The multi-objective design optimization of cooling turbine blade is studied using Kriging model. The optimization model is created, with the diameter of pin fin at the trailing edge of cooling turbine blade and the location, width, height of rib as design variable, the blade body temperature, flow resistance loss and aerodynamic efficiency as optimization object. The sample points are selected using Latin hypercube sampling technique, and the approximate model is created using Kriging method, the set of Pareto-optimal solutions of optimization objects is obtained by the multi-object optimization model using elitist non-dominated sorting genetic algorithm (NSGA-II) based on the approximate model. The result shows that the conflict among all optimization objects is solved effectively and the feasibility of the optimization method is improved.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multi-Objective Design Optimization of Cooling Turbine Blade Based on Kriging Model


    Contributors:
    Ao, Liang Bo (author) / Li, Lei (author) / Li, Yuan-Sheng (author) / Wen, Zhi-Xun (author) / Yue, Zhu-Feng (author)


    Publication date :

    2012


    Size :

    4 Seiten




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Multi-Objective Kriging-Based Optimization for High-Fidelity Wind Turbine Design

    Zuhal, Lavi R. / Faza, Ghifari A. / Palar, Pramudita S. et al. | AIAA | 2019


    MULTI-OBJECTIVE AERODYNAMIC OPTIMIZATION DESIGN OF MULTI-ELEMENT AIRFOIL USING KRIGING MODEL

    Xu, R.F. / Qian, R.Z. / Lei, W. et al. | British Library Conference Proceedings | 2012



    Designing Turbine Blade Internal Cooling Passages Using Response Surface and Kriging Methodologies

    Donahoo, E. E. / Simpson, T. / American Institute of Aeronautics and Astronautics et al. | British Library Conference Proceedings | 2000