Study on the application of the weld reinforcement variation coefficient in underwater wet welding quality evaluation

被引:0
|
作者
Du Y. [1 ,3 ]
Guo N. [1 ,2 ]
Wu C. [1 ,2 ]
Huang L. [1 ,2 ]
Zhang X. [1 ,2 ]
Feng J. [1 ,2 ]
机构
[1] Shandong Provincial Key Laboratory of Special Welding Technology, Harbin Institute of Technology at Weihai, Weihai
[2] State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin
[3] Institute of Ocean graphic Instrumentation, Shandong Academy of Science, Qingdao
来源
Hanjie Xuebao/Transactions of the China Welding Institution | 2020年 / 41卷 / 02期
关键词
Underwater wet welding; Variation coefficient; Weld reinforcement; Welding quality;
D O I
10.12073/j.hjxb.20190917001
中图分类号
学科分类号
摘要
There is a lack of an evaluation index which can assess the appearance of welds user-friendly and accurately in underwater wet welding. To solve this problem, the weld reinforcement variation coefficient is proposed to be used for evaluating the welding quality. The evaluation index has many advantages such as objective, quantitative, less step and easy operation, which is suitable for popularization and application in practical engineering production. The weld reinforcement variation coefficient grows higher with the worse the uniformity of weld appearance and the lower the welding quality and vice versa. According to the influence of pulse current on the stability of welding process, welding was carried out under different pulse frequency conditions. In view of the influence of wire feeding method on welding process, the stability of underwater wet flux-cored wire welding process was studied by analyzing the wire feeding method with the coefficient of variation of residual high welding seam. The experimental results show that the evaluation results of the index have high consistency with welding quality. The influences of the welding process on the weld reinforcement variation coefficient are analyzed using an X-ray transmission method. The reliability of the weld reinforcement variation coefficient is further verified by researching the welding electrical signal and droplet transfer. © 2020, Editorial Board of Transactions of the China Welding Institution, Magazine Agency Welding. All right reserved.
引用
收藏
页码:24 / 27and32
页数:2708
相关论文
共 16 条
  • [11] Galantucci L, Tricarico L, Spina R, A quality evaluation method for laser welding of Al alloys through neural networks, CIRP Annals-Manufacturing Technology, 49, 1, pp. 131-134, (2000)
  • [12] (2013)
  • [13] Wu Qingsheng, He Jingshan, Feng Jicai, Characterization parameter of aluminum alloy weld appearance of electron beam welding, Transactions of the China Welding Institution, 27, 3, pp. 1-4, (2006)
  • [14] Li Xingcheng, Li Huan, Liang Xiujuan, Et al., Features of droplet transfer with changing pulse frequency during double-wire pulse MIG welding, Welding & Joining, 11, pp. 30-35, (2006)
  • [15] Carvalho L, Paiva A, Leme R, Et al., Optimization methodology of alternating current P-GMAW process by voltage-current signal analysis, International Journal of Advanced Manufacturing Technology, 86, 1-4, pp. 1-16, (2015)
  • [16] Guo N, Fu Y, Du Y, Classification of metal transfer mode in underwater wet welding, Welding Journal, 95, 4, pp. 133-140, (2016)