基于拐点检测的椭圆弧叶型前后缘评定算法

doi:10.7527/S1000-6893.2015.0247

Abstract

Abstract:

The shape and position of blade leading and trailing edge have a significant impact on blade aerodynamic performance, and the result of segmentation seriously affects the precision calculation of characteristic parameters. Most existing segmentation algorithms of finding the location of leading and trailing edges are based on implementation and improvement of the extension algorithm; however, the extension algorithm could not adapt itself to the blade section size. What's more, subsequent improved algorithms on the contour error control remain to be strengthened. Aimed at segmentation problem of leading and trailing edges of the blade section line, an evaluation algorithm of leading and trailing edges based on inflexion detection is first proposed, with reference to the modelling of elliptic arc blade design characteristics. Then accurate segmentation of the blade leading and trailing edges is implemented under the condition of high-precision measurement, via point-clouds processing of rotation, interception, sorting and inflection point detection. And finally, a contrast experiment is designed to verify that this approach could split the blade leading and trailing edges qualitatively, keeping the contour error on a lower level, and demonstrate that the concavity points begin to influence line contour error in the process of ellipse fitting by the extension algorithm.

Key words: point cloud data segmentation, inflexion detection, blade leading and trailing edges, qualitative approach, search algorithm

CLC Number:

V232.4

YAO Yun, MAO Huajie, ZHU Dahu. An evaluation algorithm of elliptic arc blade leading and trailing edges based on inflexion detection[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(5): 1705-1712.

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An evaluation algorithm of elliptic arc blade leading and trailing edges based on inflexion detection

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