自动焊接传感技术研究现状及发展趋势

doi:10.11896/cldb.20090224

材料导报

2022, Vol. 36

Issue (3): 20090224-8 https://doi.org/10.11896/cldb.20090224

金属与金属基复合材料

自动焊接传感技术研究现状及发展趋势

杨秀烨¹, 方金祥², 何鹏³

1 贵州大学机械工程学院,贵阳 550025
2 昆明理工大学机电工程学院,昆明 650500
3 哈尔滨工业大学先进焊接与连接国家重点实验室,哈尔滨 150001

Research Status and Development Trend of Automatic Welding Sensor Technology

YANG Xiuye¹, FANG Jinxiang², HE Peng³

1 School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
2 College of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China
3 State Key Laboratory of Advanced Welding and Connection, Harbin Institute of Technology, Harbin 150001, China

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摘要焊接智能化是智能制造的重要组成部分,焊接路径智能规划及焊缝精确跟踪校正是智能化焊接的基础,而焊接传感技术是焊接路径智能规划及精确跟踪的关键。本文对视觉传感、电弧传感、机械接触传感、电磁传感、红外传感、超声传感等焊接传感技术的原理及发展应用现状进行了综述,探讨了焊接传感技术的发展趋势。

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	杨秀烨
	方金祥
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关键词: 焊接传感路径规划焊缝跟踪空间焊缝

Abstract: Intelligent welding which is based on automatic welding path planning system and weld seam tracking system is one of the most important part of intelligent manufacturing. And it is known that welding sensing technology is the key to intelligent welding path planning and accurate trac-king. In this paper, the principle and application of welding sensing technology have been reviewed, such as visual sensing, arc sensing, mechanical contact sensing, electromagnetic sensing, infrared sensing and ultrasonic sensing. The development trend of welding sensing technology have been discussed.

Key words: welding sensor path planning weld tracking space weld

发布日期: 2022-02-10

ZTFLH:

TG409

基金资助: 国家自然科学基金(51905117);贵州省自然科学基金(黔科合基础〔2018〕1034)

通讯作者: jxfang@gzu.edu.cn

作者简介: 杨秀烨,2018年6月毕业于沈阳航空航天大学,获得理学学士学位。现为贵州大学机械工程学院硕士研究生,在方金祥副教授的指导下进行研究。目前主要研究领域为焊接机器人,新型钛合金材料。
方金祥,昆明理工大学机电工程学院副教授,硕士研究生导师。2016年6月在哈尔滨工业大学先进焊接与连接国家重点实验室获得工学博士学位,2019年—至今在中国航发黎阳航空动力有限公司燃烧事业部从事博士后研究工作。主持包括国家自然科学基金、国家重点研发计划二级子课题、贵州省自然科学基金等项目共9项,近年来发表论文多篇,包括Mater. Sci. Eng. A.、J. Alloys Compd.、J. Manuf. Process.、Mater. Des.等。

引用本文:

杨秀烨, 方金祥, 何鹏. 自动焊接传感技术研究现状及发展趋势[J]. 材料导报, 2022, 36(3): 20090224-8.
YANG Xiuye, FANG Jinxiang, HE Peng. Research Status and Development Trend of Automatic Welding Sensor Technology. Materials Reports, 2022, 36(3): 20090224-8.

链接本文:

http://www.mater-rep.com/CN/10.11896/cldb.20090224 或 http://www.mater-rep.com/CN/Y2022/V36/I3/20090224

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