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ZHOU Zheng1, WANG Guoqing2, SONG Jianlin3, ZHAO Hongxing1, YANG Chunli1. Microstructure and mechanical properties of 2219 aluminum alloys TIG welding welded joints in different shielding gases[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(7): 47-50. DOI: 10.12073/j.hjxb.2018390173
Citation: ZHOU Zheng1, WANG Guoqing2, SONG Jianlin3, ZHAO Hongxing1, YANG Chunli1. Microstructure and mechanical properties of 2219 aluminum alloys TIG welding welded joints in different shielding gases[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(7): 47-50. DOI: 10.12073/j.hjxb.2018390173

Microstructure and mechanical properties of 2219 aluminum alloys TIG welding welded joints in different shielding gases

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  • Received Date: September 10, 2017
  • The microstructure and mechanical properties of 2219 aluminum alloys welded joints of helium shielded TIG welding and argon shielded TIG welding were investigated. The results show that, the width of the weld bead, the concavity and the width of heat affected zone in helium shielded TIG welding are smaller than those in argon shielded TIG welding. The microstructure and second-phase of them are similar. The grains in weld area are isometric. In heat affected zone, grain are coarse stripes, and there are the α aluminum substrate, the inter-metallic compound Al2Cu and some eutectic structure. The amount of the second-phase particles in weld zone is larger than that in heat affected zone. The tensile strength of the welded joints are similar, and the fracture modes are both ductile fracture. The elongation and hardness of the welded joint of helium shielded TIG welding are larger.
  • 张勤练. 柔性变极性等离子弧特性及铝合金横焊穿孔熔池行为[D]. 哈尔滨:哈尔滨工业大学, 2015.
    刘志华, 赵兵, 赵青. 21世纪航天工业铝合金焊接工艺技术展望[J]. 导弹与航天运载技术, 2002(5):63-68. Liu Zhihua, Zhao Bing, Zhao Oing. Prospects for welding technology of aluminum alloy in aerospace industry in 21st century[J]. Missiles and Space Vehicles, 2002(5):63-68.
    王元良, 屈金山. 铝合金焊接性能及焊接接头性能[J]. 中国有色金属学报, 1997, 7(1):69-74. Wang Yuanliang, Qu Jinshan. Weldability of aluminium alloys and properties of weld joints[J]. The Chinese Journal of Nonferrous Metals, 1997, 7(1):69-74.[DOI: 10.3321/j.issn:1004-0609.1997.01.017]
    Sire S, Rucketr G, Marya S. Flux optimization for enhanced weld penetration in aluminum contribution to FBTIG process[J]. Welding in the World, 2002, 46:207-217.
    Yuan Heran, Lin Sanbao, Yang Chunli, et al. Microstructure and porosity analysis in ultrasonic assisted TIG welding of 2014 aluminum alloy[J]. China Welding, 2011, 20(1):39-43
    林三宝, 范成磊, 杨春利. 高效焊接方法[M]. 北京:机械工业出版社, 2012.
    朱正行, 杨君仁, 倪纯珍. 钨极氦气保护电弧焊电弧行为的研究[J]. 焊接学报, 1984, 5(01):37-42. Zhu Zhengxing, Yong Junren, Ni Chunzhen. Studies of welding arc behavior in the helium atmosphere[J]. Transactions of the China Welidng Institution, 1984, 5(01):37-42.
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