基于CMM测量的航空发动机叶片型面误差分离技术

针对三坐标测量机检测叶片型面数据处理的关键问题，提出一种叶片型面误差分离方法。采用等高法测量叶片，给出了叶片型面公差评估指标的计算方法和误差分离的原则与步骤。在数据处理时采用最小区域法对测量点和理论截面轮廓线对应点进行匹配，建立了匹配目标函数，采用DFP变尺度算法对其求解，并通过第2次匹配消除建立坐标系误差的影响，以分离出叶片型面线轮廓度误差、扭转误差和位置度误差来判定叶片型面误差是否合格。最后通过实例证明了该方法的实用性和有效性。

Error Separation Techniques for Aero-engine Blade Surface Based on the Measurement of CMM

 Aiming at the key problem for measuring of coordinate measuring machine (CMM) of the aero engine blade surface data processing, a kind of error separation method for blade surface was proposed. The contour measurement method was used for measuring the blade, and calculation method of blade surface tolerance evaluation index, principles and procedures of the error separation techniques were given. In order to separate the curve profile error of blade surface, torsion error and position error which are from the comprehensive error to determine the blades whether were qualified, the minimum zone method was used for matching the measurement points and the theoretical cross section contour corresponding points in the data processing The matching objective function and solving steps were established and DFP variable dimension algorithm was used to solve it. The influence of establishing coordinate system error was eliminated through the second match.Finally, the examples showed the method was valid and practical.