Study on penetration recognition method of laser welding for Q235 steel based on signal mesoscopic extraction and statistical analysis

SUN Qian; HUANG Ruisheng; ZOU Jipeng; WANG Xuyou; LI Liqun; CHANG Jingshu

doi:10.12073/j.hjxb.20190726002

TRANSACTIONS OF THE CHINA WELDING INSTITUTION > 2020 > 41(1): 29-33, 54. > DOI: 10.12073/j.hjxb.20190726002

SUN Qian, HUANG Ruisheng, ZOU Jipeng, WANG Xuyou, LI Liqun, CHANG Jingshu. Study on penetration recognition method of laser welding for Q235 steel based on signal mesoscopic extraction and statistical analysis[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2020, 41(1): 29-33, 54. DOI: 10.12073/j.hjxb.20190726002

Citation:

PDF (1083 KB)

Study on penetration recognition method of laser welding for Q235 steel based on signal mesoscopic extraction and statistical analysis

1.
Harbin Welding Institute Limited Company, Harbin, 150028, China
2.
Harbin Institute of Technology, Harbin, 150001, China

More Information

Received Date: July 25, 2019
Available Online: July 12, 2020

Graphical Abstract

Abstract

Abstract

Laser welding penetration detection is an important link to realize intelligent welding manufacturing, but how to penetrate shelter objects above the keyhole, break through signal effective extraction of accurate location under the mesoscopic scale, which in the penetration feature area of the keyhole, and effectively analyze the complex optical detection signal, these are the main technical difficulties to reliably identify the penetration behavior of laser welding by direct test method. In this paper, a new method of laser welding penetration recognition of Q235 steel is studied. It includes, using the fluorescence radiation source of the keyhole inner wall as the direct detection signal, penetrating shelter objects and making the keyhole internal morphological feature perspective by using the characteristics of different material spectrum segments, obtaining fluorescence doubling image of the keyhole inner wall by using optical imaging, and making the effective penetration recognition signal maximized and enhanced by locating the sensing chip directly to the penetration feature area by pinhole uptake and mesoscopic location methods, under certain welding conditions, finally, identifiing the detection signal by statistical probability feature recognition, which realized the abstract separation of welding penetration feature information. And the method has obtained the reliable penetration detection results.
- laser welding,
- penetration detection,
- mesoscopic extraction,
- statistical analysis

FullText(HTML)

References (12)

References

华顺明, 李鑫, 楼应侯, 等. 面向介观尺度制造的螺杆型压电作动器[J]. 纳米技术与精密工程, 2014, 12(4): 300 − 305.

Hua Shunming, Li Xin, Lou Yinghou, et al. Screw-type piezoelectric actuator applied in meso-scale manufacturing[J]. Nanotechnology and Precision Engineering, 2014, 12(4): 300 − 305.

Zhu Yanjun, Wu Zhisheng, Li Ke, et al. Welding deviation detection method based on weld pool image contour features[J]. China Welding, 2019, 28(2): 35 − 44.

Chen Zongyao, Chen Jian, Feng Zhili. Welding penetration prediction with passive vision system[J]. Journal of Manufacturing Processes, 2018(36): 224 − 230.

Sheng Jie, Cai Yan, Li Fang, et al. Online detection method of weld penetration based on molten pool morphology and metallic vapor radiation for fiber laser welding[J]. The International Journal of Advanced Manufacturing Technology, 2017, 92(1−4): 231 − 245. doi: 10.1007/s00170-017-0129-0

高向东, 梁剑斌, 刘桂谦, 等. 大功率光纤激光焊熔透状态模糊聚类识别方法[J]. 焊接学报, 2017, 38(5): 22 − 25.

Gao Xiangdong, Liang Jianbin, Liu Guiqian, et al. Identification of high-power fiber laser welding penetration based on fuzzy clustering algorithm[J]. Transactions of the China Welding Institution, 2017, 38(5): 22 − 25.

Duan Aiqin, Chen Li, Gong Shuili. Behavior of vapor/plasma within the keyhole and above the workpiece during CO₂ laser penetration welding[J]. China Welding, 2008, 17(4): 7 − 11.

黄益平, 周俊超, 黄晶晶, 等. 激光诱导荧光技术观测填料表面非等温降膜流动形态变化[J]. 化工进展, 2016, 35(12): 3830 − 3835.

Huang Yiping, Zhou Junchao, Huang Jingjing, et al. Laser induced fluorescence technique for observing non-isothermal falling film flow on packing surface[J]. Chemical Industry and Engineering Progress, 2016, 35(12): 3830 − 3835.

王旭友, 孙谦, 王威, 等. 激光焊接中的等离子体变化规律及气孔缺陷快速测试方法—检测信号整体分析方法[J]. 焊接学报, 2016, 37(3): 45 − 48.

Wang Xuyou, Sun Qian, Wang Wei, et al. Study on the changing ruler of plasma in laser welding and the quick testing method of blowhole defects—integral analysis method for signals detection[J]. Transactions of the China Welding Institution, 2016, 37(3): 45 − 48.

孙谦, 黄瑞生, 雷振, 等. 激光焊接熔透特征信号同轴增效提取方法研究[J]. 光谱学与光谱分析, 2020, 40(3): 679 − 683.

Sun Qian, Huang Ruisheng, Lei Zhen, et al. Study on coaxial synergistic extraction method of laser welding penetration characteristic signal[J]. Spectroscopy and Spectral Analysis, 2020, 40(3): 679 − 683.

孙谦, 王旭友, 王威, 等. 激光焊接质量快速无损检测方法: 中国, 201310459378.3[P]. 2014-01-08.

孙谦, 王旭友, 王威, 等. 激光焊接质量在线检测方法: 中国, 201310459376.4[P]. 2013-12-25.

孙谦, 王威, 王旭友, 等. 激光焊接熔透在线检测方法: 中国, 201610326537.6[P]. 2016-10-12.

[1]	SUN Qian, HUANG Ruisheng, XU Fujia, CAO Hao, LI Lin, SONG Yang, MA Qiang. Study on physical characteristics of laser welding penetration signal in the mesoscopic field[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2024, 45(7): 27-33, 40. DOI: 10.12073/j.hjxb.20230918001
[2]	ZHAO Dawei1, KANG Yuyun1, YI Rongtao2, LIANG Dongjie3. Research on process parameters optimization of laser welding for dual phase steel DP600[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(1): 65-69. DOI: 10.12073/j.hjxb.2018390015
[3]	WANG Xuyou, SUN Qian, WANG Wei, Li Xiaoyu. Study on the changing ruler of plasma in laser welding and the quick testing method of blowhole defects——integral analysis method for signals detection[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(3): 45-48.
[4]	CAI Hua, XIAO Rongshi. Statistic analysis on spatter characteristics in high power CO₂ laser and fiber laser welding of thin sheet aluminum alloy[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2013, (2): 27-30.
[5]	WU Song-ping, WANG Chun-ming, HU Lun-ji, HU Xi-yuan. Characteristic signal analysis and its identification of typical weld penetration status in laser welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (7): 69-73.
[6]	QI Fang-juan, HUO Li-xing, ZHANG Yu-feng, JING Hong-yang, ZHAO Hai-shen. Statistic distribution of resistance to initiation property of high density polyethylene gas pipe butt-fusion welded joint[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (3): 49-52.
[7]	JIN Xiao jun, HUO Li xing, ZHANG Yu feng. Statistical Distribution of Fracture Toughness for X65 Pipeline Weld Metal[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2002, (6): 75-78.
[8]	ZHANG Xiao-nan, LI Jun-yue, HUANG Shi-sheng, YANG Yun-qiang, LI Huan. Statistical Analyzing Evaluation Method of Dynamic Characteristic of CO₂ Arc Welding Power Source[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2001, (3): 12-16.
[9]	LIU Min, CHEN Shi-xuan, HUO Li-xing, ZHANG Yu-feng. Numerical Model Method for Statistic Distribution of Ductile Fracture Toughness[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2000, (2): 14-17.
[10]	Wang Lijun, Zhang Yanhua. Statisic characteristics of stress concentration factor at weld toes[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1992, (2): 92-98.

Cited By

Cited by

Periodical cited type(2)

1.	孙谦，黄瑞生，徐富家，曹浩，李林，宋扬，马强. 介观领域中的激光熔透信号物理特性研究. 焊接学报. 2024(07): 27-33+40 . 本站查看
2.	陈月峰，王树昂，赵飞，陈金强，程定富，孙云翔. 自动焊图像处理技术的发展及应用研究. 焊接技术. 2021(03): 1-5 .

Other cited types(1)

Get Citation

PDF

XML

Article views (375) PDF downloads (16) Cited by(3)

Turn off MathJax

Article Contents

Abstract

References

Study on penetration recognition method of laser welding for Q235 steel based on signal mesoscopic extraction and statistical analysis