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建立涡轮叶片型线的参数化模型是进行叶片设计优化的前提和关键。基于三次贝赛尔曲线,充分利用叶片的基本几何参数,详细地推导了叶片型线方程,建立了涡轮叶片型线的参数化模型。基于建立的参数化模型,采用粒子群优化算法来重构实际涡轮叶片型线,给出了具体计算步骤。结果表明:建立的参数化叶片模型光滑性质量高,且具有很好的形状控制能力,可以快速地修改设计参数并再生模型。基于粒子群优化算法重构叶型的方法可以快速准确地重构实际涡轮叶片型线,为涡轮叶片叶型的设计优化奠定了重要基础。
Establishing a parametric model of turbine blade profile is the prerequisite and key to blade design optimization. Based on cubic Bezier curve, taking full advantage of the basic geometric parameters of the blade, the blade profile equation is deduced in detail and a parametric model of the turbine blade profile is established. Based on the established parametric model, particle swarm optimization algorithm is used to reconstruct the actual turbine blade profile, and the specific calculation steps are given. The results show that the established parameterized blade model has high smoothness and good shape control ability, and can quickly modify the design parameters and regenerate the model. The particle swarm optimization (PSO) algorithm can reconstruct the actual turbine blade profile quickly and accurately, which lays an important foundation for the design optimization of the turbine blade.