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- W1992498031 abstract "Automated tool condition monitoring is gaining considerable importance in the manufacturing industry. This can be attributed to the transformation of manufacturing systems from manually operated production machines to highly automated machining centres. Modern image processing techniques and machine vision systems can now enable direct tool wear measurement to be accomplished in-cycle. Such a system, characterized by its measurement flexibility, high spatial resolution and good accuracy, is presented here. The system consists of a fibre-optic light source to illuminate the tool and a CCD camera (used in conjunction with a high resolution video zoom microscope) to capture the reflected pattern. The extent of the flank wear land has been determined using both textural and gradient operators; a texture operator has been implemented in the final system." @default.
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- W1992498031 date "1997-04-01" @default.
- W1992498031 modified "2023-10-17" @default.
- W1992498031 title "A machine vision system for tool wear assessment" @default.
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- W1992498031 doi "https://doi.org/10.1016/s0301-679x(96)00058-8" @default.
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