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Combination of Natural and Numerical Optimization Methods at the Example of an Internal Gas Turbine Cooling Channel

  • Helga Steinbrück
  • Sebastian Zehner
  • Bernhard Weigand
  • Sven Olaf Neumann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5199)

Abstract

Iceformation phenomena can be observed in many natural and technical processes. A naturally grown ice layer aspires in steady state to a minimum of energy dissipation. Driven by this goal, this phenomena can be used to optimize complex geometric configurations in a natural manner. But since this state of minimum energy dissipation is seldom the desired goal function in technical applications, this natural experimental optimization method is combined with a subsequent classical numerical optimization using evolutionary algorithms at the example of an internal cooling channel of a gas turbine blade.

Keywords

Pressure Drop Design Variable Design Space Numerical Optimization Separation Bubble 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    CAOtec Software GmbH: CAOneTM, Version 3.1.3, http://www.caotec.com
  2. 2.
    Deb, K.: Optimization for Engineering Design – Algorithms and Examples. Prentice-Hall of India Private, Limited, New Delhi (1995)Google Scholar
  3. 3.
    Deb, K.: Multi-Objective Optimization using Evolutionary Algorithms. John Wiley and Sons LTD, Chichester (2002)Google Scholar
  4. 4.
  5. 5.
    Farin, G.E.: Kurven und Flächen im Computer Aided Design, Vieweg (1993)Google Scholar
  6. 6.
    FLUENT Inc., Fluent 6.1 User’s Guide Volume 2 (2003)Google Scholar
  7. 7.
    Hoffmeister, F., Bäck, T.: Genetic Algorithms and Evolution Strategies: Similarities and Differences; Parallel Problem Solving from Nature. In: Schwefel, H.-P., Männer, R. (eds.) PPSN 1990. LNCS, vol. 496, pp. 455–466. Springer, Heidelberg (1991)CrossRefGoogle Scholar
  8. 8.
    Idelchik, I.E.: Handbook of Hydraulic Resistance, 3rd edn. Begell House, New York (1996)Google Scholar
  9. 9.
    LaFleur, R.S.: Evolution theory for optimal control of a Couette iceform design model. Int. J. Heat Mass. Transfer 35(10), 2617–2629 (1992)CrossRefGoogle Scholar
  10. 10.
    LaFleur, R.S., Langston, L.S.: Drag Reduction of a Cylinder/Endwall Junction Using the Iceformation Method. Journal of Fluids Engineering 115, 26–32 (1993)CrossRefGoogle Scholar
  11. 11.
    May, R.M.: Exploration of Ecological Systems. Scientific American 239(3), 160–175 (1978)CrossRefGoogle Scholar
  12. 12.
    Metzger, D.E., Plevich, C.W., Fan, C.S.: Pressure loss through sharp 180-deg turns in smooth rectangular channels. Transactions of the ASME, Journal of Engineering for Gas Turbines and Power 106, 677–681 (1984)CrossRefGoogle Scholar
  13. 13.
    Pierret, S., Van den Braembussche, R.A.: Turbomachinery Blade Design Using a Navier-Stokes Solver and Artificial Neural Network. Journal of Turbomachinery 121, 326–332 (1999)CrossRefGoogle Scholar
  14. 14.
    Sastry, K., Goldberg, D., Kendall, G.: Genetic Algorithms. In: Burke, E.K., Kendall, G. (eds.) Search Methodologies, Introductory Tutorials in Optimization and Decision Support Techniques. Springer, Heidelberg (2005)Google Scholar
  15. 15.
    Selmin, V.: Direct Optimization of Transonic Airfoils. In: Periaux, J., Bugeda, G., Chaviaropolulos, P.K., Labrujere, T., Stoufflet, B. (eds.) EUROPT – A European Initiative on Optimum Design Methods in Aerodynamics, Vieweg (1997)Google Scholar
  16. 16.
    Sommerer, A.: Numerische Optimierung adaptiver transsonischer Profile; Dissertation, Institute of Aerodynamics and Gasdynamics, Universität Stuttgart (2005)Google Scholar
  17. 17.
    Steinbrück, H., Zehner, S., Weigand, B., Neumann, S.O., Gier, J.: Optimization of the Web Geometry of a 180-Degree Bend Using an Experimentally Determined Ice Layer as Starting Contour: Part 2 – Numerical Simulation and Optimization. In: Proceedings of ISROMAC12, Honolulu, USA ISROMAC12-2008-20053 (2008)Google Scholar
  18. 18.
    Zehner, S., Steinbrück, H., Weigand, B., Neumann, S.O., Gier, J.: Optimization of the Web Geometry of a 180-Degree Bend Using an Experimentally Determined Ice Layer as Starting Contour: Part 1 – Experimental Results. In: Proceedings of ISROMAC12, Honolulu, USA SROMAC12-2008-20049 (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Helga Steinbrück
    • 1
  • Sebastian Zehner
    • 1
  • Bernhard Weigand
    • 1
  • Sven Olaf Neumann
    • 1
  1. 1.Institut für Thermodynamik der Luft– und RaumfahrtUniversität StuttgartStuttgartGermany

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