| Summary: | 碩士 === 國立虎尾科技大學 === 機械與電腦輔助工程系碩士班 === 107 === Recently, precision inspection systems in Taiwan have flourished under the development and progress of the precision machinery industry. The dimensional accuracy of cutting tools and the status of ground cutting edge considerably influence the processing precision of workpieces. However, inspection of the flatness of cutting edges are mainly conducted through manual measurement using microscopes or unaided eyes. Conventional manual inspection is often under the constraints of the inspectors’ physical conditions such as visual acuity and stamina, leading to compromised inspection quality and efficiency. Moreover, the reliability of manual inspection is inferior to that of automated inspection. Industrial applications of machine vision inspection technologies are prevalent. The mostly applied inspection technologies include dimensional measurement, flaw detection, and dynamic photography. Noncontact measurement is characterized by its no damage on the inspection sample.
This study developed an image inspection system for end-mill cutting tool edges based on a human-machine interface characterized by its user-friendly features, pictorial presentation, and ease of operation. The proposed system adopted machine vision to inspect the flatness and the defect area of edge of end-mill cutting tools. Compared with existing inspection devices in Taiwan, the proposed system can not only facilitate automated measurement, but also present flatness of edge in numerical description, which reduces time required for and error of manual inspection. Many defects of existing measurement methods were modified by the proposed system.
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