Title :
Bearing Thickness Auto-Measuring and Classifying System
Author :
Mao, Ye ; Yuekang, Shan ; Jie-ang, Zhao
Author_Institution :
China Jiliang Univ., Hangzhou, China
fDate :
March 31 2009-April 2 2009
Abstract :
A type of bearing thickness auto-measuring and classifying system was discussed in this paper based on the digital length gauge. After analyzing the definition of bearing thickness, researched the four elements of the measurement process including the measured object, measurement units, methods and precision consisting of auto-positioning error, auto-targeting error. The bearing thickness auto-measuring and classifying system is consisted of auto-separating, auto-feeding, auto-measuring, auto-classifying and statistic-analyzing parts. The auto-separating part separates the bearings on the carrying belt orderly. The auto-feeding part uses the manipulator to feed the bearings to the measuring location. The auto-measuring part is consisted of digital length gauge, measuring rack, zero location detector and V shape localizer. The auto-classifying part classifies the bearings that have been measured according to the measuring results. The computer and the pneumatic part that is controlled by PLC assure automation of the measuring and classifying process. The precision of the total system is 0.5 mm and the efficiency of the detection is 5 s/piece, which can meet the interchangeability of high-grade group bearing assembly request.
Keywords :
machine bearings; thickness measurement; V shape localizer; autopositioning error; autoseparating part; autotargeting error; bearing thickness automeasuring; carrying belt; classifying system; digital length gauge; manipulator; measured object; measurement process; measurement units; measuring rack; zero location detector; Automatic control; Automation; Belts; Detectors; Feeds; Length measurement; Measurement units; Programmable control; Shape measurement; Thickness measurement; auto-measuring; bearing thickness; classifying;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.412