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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:《机械工程学报》2009年第9期109-113,共5页Journal of Mechanical Engineering
摘 要:为提高叶栅的气动性能,提出基于能量法的叶栅自动设计参数化方法,结合自适应差分进化算法和Reynolds-Averaged Navier-Stokes (RANS)方程求解技术,提出适用于透平叶栅气动优化设计的自动气动优化算法。以总压恢复系数最高为目标函数,在满足流量和出口气流角约束条件下,利用提出的气动优化算法对一小展弦比后加载叶栅进行了自动气动优化设计。优化后,叶栅的总压恢复系数提高了0.7%,叶栅的气动性能明显提高。优化结果表明该算法具有良好的优化性能和应用前景。A new automatic design parameterization method of the turbine cascade is proposed based on the energy optimization method for 2D blade profile. Combined with the automatic design parameterization method, the parallel adaptive range differential evolution algorithm and Reynolds-Averaged Navier-Stokes (RANS) solver technique, an automatic aerodynamic optimization method is developed. An aft-loaded cascade is optimized for the maximization of the total pressure coefficient. The total pressure coefficient of the optimum design has 0.7% higher than that of the reference cascade. The optimal design blade shows a better aerodynamic performance than that of the reference design. The excellent optimization performance and application prospect of the presented methodology are also indicated.
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