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机构地区:[1]西安交通大学叶轮机械研究所,西安710049
出 处:《西安交通大学学报》2005年第11期1277-1281,共5页Journal of Xi'an Jiaotong University
基 金:国防科工委航空推进技术验证计划资助项目(APTD-0602-04)
摘 要:以并行自适应差分进化算法为核心,耦合曲面造型方法以及计算流体动力学求解技术,发展了一种适用于叶轮机械三维气动优化设计的全局自动气动优化算法.利用该算法,以等熵效率最高为目标,在满足流量约束的条件下对跨音速扭叶片进行了气动优化设计.对优化结果的详细分析表明,最优叶栅的等熵效率比原始叶栅提高了1.1%,气动性能有显著的改善,算法具有良好的优化性能.在跨音速条件下,载荷分布对叶栅的气动性能有着巨大的影响,采用前加载设计可有效地减弱斜激波的强度,减少激波损失,提高流动效率.因此,通过优化叶栅型线来改变叶栅的载荷分布可有效地提高叶栅的气动性能.A new automatic aerodynamic optimization method combined with the adaptive range differential evolution (ARDE), surface modeling method, and the computational fluid dynamics (CFD) technique, was developed for three-dimensional blade design. A transonic turbine twist blade was optimized for the maximization of the isentropic efficiency with 18 design variables in total using the present design methodology. The optimum design blade shows a better aerodynamic performance than that of the reference design. The isentropic efficiency of the optimum design is 1.1% higher than that of the reference design. The present method has good performance and can be adopted to the aerodynamic optimization. The influence of load distribution for transonic turbine blade was also discussed. The result shows that the frontloaded design for the transonic turbine blade can reduce the intensity of the oblique shockwave and decrease the shock losses. Thus the aerodynamic performance can be improved effectively by optimizing the load distribution of the blade with the variable profile.
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