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Adaptive Planning Method for Measuring Points of Blade Section Line

机译:刀片切片线测量点的自适应规划方法

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An adaptive planning method for measuring points of blade section line is presented due to the less distribution of measuring points along the blade edge specified by chordal tolerance method which results in the edge information loss. Based on the chordal tolerance method, the adaptive planning method provides the number and distribution of measuring points along the blade section line on condition of the given initial number of measuring points and threshold value of chordal tolerance. A simulation system based on MATLAB is developed to compare the adaptive planning method with the chordal tolerance method. The measuring tests of blades are carried out according to the measuring points specified by chordal tolerance method and by adaptive planning method respectively. The simulation and measuring results indicate that the distribution of measuring points along the blade edge specified by adaptive planning method is more reasonable than those by chordal tolerance method and that the total number of measuring points is reduced considerably and the measuring efficiency is increased by adaptive planning method.
机译:由于沿着曲线公差方法指定的叶片边缘的测量点的分布较少,提出了一种用于测量刀片部分线点的自适应规划方法。基于曲线公差方法,自适应规划方法提供沿着叶片部分线的测量点的数量和分布,在给定的初始数量的测量点和克拉多尔公差的阈值的条件下。开发了一种基于MATLAB的仿真系统,以比较具有曲线公差方法的自适应规划方法。叶片的测量测试根据曲线公差方法和自适应规划方法分别指定的测量点进行。模拟和测量结果表明,自适应规划方法指定的叶片边缘的测量点的分布比曲线公差方法更合理,并且显着降低了测量点的总数,并且通过自适应规划增加了测量效率方法。

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