低压汽轮机运动叶片的数字复制品。利用机器人辅助光学扫描对几何和机械质量要求进行评估

F. Popig
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引用次数: 0

摘要

汽轮机主要用作发电机应用的直接驱动器,为区域电网生产电力。为了保证汽轮机在全寿命期内的安全运行,减小转子的不平衡和避免叶片在运行速度下的振动是非常重要的。减少不平衡的一项措施是规定最后一级动叶排的装配顺序。在最后的检验过程中,通过实验确定了每个叶片所需的质量和重心。通过设计独立的末级运动叶片,使其在特定速度范围内无共振,可以避免在固定转速下的末级叶片振动。然而,独立叶片的缺点是,由于失谐效应,在单叶片模态定位和振幅放大方面,对颤振的发生和强迫响应限制的敏感性增加。这些缺点以及在特定速度范围内不发生共振的要求导致了质量要求,这些要求定义了叶片的特征频率和静止时叶片排的失谐模式。在终检过程中,通过试验台架上的冲击锤模态试验确定了叶片的特征频率。除了力学要求外,制造的叶片还必须满足几何要求。为此目的,对制造的叶片的几何特征和参数进行检查,并且必须在规定的几何公差范围内。通常几何特征是检查在局部检查部分关于叶片的根和翼型使用坐标测量机。另一种方法是光学测量,可以实现制造的3D部件的数字化和基于数字复制品的几何特征检查。此外,数字复制品可用于计算叶片的特征频率以及质量和重心。本文研究了基于机器人辅助光学扫描的末级运动叶片几何特征、参数及力学性能的最终检测。测量使用自动机器人辅助扫描方法,采用新开发的模块化参考框架和高速光学扫描系统。一方面,将基于得到的几何模型的叶片翼型几何检测与相应的三坐标测量进行了比较。另一方面,利用光学测量结果,通过有限元数值分析确定叶片的本征频率、质量和重心。为此,提出了一种利用光学扫描数据与标称设计CAD几何形状之间的偏差,利用网格变形算法来适应离散标称CAD几何形状的有限元网格的方法。最后,将数值预测结果与实验得到的特征频率和静矩进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Replicas of Low Pressure Steam Turbine Moving Blades - Assessment of Geometrical and Mechanical Quality Requirements Using Roboter-Assisted Optical Scanning
Steam turbines are primarily used as direct drives for generator applications to produce electrical power for regional grids. To ensure the safe operation of the steam turbine during the entire lifetime it is important to minimize the unbalance of the rotor and to avoid blade vibrations at operational speed. One measure to minimize the unbalance is the specification of an assembling order of the last stage moving blade row. The required mass and center of gravity of each blade are experimentally determined during the final inspection process. The avoidance of last stage blade vibrations at fixed rotational operating speeds is achieved by designing the freestanding last stages moving blades to be free of resonances in a specific speed range. Nevertheless, the disadvantages of freestanding blades are the increased sensitivity to both the occurrence of flutter and forced response limitation in terms of mode localization and amplitude magnification of single blades due to mistuning effects. Those disadvantages as well as the requirement that no resonances shall occur in a specific speed range lead to quality requirements that define the blades’ eigenfrequencies and the blade row’s mistuning pattern at standstill. The blade eigenfrequencies are experimentally determined during the final inspection process via modal testing with an impact hammer in a test bench facility. Besides the mechanical requirements the manufactured blades have to fulfill geometrical requirements. For this purpose, geometrical features and parameters of the blades as manufactured are inspected and have to be within the defined geometrical tolerances. Commonly geometrical features are inspected at local inspection sections regarding the blade’s root and airfoil using a coordinate measurement machine. An alternative approach is an optical measurement that enables the digitalization of manufactured 3D parts and the inspection of geometrical features based on digital replicas. Furthermore, the digital replicas can be used to calculate the blades’ eigenfrequencies as well as mass and center of gravity. The presented paper addresses the final inspection of geometrical features and parameters as well as mechanical properties of last stage moving blades based on roboter-assisted optical scanning. The measurements are performed using an automated roboter-assisted scanning approach with a newly developed modular reference frame and a high-speed optical scanning system. On the one hand the blade airfoil geometrical inspection based on the obtained geometrical replica is compared to the corresponding CMM-measurements. On the other hand, the optical measurements are used to determine the blades’ eigen-frequencies, mass and center of gravity numerically via Finite Element Analyses. Therefore, an approach is presented that uses a mesh-morphing algorithm to adapt the FE-mesh of the dis-cretized nominal CAD geometry by means of deviations between the optical scan data and nominal designed CAD geometry. Finally, the numerically predicted results are compared to experimentally obtained eigenfrequencies and static moments.
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