A vision-based seam tracking control system for gas tungsten arc welding of titanium alloys

In this report, a robotics seam tracking system, aimed at achieving robust welding on the titanium alloys is developed. The system proposed in this report adopts the Feature Find Tool of a dedicated image processing software called VisionBlox to form the algorithm for feature extraction.

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Bibliographic Details
Main Author:	Chen, Ying Te.
Other Authors:	Devanathan, Rajagopalan
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Online Access:	http://hdl.handle.net/10356/3970
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3970
record_format	dspace
spelling	sg-ntu-dr.10356-39702023-07-04T15:15:45Z A vision-based seam tracking control system for gas tungsten arc welding of titanium alloys Chen, Ying Te. Devanathan, Rajagopalan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering In this report, a robotics seam tracking system, aimed at achieving robust welding on the titanium alloys is developed. The system proposed in this report adopts the Feature Find Tool of a dedicated image processing software called VisionBlox to form the algorithm for feature extraction. Master of Science (Computer Control and Automation) 2008-09-17T09:41:29Z 2008-09-17T09:41:29Z 2002 2002 Thesis http://hdl.handle.net/10356/3970 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Chen, Ying Te. A vision-based seam tracking control system for gas tungsten arc welding of titanium alloys
description	In this report, a robotics seam tracking system, aimed at achieving robust welding on the titanium alloys is developed. The system proposed in this report adopts the Feature Find Tool of a dedicated image processing software called VisionBlox to form the algorithm for feature extraction.
author2	Devanathan, Rajagopalan
author_facet	Devanathan, Rajagopalan Chen, Ying Te.
format	Theses and Dissertations
author	Chen, Ying Te.
author_sort	Chen, Ying Te.
title	A vision-based seam tracking control system for gas tungsten arc welding of titanium alloys
title_short	A vision-based seam tracking control system for gas tungsten arc welding of titanium alloys
title_full	A vision-based seam tracking control system for gas tungsten arc welding of titanium alloys
title_fullStr	A vision-based seam tracking control system for gas tungsten arc welding of titanium alloys
title_full_unstemmed	A vision-based seam tracking control system for gas tungsten arc welding of titanium alloys
title_sort	vision-based seam tracking control system for gas tungsten arc welding of titanium alloys
publishDate	2008
url	http://hdl.handle.net/10356/3970
_version_	1772825731625123840

A vision-based seam tracking control system for gas tungsten arc welding of titanium alloys

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