Damage Detection of Coated Milling Tools Using Images Captured by Cylindrical Shaped Enclosure Measurement Setup.

International Conference on Computational Collective Intelligence (ICCCI)(2022)

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摘要
Currently, only two direct automatic tool damage detection systems are available in the tool resharpening industries of German market. Both systems work on the principle of laser-optical 3D detection. By means of non-contact laser scanning, 3D models of the scan object are created which are then compared with digitally stored original model of the tools through a software. Damage images are created based on detected deviations. However, these systems have the major decisive disadvantage that they require about 15 to 20 min for a complete detection of a tool and are quite expensive, ranging between 100,000-400,000 Euros. Therefore, there is a scope of technically and economically optimized tool quality inspection system. The main goal of this work is to develop a new method by which the damages of different coated tools are identified with reduced cost and without compromising the accuracy of the damage.
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关键词
Quality inspection,Damage detection,Image processing,Tool regrinding,Measurement setup
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