Title :
A Examination Method of Key Slot Based on the Image Pixel Parameter
Author :
Fajun, Zhang ; Wenjie, Fang
Author_Institution :
Coll. of Mech. & Mater. Eng., Three Gorges Univ., Yichang, China
Abstract :
With the promotion of digital manufacturing, people have higher requirements on the detection system of Intellectualization, Flexibility, and so on. In the mechanical parts processing, people often encountered precision work for deep hole long keyway. Because the uses of different locate mode and attrition of cutting tool, it brings a greater influence to the key slot processing precision. This article has expounded the key slot aperture automatic detection principle, based on the machine vision technology and mechanics principle which proposed the center of mass moment of force examination algorithm and established its mathematical model. It fundamentally eliminates the influence of personal error in the examination process.
Keywords :
computer vision; cutting tools; mechanical engineering computing; precision engineering; production engineering computing; center of mass moment; cutting tool; deep hole long keyway; force examination algorithm; image pixel parameter; key slot aperture automatic detection principle; key slot processing precision; machine vision technology; mathematical model; mechanic principle; mechanical part processing; Belts; Computer vision; Computers; Force; Image edge detection; Machine vision; Shape; Image; Key slot; Machine vision; Pixel;
Conference_Titel :
Information Engineering (ICIE), 2010 WASE International Conference on
Conference_Location :
Beidaihe, Hebei
Print_ISBN :
978-1-4244-7506-3
Electronic_ISBN :
978-1-4244-7507-0
DOI :
10.1109/ICIE.2010.63