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Monitoring of Micro-Drill Wear by Using the Machine Vision System

머신비전 시스템을 이용한 마이크로드릴 마멸의 상태감시

  • Published : 2006.06.01

Abstract

Micro-drill wear deteriorates accuracy and productivity of the micro components. In order to improve productivity and qualify of micro components, it is required to investigate micro-drill wear exactly. In this study, a machine vision system is proposed to measure the wear of micro-drills using a precision servo stage. Calibration experiments are conducted to compensate for the machine vision system. In this paper, worn volume, area and length are defined as wear amounts. Micro-drill wear is reconstructed as the 3D topography and the quantized wear amount by using the shape from focus (SFF) method and wear parameters. Experiments have been conducted with HSS twist micro-drills and SM45C carbon steel workpieces. Validity of the proposed machine vision system is confirmed through experiments.

Keywords

Edge Detection;Machine Vision;Micro-Drill;Reliability Estimation;Shape from Focus;Wear

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