ABSTRACT This paper presents a numerical optimization method to improve the performance of the propeller with Turbo-Ring using real-coded genetic algorithm. In the presented method, Unimodal Normal Distribution Crossover (UNDX) and Minimal Generation Gap (MGG) model are used as crossover operator and generation-alternation model, respectively. Propeller characteristics are evaluated by a simple surface panel method “SQCM” in the optimization process. Blade sections of the original Turbo-Ring and propeller are replaced by the NACA66 a = 0.8 section. However, original chord, skew, rake and maximum blade thickness distributions in the radial direction are unchanged. Pitch and maximum camber distributions in the radial direction are selected as the design variables. Optimization is conducted to maximize the efficiency of the propeller with Turbo-Ring. The experimental result shows that the efficiency of the optimized propeller with Turbo-Ring is higher than that of the original propeller with Turbo-Ring.
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机译：摘要本文提出了一种采用实数编码遗传算法的涡轮优化设计，以提高螺旋桨性能的数值优化方法。在该方法中，单峰正态分布交叉（UNDX）模型和最小生成差距（MGG）模型分别用作交叉算子和生成交替模型。螺旋桨特性在优化过程中通过简单的面板方法“ SQCM”进行评估。原来的涡轮环和螺旋桨的叶片部分已由NACA66 a = 0.8部分取代。但是，径向上的原始弦，偏斜，前角和最大叶片厚度分布不变。选择径向的螺距和最大外倾角分布作为设计变量。通过Turbo-Ring进行了优化以最大化螺旋桨的效率。实验结果表明，采用涡轮环优化的螺旋桨效率要高于采用涡轮环的原始螺旋桨。
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