The invention discloses a low-Reynolds-number propeller aerodynamic performance evaluation method combined with machine learning, and belongs to the technical field of aerodynamics. In order to solve the problem of low performance evaluation efficiency of the high-altitude low-Reynolds-number propeller, working environment parameters and appearance parameters of the propeller at different blade element positions are collected, and blade element Reynolds numbers, blade element Mach numbers and blade element attack angle ranges at different positions of propeller blades are estimated; a Latin hypercube test design sampling method is adopted for sampling, a high-precision numerical simulation or wind tunnel test method is adopted for obtaining aerodynamic performance data of sampling points, and a data sample set is constructed for machine learning training based on Gaussian process regression. And the obtained model is used for rapidly predicting the aerodynamic performance of the blade element of the propeller in different parameter states, outputting the aerodynamic performance prediction result of the blade element, and calculating and solving the aerodynamic performance of the high-altitude low-Reynolds-number propeller through a strip method. The evaluation precision is improved.

    一种结合机器学习的低雷诺数螺旋桨气动性能评估方法,属于空气动力学技术领域。为解决高空低雷诺数螺旋桨性能评估效率低的问题,本发明采集工作环境参数和不同叶素位置的螺旋桨的外形参数,估算螺旋桨叶片不同位置的叶素雷诺数、叶素马赫数和叶素迎角范围;采用拉丁超立方试验设计采样方法进行采样,采用高精度数值模拟或风洞试验方法获得采样点的气动性能数据,构建数据样本集基于高斯过程回归对数据样本集进行机器学习训练,并将得到的模型用于螺旋桨不同参数状态下叶素的气动性能快速预测,输出叶素的气动性能预测结果通过片条法计算求解高空低雷诺数螺旋桨气动性能。本发明提高评估精度。


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    Title :

    Low-Reynolds-number propeller aerodynamic performance evaluation method combined with machine learning


    Additional title:

    一种结合机器学习的低雷诺数螺旋桨气动性能评估方法


    Contributors:
    LEE JE-JIN (author) / GE ZIYU (author) / CUI RONGFENG (author) / YANG LONG (author)

    Publication date :

    2024-08-16


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B64F GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT , Boden- oder Flugzeugträgerdeckeinrichtungen besonders ausgebildet für die Verwendung in Verbindung mit Luftfahrzeugen



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