Measurement of end-milling burr using image processing techniques

Abstract

This paper presents a method that has been developed to measure the height of end-milling burr on the edges of a work-piece using techniques of image processing. This simple and economical system consists of a microscope with a digital camera mounted on the viewing lens and a personal computer for image processing. An image is captured and then processed whereby the whole burr profile is analysed and compared to traditional methods, where normally a few readings are taken at random locations. An added feature of this system is that disorientation of the reference horizontal axis, along which burr height measurements are taken, on the work-piece during image capture is catered for with relevant image processing functions. In addition, the system determines and plots the height of the burr against its location, together with the average burr height, which can be used later for deburring or further analysis.

Keywords

end-milling burr height image processing

References

Lee

Huang

, ‘Burr detection by using vision image’ Int. J. Advd Mfg Technol. 8 (5) (1993): 275–284.

Onwubolu

G. C.

, ‘Optimization of milling operations for the selection of cutting conditions using Tribes’ Proc. IMechE, Part B: J. Engineering Manufacture 219 (10) (2005): 761–771 DOI: 10.1243/095440505X32760.

Nakao

Watanabe

, ‘Measurements and evaluations of drilling burr profile’ Proc. IMechE, Part B: J. Engineering Manufacture 220 (4) (2006): 513–523 DOI: 10.1243/095440505X32625.

Ogawa

Kawai

Sakurai

Yamaguchi

Takashima

, ‘Evaluation of friction welded joint performance of recognition of burr shape (in the case of A5056 aluminum alloy)’ In Proceedings of the 34th SICE Annual Conference - International Session Paper s, Hokkaido, Japan, 26–28 July 1995, pp. 1163–1166.

J.C.

Huang

C. K.

Tarng

Y. S.

, ‘An automated flank wear measurement of microdrills using machine vision’ J. Mater. Processing Technol. 180(1–3) (2006): 328–335.

Mitutoyo. Vision Unit: Series 359 vision system retrofit for microscopes, Mitutoyo catalogue, catalogue no. US4161-359, avalaible from http://www.mitutoyo.com/pdf/4161.pdf (access date 22 April 2010).