Method to Improve Propeller Performance Using Real-coded Genetic Algorithm
Method to Improve Propeller Performance Using Real-coded Genetic Algorithm
复制标题
利用实数编码遗传算法提高螺旋桨性能的方法
DOI：
10.5988/jime.46.289
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Tomohiro Ryu
中科院分区：
文献类型：
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作者：
J. Ando;S. Kataoka;Tomohiro Ryu
提出了一种基于实数编码遗传算法的螺旋桨性能优化方法。在该方法中，UNDX（单峰正态分布交叉）和MGG（最小代沟）模型分别作为交叉算子和世代交替模型。在优化过程中，螺旋桨性能的评估采用了一种简单的面元法（SQCM）。原螺旋桨的桨叶截面由NACA66 a=0.8截面代替。然而，径向方向上的原始弦、偏斜、前角和最大叶片厚度分布不变。选择径向上的节距和最大拱度分布以及弦向上的最大拱度位置作为设计变量。在保持目标推力系数不变的情况下，进行最大化螺旋桨效率的优化。空化性能也被认为是一个约束条件。利用本方法改进了成品油轮和货船的螺旋桨。对改进前后的螺旋桨进行了开桨试验和空泡试验。经证实，这两种改进的螺旋桨与原始螺旋桨相比具有更高的效率。试验结果表明，改进后的螺旋桨具有良好的空泡性能。
This paper presents a numerical optimization method to improve propeller performance using real-coded genetic algorithm. In the method presented, UNDX (Unimodal Normal Distribution Crossover) and MGG (Minimal Generation Gap) models are used as crossover operator and generation-alternation models, respectively. Propeller performance is evaluated by a simple surface panel method “SQCM” in the optimization process. The blade section of the original propeller is 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 and the position of maximum camber in the chord wise direction are selected as the design variables. Optimization is conducted to maximize the propeller efficiency while keeping the target thrust coefficient constant. Cavitation performance is also considered as a constraint condition. Propellers for a product tanker and a cargo ship were improved by utilizing the present method. Propeller open tests and cavitation tests of the original and improved propellers were carried out. It was confirmed that both improved propellers had higher efficiencies compared to those of the original propellers. It was also found that both cavitation performances of the improved propellers are permissible.