Abstract
To solve the problem of low positioning efficiency and low production efficiency for large special-shaped thin-walled parts with few datums, a State searching machining System and method for large special-shaped thin-walled parts were proposed. The State searching machining System was built, and a laser Scanner was used to meas-ure the pose point cloud data for posture of large thin-walled parts in the off-machine presetting Station on this basis. Then, the actual pose point cloud and the theoretical pose point cloud data were registered based on the im-proved ICP algorithm, and the correction value of the machining coordinate was calculated. Finally, the thin-walled part was transported to the machine tool based on the zero-point position fixture, and the machining was started to large special-shaped thin-walled parts with modified machining coordinate. Based on the above steps, a State searching machining experiment was performed to a certain weapon special-shaped cylinder part. The experiment results demonstrated that the proposed method could not only guarantee the machining quality of special-shaped thin-walled parts, but also improved the production efficiency by 48% and 30% compared with traditional position method and in-machine State search machining method. Besides, the built System reduced the dependence on workers operating experience to a large extent. Therefore, the proposed State searching machining System and the method could provide a new idea and Solution for realizing the fast positioning for the large special-shape thin-walled parts with in aero-space vehicles.
| Translated title of the contribution | Double-station locating-machining System and method for large special-shaped cylindrical thin-walled parts |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 438-451 |
| Number of pages | 14 |
| Journal | Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS |
| Volume | 31 |
| Issue number | 2 |
| DOIs | |
| State | Published - 28 Feb 2025 |
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