Cutting Tool Wear Detection and Tool Management Using Visual Sensors
Liu Wei*, Akira Ishii** and Seiji Hata**
*Fast Corporation, 2791-5 Shimo-tsuruma, Yamato-shi, Kanagawa 242-0001, Japan
**Faculty of Engineering, Kagawa University, 1-1 Saiwai-cho, Takamatsu-shi, Kagawa 760-8526, Japan
It is vital to detect tool wear automatically and control tool life in unattended machining. We studied a vision system that detected wear of cutting tools and predicted tool life. The system targeted measuring cutting drills set in a usual machining center. The system involves 2 CCD cameras that monitor the top and side of a drill, and an image processor. Two image processing algorithms are presented – one to detect drill breakage by analyzing the drill side and one to detect wear including flank, chisel edge, and outer corner wear by matching the top views of new and worn drills.
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