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    Efficient Uncertainty Quantification and Sensitivity Analysis on the Aerothermal Performance of Turbine Blade Squealer Tip 

    Source: Journal of Turbomachinery:;2022:;volume( 144 ):;issue: 005:;page 51014-1
    Author(s): Huang, Ming; Li, Zhigang; Li, Jun; Song, Liming
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: It is important to accurately estimate the impact of flow and geometric variations for engineering design and manufacture. In this paper, an efficient uncertainty quantification analysis framework based on the combination ...
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    Effects of Cooling Configurations on the Aerothermal Performance of a Turbine Endwall With Jet Impingement and Film Cooling 

    Source: Journal of Turbomachinery:;2021:;volume( 143 ):;issue: 006:;page 061013-1
    Author(s): Bu, Hongyan; Guo, Zhendong; Song, Liming; Li, Jun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: With the increase of turbine inlet temperature and the application of premixed combustion, turbine components, particularly the turbine endwall, work in a harsh environment and must be effectively cooled to ensure the ...
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    A Novel Multi-Fidelity Surrogate for Efficient Turbine Design Optimization 

    Source: Journal of Turbomachinery:;2023:;volume( 146 ):;issue: 004:;page 41011-1
    Author(s): Wang, Qineng; Song, Liming; Guo, Zhendong; Li, Jun; Feng, Zhenping
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: To solve the turbine design optimization problems efficiently, surrogate-based optimization algorithms are frequently used. To further reduce the cost of turbine design, the multi-fidelity surrogate (MFS)-based optimization ...
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    Multi Objective Aerodynamic Optimization Design and Data Mining of a High Pressure Ratio Centrifugal Impeller 

    Source: Journal of Engineering for Gas Turbines and Power:;2015:;volume( 137 ):;issue: 009:;page 92602
    Author(s): Guo, Zhendong; Song, Liming; Zhou, Zhiming; Li, Jun; Feng, Zhenping
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An automated threedimensional multiobjective optimization and data mining method is presented by integrating a selfadaptive multiobjective differential evolution algorithm (SMODE), 3D parameterization method for blade ...
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    Research on Metamodel Based Global Design Optimization and Data Mining Methods 

    Source: Journal of Engineering for Gas Turbines and Power:;2016:;volume( 138 ):;issue: 009:;page 92604
    Author(s): Song, Liming; Guo, Zhendong; Li, Jun; Feng, Zhenping
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The turbomachinery cascades design is a typical high dimensional computationally expensive and black box problem, thus a metamodelbased design optimization and data mining method is proposed and programed in this work, ...
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    Experimental and Numerical Study on the Flat-Plate Film Cooling Enhancement Using the Vortex Generator Downstream for the Fan-Shaped Hole Configuration 

    Source: Journal of Turbomachinery:;2020:;volume( 142 ):;issue: 003
    Author(s): Zhang, Chao; Wang, Jie; Liu, Xuebin; Song, Liming; Li, Jun; Feng, Zhenping
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The shaped hole is the significant advancement for improving film cooling that has been practically achieved. This present study puts forward a new design combining the vortex generator (VG) with the shaped hole (FV). To ...
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