基于iSIGHT平台的翼型水动力优化  

Hydrodynamic optimization of 2D airfoil based on iSIGHT platform

作　　者：马艳[1] 庞永杰[2] 范亚丽[1] 

机构地区：[1]中国船舶科学研究中心,江苏无锡214082 [2]哈尔滨工程大学水下机器人重点实验室,哈尔滨150001

出　　处：《船舶力学》2011年第8期867-873,共7页Journal of Ship Mechanics

摘　　要：基于iSIGHT设计平台,结合计算流体力学软件Fluent对二维翼型NACA0012进行了多目标优化设计,以提高其水动力性能。设计过程中以雷诺平均Navier-Stokes方程为主控方程,采用了邻域培植遗传算法(NCGA)和非支配解排序遗传算法(NSGA-Ⅱ)为优化算法,对二维翼型进行优化。优化结果表明,翼型的水动力性能有了明显提高,其升力系数提高,升阻比提高,最小压力系数上升,上表面峰值减小。该优化方法可以推广到多种翼型,对于船用翼的研究都有一定的意义。A method of combining the CFD software—Fluent,with iSIGHT design platform was presented to optimize two-dimensional airfoil NACA0012 to improve its hydrodynamic performance.During the optimization,two kinds of the genetic algorithm（GA）,the NCGA（neighborhood cultivation GA） and the NSGA-Ⅱ（non-dominated sorting GA） were employed and the Reynolds-averaged Navier-Stokes equations were adopted as the master equations of two-dimensional airfoil optimization.The optimization results showed that the hydrodynamic performance of the optimized airfoil was significantly improved,including its lift coefficient increased,lift-drag ratio increased,the minimum of pressure coefficients rising,the peak of upper surface decreased.The optimization method can be extended to a wide range of airfoils,and has great significance for the research of the marine airfoils.

关 键 词：多目标优化 NAVIER-STOKES方程 遗传算法 水动力性能 

分 类 号：O351.2[理学—流体力学] TP391.77[理学—力学]