Automation Bearing Inspect System
| Autor: | CHEN, XIN-WEI, 陳信瑋 |
|---|---|
| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 The bearing is a precision component. It consists of three parts: bearing ring, ball and retainer, which are often used in transmission systems. The bearing ring is usually machined by CNC, which often causes problems in the use of the product after assembly due to thermal deformation of the process. However, the bearing ring is a curved shape. If it is measured by a general measuring tool, it is not only time-consuming but also impossible to obtain the correct inner groove ring size. At present, the bearing inspection is mainly based on sampling. For bearings with incorrect dimensions or defects, there are often undetected problems. Therefore, this study will propose a high-precision automatic inspection system combining high-speed measurement, image processing and robot for bearing ring size and appearance defects. In the automatic bearing ring inspection system, the outer ring size and appearance defects are mainly detected by CCD, and the moving bearing ring coordinate value is captured by the image positioning system, and the coordinate value is transmitted to the robot in real time by communication. This allows the robot to precisely grasp the bearing ring to be measured at the fixed point. With the non-contact single-point laser displacement meter, the clamped bearing ring can be measured by 360 multi-point internal groove, and the size of the inner groove can be obtained quickly, accurately and stably. The overall measurement time is only 3 seconds, and the deviation is about 0.02mm. After comparison with the CMM, the results show that the trends are completely the same. After the modular measurement system is further combined with the human-machine interface, it is now possible to perform remote monitoring and detection functions, so that the measurement of the bearing can achieve accurate, rapid and intelligent automatic detection. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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