Abstract
Density measurement data of turbine blade could be obtained based on advanced digital measurement devices, such as ATOS (advanced topometric sensor) and cone beam industrial CT. In order to do the geometric shape analysis for each feature of the turbine blade effectively, the density measurement data of the turbine blade with complex topological structures should be segmented into relatively simple sub datasets according to blade structure. As the existing methods for data segmentation were still unable to get the required results reliably and automatically, a CAD model directing method for turbine blade density measurement data segmentation was presented. Combining the edge based data segmentation method, a line frame representation of the turbine blade CAD model was adopted as the pre-knowledge for directing the data segmentation process. The discussed method was verified by blade simulation data and real measurement data.
| Original language | English |
|---|---|
| Pages (from-to) | 2214-2218 |
| Number of pages | 5 |
| Journal | Zhongguo Jixie Gongcheng/China Mechanical Engineering |
| Volume | 20 |
| Issue number | 18 |
| State | Published - 25 Sep 2009 |
Keywords
- Cone beam CT
- Data segmentation
- Pre-knowledge
- Turbine blade