You are here

Home » Content

Automatic inspection system for dimensional measurements of the saw blade milling cutter

Journal Name:

  • Journal of Industrial Engineering and Management

Publication Year:

  • 2010

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
The demand for measuring equipments of automatic optical inspection has grown rapidly, because of its benefits of promoted efficiency and higher precision. Instead of manual projection measurements, measurement performance and efficiency can be obviously enhanced by the image measurement system. In this investigation, digital image processing and geometrical measurement principles have been integrated to develop a dynamic measurement system for the dimensional measurements of a saw blade milling cutter. The repeatability of the measurement system has been analyzed and its accuracy has been verified by using commercial 3D image measurement system. The analysis results show that the dimensional precision of 25μm and the angular precision of 0.21° can be realized by the self-developed measurement system. Between the results of the developed system and reference standard system, there are 25μm deviation in dimensional measurement and 0.26° in angular measurement. That measuring performances can meet the industrial requirement and the higher measurement efficiency can be achieved.
Bookmark/Search this post with
FULL TEXT (PDF): 
PDF icon arastirmax-automatic-inspection-system-dimensional-measurements-saw-blade-milling-cutter.pdf
  • 2
370-382
  • English

REFERENCES

References: 

Gonzalez, R.C., & Woods, R.E. (2002). Digital Image Processing. (pp. 230-243). Prentice-Hall, Inc.Otsu, N. (1979). A threshold selection method fromgray-level histograms. IEEE Transaction System Man Cybernet, 9(1), 62-69. doi:10.1109/TSMC.1979.4310076
Wang, Y.-C., Chang, C.-C., Lin, J.-C., Lee, B.-Y., & Lin, W.-S. (2009). Proceedings of the 2009 WRI Global congress on intelligent systems, Vol III, 24-27.
Scaman, M.E., & Economikos, L. (1995). Computer vision for automatic inspection of complex metal patterns on multichip modules (MCM-D), IEEE Trans. On Components, Packaging and Manufacturing Technology, Part B. Advanced Packaging, 18(4), 675-684.
K&W (2009). A Slice of Life, Product Information, Retrieved from http://www.kwtools.biz.
JIM DANDY TECHNOLOGY CO., LTD. (2009). Product Information, Retrieved from http://www.j-dandy.com/english/html/philosophy.htm
Yang, C.C., Marefat M.M., & Ciarallo, F.W. (1998). Error analysis and planning accuracy for dimensional measurement in active vision inspection. IEEE Transaction on Robotics and Automation, 14(3), 476-487. doi:10.1109/70.678456
Santo, M.D., Liguori, C., Paolillo, A., & Pietrosanto A. (2004). Standard uncertainty evaluation in image-based measurements. Measurement, 36, 347–358. doi:10.1016/j.measurement.2004.09.011

Thank you for copying data from http://www.arastirmax.com