Application Study of Edge Detection for Droplet in Laser Enhanced GMAW Welding

Ambient pressure has a certain inhibiting effect on underwater welding droplet transfer and the stability of welding process. Good droplet transfer of underwater welding plays an important role in improving repairing quality of underwater structures. As an additional droplet separating force, laser...

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Main Authors: Zhu Jialei, Jiao Xiangdong, Qiao Xi
Format: Article
Language:English
Published: SAGE Publishing 2014-04-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1155/2014/952605
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spelling doaj-c591ad4d329c4e2ab74b1c6876c8afa02020-11-25T03:09:33ZengSAGE PublishingAdvances in Mechanical Engineering1687-81322014-04-01610.1155/2014/95260510.1155_2014/952605Application Study of Edge Detection for Droplet in Laser Enhanced GMAW WeldingZhu Jialei0Jiao Xiangdong1Qiao Xi2 Mechanical Engineering College, Beijing Institute of Petrochemical Technology, Beijing 102617, China Mechanical Engineering College, Beijing Institute of Petrochemical Technology, Beijing 102617, China Mechanical and Electrical Engineering Institute, Beijing University of Chemical Technology, Beijing 100029, ChinaAmbient pressure has a certain inhibiting effect on underwater welding droplet transfer and the stability of welding process. Good droplet transfer of underwater welding plays an important role in improving repairing quality of underwater structures. As an additional droplet separating force, laser provides effective means in improving the welding quality. For quantitative analysis and comparison of laser enhanced effect on droplet transfer, a high-speed camera system to shoot the process of welding droplet transfer was designed and by adopting the frequency domain operation, a filter aiming at image processing of welding droplet was also designed to filter the ambient noise and diffraction fringe. Through edge detection algorithm, edges of droplet images were detected, and the size of droplet was computed accurately with welding wire as the reference. At last, droplets’ statues under different welding parameters were compared. The results show that the clear images of GMAW droplet separated from the noise background can be acquired, which makes the high-precision quantitative analysis of laser enhanced effect possible. All of the results lay a foundation for further test of laser enhanced hyperbaric underwater welding.https://doi.org/10.1155/2014/952605
collection DOAJ
language English
format Article
sources DOAJ
author Zhu Jialei
Jiao Xiangdong
Qiao Xi
spellingShingle Zhu Jialei
Jiao Xiangdong
Qiao Xi
Application Study of Edge Detection for Droplet in Laser Enhanced GMAW Welding
Advances in Mechanical Engineering
author_facet Zhu Jialei
Jiao Xiangdong
Qiao Xi
author_sort Zhu Jialei
title Application Study of Edge Detection for Droplet in Laser Enhanced GMAW Welding
title_short Application Study of Edge Detection for Droplet in Laser Enhanced GMAW Welding
title_full Application Study of Edge Detection for Droplet in Laser Enhanced GMAW Welding
title_fullStr Application Study of Edge Detection for Droplet in Laser Enhanced GMAW Welding
title_full_unstemmed Application Study of Edge Detection for Droplet in Laser Enhanced GMAW Welding
title_sort application study of edge detection for droplet in laser enhanced gmaw welding
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8132
publishDate 2014-04-01
description Ambient pressure has a certain inhibiting effect on underwater welding droplet transfer and the stability of welding process. Good droplet transfer of underwater welding plays an important role in improving repairing quality of underwater structures. As an additional droplet separating force, laser provides effective means in improving the welding quality. For quantitative analysis and comparison of laser enhanced effect on droplet transfer, a high-speed camera system to shoot the process of welding droplet transfer was designed and by adopting the frequency domain operation, a filter aiming at image processing of welding droplet was also designed to filter the ambient noise and diffraction fringe. Through edge detection algorithm, edges of droplet images were detected, and the size of droplet was computed accurately with welding wire as the reference. At last, droplets’ statues under different welding parameters were compared. The results show that the clear images of GMAW droplet separated from the noise background can be acquired, which makes the high-precision quantitative analysis of laser enhanced effect possible. All of the results lay a foundation for further test of laser enhanced hyperbaric underwater welding.
url https://doi.org/10.1155/2014/952605
work_keys_str_mv AT zhujialei applicationstudyofedgedetectionfordropletinlaserenhancedgmawwelding
AT jiaoxiangdong applicationstudyofedgedetectionfordropletinlaserenhancedgmawwelding
AT qiaoxi applicationstudyofedgedetectionfordropletinlaserenhancedgmawwelding
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