上海交通大学学报(自然版) ›› 2013, Vol. 47 ›› Issue (06): 878-883.

• 交通运输 • 上一篇    下一篇

一种抗空化翼型修形设计方法

  

  1. (1.海军工程大学 舰船工程系, 武汉 430033; 2.91388部队95分队, 广东 湛江 524002)
  • 收稿日期:2012-05-02
  • 基金资助:

    国家自然科学基金(51079157),海洋工程国家重点实验室(上海交通大学)研究基金(1106)资助项目

A Reshaping Method for Anticavitating Hydrofoil Design
 
 

WU Wei1,2,XIONG Ying1
  

  1. (1.Department of Naval Engineering, Naval University of Engineering, Wuhan 430033, China;
    2. Unit 95, PLA 91388, Zhanjiang 524002, Guangdong, China)
  • Received:2012-05-02

摘要:

为提高水翼抗空化性能,对二维翼型的吸力面外形进行适当改造.通过集成几何参数化技术、面元法和优化算法构建了翼型抗空化优化设计方法.翼型的修形采用在吸力面上设立一段拱弧的方法,并运用三次B样条对翼型进行了参数化表达.在某一工况下,以面元法预报的翼型性能参数作为遗传算法建立目标函数的依据,进行了针对NACA0010翼型上设立拱弧的最佳参数的单一目标和多目标寻优.同时运用雷诺平均纳维艾斯托克斯方法结合RNG k-ε(Renormalization group k-ε)湍流模型对原翼型及改型的空化流场进行瞬态模拟,对比了气体体积分数云图的差异.结果分析表明.修改的翼型较原型对空化的发展有一定抑制作用,达到了预期目的.
 
 

关键词: 翼型设计, 空化, 三次B样条, 面元法, 遗传算法

Abstract:

In order to improve the anti-cavitating performance of the hydrofoil, the suction side of the two-dimensional foil was transformed. By integrating the technology of the geometric parameterization with the panel method and the optimization algorithm, the hydrofoil was reconstructed with anti-cavitating consideration. The modification was achieved by setting up a vaulting barrier on the suction side of the section and using cubic B-spline to parameterizedly express the shape. The basis data for the genetic algorithm objective function which was founded for the NACA0010 airfoil optimization, were accessed by the panel method program in forecasting the foil performance under a certain condition. The instantaneous simulation of the prototype and the modified foil flow with cavitating were conducted by using RANS method and RNG k-ε turbulence model. The differences between the contours of gas volume fraction, which reflects the degree of foil in cavitating, were acquired. The result confirmed the intended purpose of the modification. This hydrofoil design method provided reference for the three-dimensional hydrofoil design.

 

Key words: hydrofoil design, cavitation, cubic B-spline, panel method, genetic algorithm

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