| Summary: | 碩士 === 國立高雄第一科技大學 === 電機工程研究所碩士班 === 105 === In the milling process, the cutter coating is gradually worn due to friction and collision among the workpiece, chops, and cutter. When the tool wear is too large and the coating is too thin, the tool removal capacity would be reduced and resulted in quality variation. Hence, to reduce the quality variation, we need to evaluate the degree of tool wear for improving the control of tool availability, stabilizing the stability of the material remove rate, reducing the quality variability, thereby enhancing processing efficiency.
This research presents a tool micro-image inspection system (TMIS) for on-line measuring tool wear including a tool micro-image robot (TMIR) and tool inspection module (TIM). The TMIR can automatically capture the tool wear images with various tool diameters. The TIM can derive the tool status from the images, including the tool defects and wear sizes. In addition, this system can timely transfer tool information to the tool wear estimation system via WIFI for providing the on-line tool state.
In the research results, the TMIS is able to measure the tool diameters ranged from 6 to 25 mm. According the tool angles, this system can identify the tool structure and wear focus area with resolution 0.02 mm and accuracy 95%. Hence, the proposed system is able to provide the CNC machine tool with the on-line tool images, wear sizes, and availability to improve machining stability.
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