Development of Inspection System for Cutting Edge on End-mill by Image Processing

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...

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Main Authors: HUANG, YUN-CIAO, 黃韻喬
Other Authors: LEE, BEAN-YIN
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/x7xvaa
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spelling ndltd-TW-107NYPI06890042019-05-16T01:32:15Z http://ndltd.ncl.edu.tw/handle/x7xvaa Development of Inspection System for Cutting Edge on End-mill by Image Processing 端銑刀刃口影像檢測系統開發 HUANG, YUN-CIAO 黃韻喬 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. LEE, BEAN-YIN CHEN, JENN-YIH 李炳寅 陳進益 2018 學位論文 ; thesis 64 zh-TW
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description 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.
author2 LEE, BEAN-YIN
author_facet LEE, BEAN-YIN
HUANG, YUN-CIAO
黃韻喬
author HUANG, YUN-CIAO
黃韻喬
spellingShingle HUANG, YUN-CIAO
黃韻喬
Development of Inspection System for Cutting Edge on End-mill by Image Processing
author_sort HUANG, YUN-CIAO
title Development of Inspection System for Cutting Edge on End-mill by Image Processing
title_short Development of Inspection System for Cutting Edge on End-mill by Image Processing
title_full Development of Inspection System for Cutting Edge on End-mill by Image Processing
title_fullStr Development of Inspection System for Cutting Edge on End-mill by Image Processing
title_full_unstemmed Development of Inspection System for Cutting Edge on End-mill by Image Processing
title_sort development of inspection system for cutting edge on end-mill by image processing
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/x7xvaa
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