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    • Multi-Objective Optimization of a Double-Wall Cooling Structure for Overall Cooling Effectiveness and Relative Pressure Drop
    DOI：10.13949/j.cnki.nrjgc.2023.03.012
    Key Words:double-wall cooling structure  overall cooling effectiveness  relative pressure drop  genetic optimization algorithm
    Author NameAffiliationE-mail
    WANG Chen* College of Energy and Environment， Zhongyuan University of Technology， Zhengzhou 451191， China wangchen4520@163.com 
    ZHANG Jingzhou Jiangsu Province Key Laboratory of Aerospace Power Systems， College of Energy and Power Engineering， Nanjing University of Aeronautics and Astronautics， Nanjing 210016， China  
    WANG Chunhua Jiangsu Province Key Laboratory of Aerospace Power Systems， College of Energy and Power Engineering， Nanjing University of Aeronautics and Astronautics， Nanjing 210016， China  
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    Abstract:In a typical combustion chamber environment， the overall cooling effectiveness and relative pressure drop of a specific double-wall cooling structure were set as the optimization indicators， and the mathematical model was built by radial basis function neural network. Through a genetic optimization algorithm， multi-objectives optimization were achieved to improve its aerodynamic and heat transfer performance. Within the given parameter range of the double-wall cooling structure， the overall cooling effectiveness of double-wall cooling structure is optimized to 0.89 for the maximum comprehensive cooling efficiency index， and the relative pressure drop of double-wall cooling structure can be reduced to 0.17% for the minimum relative pressure drop index.
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