Author:
Kanto Kenta, ,Kubota Junichi,Fujishima Makoto,Mori Masahiko
Abstract
An automation system of machine tools can free operators from simple and hard labor by the automatic loading and unloading of workpieces, and allowance of unmanned operation during nights and holidays. To achieve complete shop floor operations, various works that are manually performed by operators need to be automated as well. It is also crucial to accurately monitor tools to detect tool wear and chip winding during machining. In this study, we propose an on-machine tool condition monitoring system that measures tool length and diameter using images to detect tool breakage and winding chips.
Publisher
Fuji Technology Press Ltd.
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference21 articles.
1. F. Jovane, Y. Koren, and C. R. Boer, “Present and future of flexible automation: towards new paradigms,” CIRP Annals, Vol.52, No.2, pp. 543-560, 2003.
2. K. D. Thoben, S. Wiesner, and T. Wuest, “Industrie 4.0 and smart manufacturing-a review of research issues and application examples,” Int. J. Automation Technol., Vol.11, No.1, pp. 4-16, 2017.
3. DMG MORI website, “FY2019 First quarter result and outlook.” https://www.dmgmori.co.jp/corporate/en/ir/ir_library/pdf/fy2019_1shihanki_ex_e.pdf [Accessed May 8, 2019]
4. J. Tlusty, and G. C. Andrews, “A critical review of sensors for unmanned machining,” CIRP Annals, Vol.32, No.2, pp. 563-572, 1983.
5. M. Fujishima, K. Ohno, S. Nishikawa, K. Nishimura, M. Sakamoto, and K. Kawai, “Study of sensing technologies for machine tools,” CIRP J. of Manufacturing Science and Technology, Vol.14, pp. 71-75, 2016.
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