中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A practical method for weld seam position detection

文献类型:会议论文

作者Qu RX(屈润鑫); Zhu SJ(朱思俊); An XW(安晓卫); Zou YY(邹媛媛)
出版日期2014
会议名称2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
会议日期December 5-10, 2014
会议地点Bali, Indonesia
页码2558-2563
通讯作者朱思俊
中文摘要Weld seam position detection mainly relies on initial point detection of weld seam in robotic welding automation. In industry factory, the position data for weld seam are usually detected through contact measurement sensor before welding. Such a method is not suitable in heavy industry, since length of weld seam may reach to ten meters which results in time-consuming position detection which will reduce the duty cycle of the equipment and lowered the cost-effective of welding equipment significantly. To satisfy the huge demand of market in industries mentioned above, a method based on scanning-spotlights and calibration technique with laser range finder sensors is proposed in this paper. The duty cycle of the equipment is improved significantly through separating welding motion system and weld seam position detection system. It not only meets welding position precision requirement, but also reduces the costs considerably. Moreover, the cost-effective is improved significantly.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者Harbin Institute of Technology; IEEE Robotics and Automation Society; National University of Defense Technology; Shenzhen Institutes of Advanced Technology, CAS; State Key Laboratory of Robotics and Systems
会议录2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-1-4799-7396-5
WOS记录号WOS:000380399500429
源URL[http://ir.sia.ac.cn/handle/173321/16110]  
专题沈阳自动化研究所_装备制造技术研究室
推荐引用方式
GB/T 7714
Qu RX,Zhu SJ,An XW,et al. A practical method for weld seam position detection[C]. 见:2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014. Bali, Indonesia. December 5-10, 2014.

入库方式: OAI收割

来源:沈阳自动化研究所

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