMO Symposium on MDO, Long Beach, CA (2000).
8. Vanderplaats, G.N., "Numerical optimization techniques for engineering design", McGraw-Hill (1984)