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基于iSIGHT平台的翼型水动力优化 被引量:11

Hydrodynamic optimization of 2D airfoil based on iSIGHT platform
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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.
出处 《船舶力学》 EI 北大核心 2011年第8期867-873,共7页 Journal of Ship Mechanics
关键词 多目标优化 NAVIER-STOKES方程 遗传算法 水动力性能 multi-objective optimization Navier-Stokes equations genetic algorithm hydrodynamic performance
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