Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19779
Title: The development of a machine vision system for adaptive bending of sheet metals
Authors: Kwok, SK
Lee, WB 
Issue Date: 1995
Publisher: Elsevier
Source: Journal of materials processing technology, 1995, v. 48, no. 1-4, p. 43-49 How to cite?
Journal: Journal of materials processing technology 
Abstract: Press-brake bending is a common forming process widely used in the sheet metal industry. One of the major problems in the bending operation is the control of the amount of springback. A sheet metal bending machine which is capable of on-line measurement of the punch load and punch displacement data has been built. A computer vision system is incorporated in the machine to capture the image of the bend, carry out features extraction and image analysis to find out the profile of the bend. The image data are fed into a plastomechanical model which will compute the required punch travel to achieve a given angle of the bend. These image data can also be used to monitor the bending process and control the product quality. The inherent variation in material properties is taken into account during each bending operation.
URI: http://hdl.handle.net/10397/19779
ISSN: 0924-0136
EISSN: 1873-4774
DOI: 10.1016/0924-0136(94)01631-A
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

13
Last Week
0
Last month
1
Citations as of Aug 15, 2017

WEB OF SCIENCETM
Citations

10
Last Week
0
Last month
0
Citations as of Aug 12, 2017

Page view(s)

34
Last Week
2
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.