Aiming at such blade features as thin wall, mutability, and vulnerability, this paper proposes a quick and reliable measuring method, which has significantly improved the accuracy and efficiency of blade measurement. Using conoscopic polarization holography, the proposed method is able to eliminate the influences of significant change in the curvature of blade profile, thus realizing the efficient collection of data. Then, through the accurate registration based on a K-dimensional tree (KD-tree), the error distribution and the deviations of relevant geometric parameters of blade profile are obtained, providing reliable data for the accurate adjustment of precision machining parameters. The experimental results show that the efficiency and accuracy of the proposed method are improved significantly with a measuring repeatability of <8 μm and a measuring time of about 5 min.
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