A Detection System of Tool Condition Based on Image Processing Technology

Xing Yuan Kou; Chen Sheng Wang; Lei Li

doi:10.4028/www.scientific.net/AMR.510.375

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 510A Detection System of Tool Condition Based on...

A Detection System of Tool Condition Based on Image Processing Technology

Abstract:

This paper focused on introducing a real-time detection system of tool condition based on image processing technology and determined final algorithm after analyzing several different operators of edge detection. Firstly, the system will complete an acquisition of tool image, and transfer it to the computer. Then the image will be processed by some digital processing algorithms. At last, we can get the tool wear according to the size change of a tool. The result of this study showed that the detection system and its image processing solution could give a desired result. The detection accuracy could reach macron level, and the degree of automation could be improved too. So the system can be used to better meet the needs of high precision and high-speed in modern production.

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Machinery, Materials Science and Engineering Applications, MMSE2012

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Periodical:

Advanced Materials Research (Volume 510)

Pages:

375-379

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.510.375

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Online since:

April 2012

Authors:

Xing Yuan Kou, Chen Sheng Wang, Lei Li

Keywords:

Detection, Image Processing, Tool

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References

[1] Nengquan Duan, Gang Liu, Junyuan Wang. Measuring Technology of Geometrical Parameter of Cutting Tool Based on Machine Vision [J]. Machinery Design & Manufacture, 2008, (10): 217-219.

Google Scholar

[2] Xuezhi Hou, Ping Yang, Yunsong Zhao. A Measurement System of Cutting Tools Based on Image Processing Technology [J]. Manufacturing Technology & Machine Tool, 2004, (3): 33-35.

Google Scholar

[3] Yicai Shan, Yimin li, Shihao Liu. Research Present Status and Development Tendency of Intelligent Machine Tool [J]. Tool Engineering, 2009, 43(9): 3-6.

Google Scholar

[4] Peng Li. On-line Inspection Research of Rotary Screen Printing Based-on Machine Vision [D]. Shanghai: Donghua University, 2008, 1.

Google Scholar

[5] Bin Zhang, Junyuan Wang, Jing Zhou. Research on Measurement Technology of Tool Geometry Parameters Based on Image Processing [J]. Tool & Technology, 2010, 44(7): 101-104.

Google Scholar

[6] Yanling Zhao, Xianli Liu, Peng Wang. Development of Software for Analyzing Breakage Cutting Tools Based on Image Processing [J]. Journal of Shanghai University (English Edition), 2004, 8: 158-161.

Google Scholar