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DH36钢湿法焊条多层多道焊海试结果分析

程方杰, 刘阳, 高文斌, 王东坡, 刘永良, 许威

程方杰, 刘阳, 高文斌, 王东坡, 刘永良, 许威. DH36钢湿法焊条多层多道焊海试结果分析[J]. 焊接学报, 2017, 38(4): 111-114. DOI: 10.12073/j.hjxb.20170426
引用本文: 程方杰, 刘阳, 高文斌, 王东坡, 刘永良, 许威. DH36钢湿法焊条多层多道焊海试结果分析[J]. 焊接学报, 2017, 38(4): 111-114. DOI: 10.12073/j.hjxb.20170426
CHENG Fangjie, LIU Yang, GAO Wenbin, WANG Dongpo, LIU Yongliang, XU Wei. Analysis of sea test results of underwater wet multi-pass welding of DH36[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2017, 38(4): 111-114. DOI: 10.12073/j.hjxb.20170426
Citation: CHENG Fangjie, LIU Yang, GAO Wenbin, WANG Dongpo, LIU Yongliang, XU Wei. Analysis of sea test results of underwater wet multi-pass welding of DH36[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2017, 38(4): 111-114. DOI: 10.12073/j.hjxb.20170426

DH36钢湿法焊条多层多道焊海试结果分析

Analysis of sea test results of underwater wet multi-pass welding of DH36

  • 摘要: 通过对潜水员焊工的培训,成功实现了不同接头形式的水下湿法手工多层多道焊,并且在渤海海域的11 ,22 m两个水深分别进行了对接接头平焊、搭接接头横焊及立焊和T形接头立焊及船形位置焊的焊接试验.结果表明,在两种水深的对接接头和搭接接头中都未发现夹渣、气孔及未熔合等缺陷,并且两种水深的对接接头和搭接接头在各项力学性能指标上都满足AWS D3.6 M:2010关于B级接头的要求.与11 m水深的焊缝相比,22 m水深的焊缝柱状晶区的针状铁素体减少,块状铁素体明显增多.两种水深接头的热影响区粗晶区组织差异不大,主要由板条状马氏体组成.
    Abstract: In this paper, underwater wet manual multi-pass welding of different joint types was successfully completed through the diver welders after training. Butt joints in the flat position, lap joints in the horizontal and vertical positions, and T-joints in the vertical and flat positions were obtained under 11 m and 22 m water depths in the Bohai Sea. The test results indicate that all of the indexes of the joints welded at 11 m and 22 m water depths meet the requirements of the Class B Weld according to AWS D3.6 M: 2010. Compared with the joints welded at 11m water depth, the microstructures in the weld seam obtained at 22m depth have much more block ferrite and less amounts of acicular ferrite. The coarse-grained heat-affected zones of the joints at the two water depths are mainly composed of lath martensite.
  • [1] Ketan Verma, Harish K Garg. Underwater welding-recent trends and future scope[J]. International Journal on Emerging Technologies, 2012, 3(2): 115-120.
    [2] RoweM, Liu S. Recent developments in underwater wet welding. Science and Technology of Welding and Joining, 2001, 6(6): 387-395.
    [3] 胡家琨, 武传松, 贾传宝. 水下湿法焊条电弧焊接过程稳定性评价[J]. 焊接学报, 2013, 34(5): 99-102. Hu Jiakun, Wu Chuansong, Jia Chuanbao. Welding process stabil-ity evaluation of underwater wet manual metal arc welding[J]. Transactions of the China Welding Institution, 2013, 34(5): 99-102.
    [4] 程方杰, 胡生辉, 邓彩艳, 等. 水下焊条电弧焊扩散氢含量及焊缝组织特征分析[J]. 焊接学报, 2014, 35(5): 45-48. Cheng Fangjie, Hu Shenghui, Deng Caiyan, et al. Diffusible hydrogen content and microstructure characteris-tic in the joint by underwater shielded metal arc welding[J]. Transactions of the ChinaWelding Institution, 2014, 34(5): 45-48.
    [5] Americon National Standard. Underwater welding code: AWS D3.6M-2010[S]. Miami: Americon welding society, 2010.
    [6] 张文钺. 焊接冶金学[M]. 北京: 机械工业出版社, 1999.
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  • 收稿日期:  2015-03-20

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