Study on Practical Application for In-process Detection Method of Blowholes

被引:0
作者
Kasano K. [1 ]
Ogino Y. [2 ]
Sano T. [2 ]
Asai S. [3 ]
机构
[1] Sumitomo Heavy Industries, LTD
[2] Graduate School of Engineering, Osaka Unive
[3] Joining and Welding Research Institute, Osaka Univ
来源
Yosetsu Gakkai Ronbunshu/Quarterly Journal of the Japan Welding Society | 2021年 / 39卷 / 04期
关键词
Arc phenomena; Blowholes; Image sensing; In-process welding quality management; Welding defects;
D O I
10.2207/QJJWS.39.334
中图分类号
学科分类号
摘要
For the development of in-process Blow Hole(BH) detection and prediction technology, welding system with infrared camera and welding robot was integrated and the authors verified the detection of welding phenomena directly associated with the occurrence of BH. In addition, an image analysis index for welding defect detection and prediction was considered. It was clarified that it is possible to observe the bubbling phenomena just under the arc due to the blow hole generation by the welding system. In addition, it was considered possible to detect and predict the occurrence of BH with high accuracy by analyzing the observation frequency of the bubble generation phenomenon directly under the arc with an appropriate index. © 2021 Japan Welding Society. All rights reserved.
引用
收藏
页码:334 / 346
页数:12
相关论文
共 24 条
[1]  
Hirokazu WADA, YAJIMA Minoru, YAMAUCHI Hiroshi, Progress of Automatic Ultrasonic Testing for Welded Joints, Journal of The Japan Welding Society, 58, 4, (1989)
[2]  
Imai Kenjiro, Takada Kazumori, Ozaki Motonobu, Kanno Yoshiyuki, Tada Satoshi, Fabrication Procedure of Truss Chord Members of Honshu-Shikoku Highway & Railway Bridges, Kawada Technical Report, 4, (1985)
[3]  
Automatic Ultrasonic Testing System "NAISCAN" for Girth Welds of Pipelines, JFE Technical Reports, 27, (2011)
[4]  
Zhang Lu, Basantes-Defaz Alexandra Carmen, Ozevin Didem, Indacochea Ernesto, Real-time monitoring of welding process using air-coupled ultrasonics and acoustic emission, The International Journal of Advanced Manufacturing Technology, 101, (2019)
[5]  
Fujita Y., Ogawa T., Asai S., Yamamoto S., Ohdake T., Ochiai M., DEVELOPMENT OF A WELDING MONITORING SYSTEM FOR IN-PROCESS QUALITY CONTROL OF THICK WALLED PIPE, WELDING IN THE WORLD, 56, pp. 15-25, (2012)
[6]  
ADOLFSSON S., BAHRAMI A., BOLMSJO G., CLAESSON I., On-Line Quality Monitoring in Short-Circuit Gas Metal Arc Welding, (1999)
[7]  
CHU Y.X., HU S.J., HOU W.K., WANG P.C., MARIN S.P., Signature Analysis for Quality Monitoring in Short-Circuit GMAW, WELDING JOURNAL DECEMBER, pp. 336-343, (2004)
[8]  
QUINN T.P., SMITH C., McCOWAN C.N., BLACHOWIAK E., MADIGAN R.B., Arc Sensing for Defects in Constant-Voltage Gas Metal Arc Welding, (1999)
[9]  
Zhang Zhifen, Chen Xizhang, Chen Huabin, Zhong Jiyong, Chen Shanben, Online welding quality monitoring based on feature extraction of arc voltage signal, The International Journal of Advanced Manufacturing Technology, 70, (2014)
[10]  
Wu C.S., POLTE T., REHFELDT D., A Fuzzy Logic System for Process Monitoring and Quality Evaluation in GMAW, WELDING RESEARCH SUPPLIMENT, pp. 34-38, (2001)