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Title:Auto orientation system based on machine vision in sheet metal incremental forming
Authors: MAO Feng MO Jian-hua WANG Quan-yi HUANG Shu-huai(State Key Laboratory of Plastic Forming and Die and Mould Technology Huazhong University ofScience and Technology Wuhan Hubei 430074 China) 
Unit:  
KeyWords: machine vision auto locating sheet metal incremental forming 
ClassificationCode:TG54
year,vol(issue):pagenumber:2005,30(6):33-36
Abstract:
In the sheet metal incremental forming,the orientation of bolster model positioned by guide pin is inefficient and rough because of the floating of bolster model and fit tolerance between guide pin and aligning hole.Auto orientation system based on machine vision obtains the coordination of aligning holes after the digital images have been captured and processed.Then,CNC system makes off-line transformation of machine coordinates to realize the adaptation of position and attitude from forming trajectory coordinates to bolster model coordinates.This non-touch agile locating system is rapid and precise.
Funds:
国家自然科学基金资助项目(50175034)
AuthorIntro:
Reference:
[1]朱振友,徐爱杰,林涛,等.机器人视觉的“手眼”关系快速标定算法[J].光学技术,2004,(30):150 152.
[2]Delta Tau Data Systems Inc.PMAC User’s Manual[M].Chatsworth California U.S.A.,Delta Tau Data SystemsInc.,1998.
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