摘要
航空发动机空心涡轮叶片的壁厚是保证叶片强度的一个关键参数。本文给出一种基于叶片锥束体积CT图像序列和叶片CAD模型的叶片壁厚检测方法。通过从叶片CAD模型导出的壁厚检测模板与从叶片CBVCT图像序列提取的点云模型之间的求交运算,自动生成叶片指定截面上的壁厚偏差。相关算法由VC++编程实现,并用仿真生成的叶片CB-VCT图像序列进行验证。
The wall thickness of the hollow aeroengine turbine blade is a critical parameter for ensuring its strength. A blade wall thickness inspection method based on blade cone beam volume CT image sequence and blade CAD model are given. Through the intersecting calculation between the wall thickness inspection template derived from the turbine blade CAD model and the point cloud model extracted from the blade CB-VCT image sequence, the wall thickness deviation on the predefined section is generated automatically. The related algorithms are implemented with VC＋ ＋ programming and verified by image sequence of blade CB-VCT simulated.
出处
《航空制造技术》
2005年第11期61-63,88,共4页
Aeronautical Manufacturing Technology
基金
航空科学基金(04153069)资助项目
关键词
空心涡轮叶片
壁厚
CBVCT图像序列
点云
Hollow turbine blade Wall thickness CBVCT image sequence Point cloud
