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流线族(SSL)作为复杂高精度径流式叶轮(RIT)的关键几何元素,对于RIT的建模和气动优化有着非常重要的作用。以RIT的多学科耦合设计为目标,研究了面向型面和特征的联合采集方法以获取RIT表面信息;基于线几何理论,提出了RIT直纹叶片子午流道几何(MS)及直母线矢量(SGVs)的提取方法;探讨了直纹母线矢量的等分算法;研究了可同时控制光顺和逼近程度的叶片型面流线族的拟合方法;建立起以SSL和子午流道几何为参数的径流式叶轮参数化模型,实现对任意RIT样件的SSL自动提取及叶轮的自动参数化建模,通过实例验证了该方法的有效性和可行性。
Streamline family (SSL), as the key geometric element of complex high precision radial turbine (RIT), plays a very important role in modeling and aerodynamically optimizing RIT. With RIT’s multi-disciplinary coupling design as the goal, a joint acquisition method based on profile and feature was studied to obtain the RIT surface information. Based on the line geometry theory, the RIT ruled blade meridional geometry (MS) and straight bus vector SGVs). The algorithm of aliasing of straight-line generatrix vector is discussed. The fitting method of streamline streamline family which can control smoothness and approximation degree is studied. The radialized impeller parametric model is used to realize the automatic extraction of SSL and the automatic parameterization of the impeller for any RIT sample. The effectiveness and feasibility of the method are verified by an example.