| 粒子群算法在翼型剖面优化中的应用 |
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| 引用本文： | 许卫宝,王超,何宝,黄胜,周斌.粒子群算法在翼型剖面优化中的应用[J].船舶力学,2011,15(6):598-604. |
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| 作者姓名： | 许卫宝 王超 何宝 黄胜 周斌 |
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| 作者单位： | 哈尔滨工程大学,船舶工程学院,哈尔滨,150001;中国船舶科学研究中心,江苏无锡,214082 |
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| 基金项目： | Supported by the National Natural Science Foundation of China under Grant No.10702016; the Fundamental Research Funds for the Central University under Grant No.HEUCFT1001 |
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| 摘 要： | 为设计出具有良好升阻比性能的翼型剖面,采用智能优化领域新兴的粒子群优化算法(PSO)结合面元法对翼型进行优化设计。文中给出了PSO算法的数学模型及其在翼型优化设计中的主要计算过程,并以Naca66mod翼型为原型进行设计。获取了翼型优化过程中每一步处的翼型剖面形状、翼型表面压力系数分布以及翼型的升力系数、阻力系数和最大厚度比,结果分析表明经过优化后的翼型与原型相比,具有升力系数增加,阻力系数减小这一有利的特征改变。同时采用CFD方法对两种翼型进行数值模拟计算,获得同上的结论,进而验证了PSO方法在翼型优化设计中的可行性。
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| 关 键 词： | 翼型剖面优化 粒子群优化算法 升阻比 压力系数分布 |
Application of Particle Swarm Optimization Theory in the Hydrofoil Design |
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| XU Wei-bao,WANG Chao,HE Bao,HUANG Sheng,ZHOU Bin.Application of Particle Swarm Optimization Theory in the Hydrofoil Design[J].Journal of Ship Mechanics,2011,15(6):598-604. |
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| Authors: | XU Wei-bao WANG Chao HE Bao HUANG Sheng ZHOU Bin |
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| Institution: | XU Wei-bao1,WANG Chao1,HE Bao2,HUANG Sheng 1,ZHOU Bin2(1 College of Shipbuilding Engineering,Harbin Engineering University,Harbin 150001,China,2 China Ship Scientific Research Center,Wuxi 214082,China) |
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| Abstract: | In order to design the hydrofoil section with good lift-drag ratio performance,the new particle swarm optimization(PSO) arithmetic of the intelligent optimized field was adopted combined with panel method.In this paper,the mathematical model and main process of the PSO arithmetic which was used in optimization design of the hydrofoil were given,moreover the validate calculation to the aerofoil of NACA66mod was did.Meanwhile,the hydrofoil section shape and pressure coefficient distribution and lifting coeffi... |
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| Keywords: | hydrofoil section optimization particle swarm optimization arithmetic lift-drag ratio pressure coefficient distribution |
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