摘要
三坐标测量是复杂叶片外形精度检测的重要手段之一。针对自适应曲率采样、混合采样在大曲率处采样点过密集及在小曲率处过稀疏的缺点,通过优化曲率半径比,并结合叶片的结构特征,提出了一种自适应的分段曲率采样算法,进而对叶片CMM测量点的采样分布进行研究。研究结果表明:在测量点数相同的情况下,与均匀采样和混合采样算法相比,分段曲率采样算法可以使测量点的分布能更好的反映叶片CAD形状,从而提高叶片的三坐标测量效率。
Three-coordinate measuring is one of the most important methods for measuring complex blades. For the mix sampling, the measuring points are too dense in the large curvature area and too sparse in the small curvature area as compared with the adaptive curvature sampling. For this defect, on the basis of the optimization of curvature radius ratio, combining with the structure characteristics of blades, an adaptive sub-curvature sampling algorithm was pro- posed and established. Compared with uniform sampling and mixed sampling under the same number of measuring points, the distribution of measuring points better reflects the form of CAD by sub-curvature sampling algorithm. So this algorithm can improve the efficiency of measuring complex blades using CMM.
出处
《锻压技术》
CAS
CSCD
北大核心
2012年第4期131-135,共5页
Forging & Stamping Technology
关键词
叶片
三坐标测量
分段曲率采样
均匀采样
混合采样
blade
three-coordinate measuring
sub-curvature sampling
uniform sampling
mixed sampling
