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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/43550

Title: Machine Vision-Based Methods for Measuring the Cross-Sectional Geometric Accuracy of Microdrills and Their Comparisons
Authors: Wen-Tung Chang;Yu-Yun Lu
Contributors: 國立臺灣海洋大學:機械與機電工程學系
Date: 2016-01
Issue Date: 2017-09-21T03:14:51Z
Publisher: Nova Science Publishers
Abstract: Abstract:Microdrills are precision cutting tools widely used in drilling microholes and microvias in printed circuit boards (PCBs). The measurement of the cross-sectional geometric accuracy of microdrills is an important inspection task to ensure quality control of microdrill products. The cross-sectional geometric parameters of a microdrill essentially include both the cross-sectional web thickness and the cross-sectional outer diameter. For a microdrill to be measured, its drill body is ground off to yield a ground cross-sectional plane. Digital images of the ground cross-sectional plane are then captured and dealt with by image processing procedures and mathematical approaches for measuring the cross-sectional geometric parameters. To this end, several machine vision-based methods are introduced in this chapter. For the cross-sectional web thickness measurement, two methods, called the best-fit circle (BFC) method and the extreme common-tangent-circle (ECTC) method, are presented and demonstrated. For the cross-sectional outer diameter measurement, two methods, called the fitted dividing line (FDL) method and the exterior contour segmenting (ECS) method, are presented and demonstrated. The presented methods were tested and compared through experiments to measure the cross-sectional geometry of certain microdrill samples. It showed that the machine vision-based methods introduced in this chapter could have sufficient precision and accuracy for measuring the cross-sectional geometric accuracy of certain microdrills.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/43550
Appears in Collections:[機械與機電工程學系] 演講及研討會

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