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DONG Xiaojing, LI Huan, YANG Lijun, LIANG Yu. Microstructure and mechanical properties of pulse MIG aluminum alloy welded joints by means of a novel multi-strands composite welding wire[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(11): 61-67. DOI: 10.12073/j.hjxb.2019400289
Citation: DONG Xiaojing, LI Huan, YANG Lijun, LIANG Yu. Microstructure and mechanical properties of pulse MIG aluminum alloy welded joints by means of a novel multi-strands composite welding wire[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(11): 61-67. DOI: 10.12073/j.hjxb.2019400289

Microstructure and mechanical properties of pulse MIG aluminum alloy welded joints by means of a novel multi-strands composite welding wire

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  • Received Date: April 12, 2019
  • In this study, a novel multi-strand composite welding wire was adopted in 5A06 aluminum pulse MIG welding method, and the microstructures and properties of aluminum alloy multi-strand composite wire welded joints were compared with those of traditional TIG welded joint. The results show that the welded joint used by this novel wire has a better tensile strength, which reaches up to 340 MPa (86.7% of the base metal). The performance of MIG welded joint is similar to that of TIG welded joint, and it can improve welding efficiency by about 4 times. It is also found that the softening of the heat affected zone of the welded joint is mainly affected by the larger grain size and the higher recrystallization ratio, the lower Mg content as well as the coarsening and reduction of the precipitated phase caused by higher heat input. In addition, the pulse MIG welding method with this novel wire can reduce the heat input in welding process, refine grains, and can significantly weaken the loss of Mg element and precipitation. Based on these advantages, the softening of the pulse MIG welded joint decreases and the excellent properties of welded joint can be obtained.
  • Hadadzadeh A, Ghaznavi M M, Kokabi A H. HAZ softening behavior of strain-hardened Al-6.7 Mg alloy welded by GMAW and pulsed GMAW processes[J]. The International Journal of Advanced Manufacturing Technology, 2017, 92(5-8):2255-2265.
    Wang Y, Wei B, Guo Y, et al. Microstructure and mechanical properties of the joint of 6061 aluminum alloy by plasma-MIG hybrid welding[J]. China Welding, 2017, 26(2):58-64.
    Hadadzadeh A, Ghaznavi M M, Kokabi A H. The effect of gas tungsten arc welding and pulsed-gas tungsten arc welding processes parameters on the heat affected zone-softening behavior of strain-hardened Al-6.7 Mg alloy[J]. Materials & Design, 2014, 55(3):335-342.
    金礼, 徐敏, 薛家祥, 等. 热输入对铝合金双脉冲MIG焊接头性能的影响[J]. 焊接学报, 2018, 39(1):89-92 Jin Li, Xu Min, Xue Jiaxiang, et al. Effect of line energy on properties of aluminum alloy joints in double pulsed MIG welding[J]. Transactions of the China Welding Institution, 2018, 39(1):89-92
    陆江旭. 5A06铝合金TIG焊焊接接头性能研究与高韧性高强度铝合金焊丝研制[D]. 杭州:浙江大学, 2016.
    高顶, 阿兰?托马斯?麦尔, 郝锋. 中国矿业大学. 一种多股绞合焊丝:中国, 201455562U[P]. 2010–05–12.
    Fang C, Chen Y, Yang Z, et al. Cable-type welding wire submerged arc surfacing[J]. Journal of Materials Processing Technology, 2017, 249(11):25-31.
    Yan S, Nie Y, Zhu Z, et al. Characteristics of microstructure and fatigue resistance of hybrid fiber laser-MIG welded Al-Mg alloy joints[J]. Applied Surface Science, 2014, 298(11):12-18.
    李念奎, 凌昊, 聂波, 等. 铝合金材料及其热处理技术[M]. 北京:冶金工业出版社, 2012.
    Dongxia Y, Xiaoyan L, Dingyong H, et al. Effect of minor Er and Zr on microstructure and mechanical properties of Al-Mg-Mn alloy (5083) welded joints[J]. Materials Science and Engineering A, 2013, 561(3):226-231.
    Kim Dongyoon, Kim Dongcheol, Kang Munjin, et al. Effect of aluminum welding wire Mg content on the mechanical properties of Al 5083 alloy weld metal[J]. Journal of Korean Institute of Metal and Materials, 2017, 55(10):716-723.
    Howeyze M, Arabi H, Eivani A R, et al. Strengthening of AA5052 aluminum alloy by equal channel angular pressing followed by softening at room temperature[J]. Materials Science and Engineering A, 2018, 720(12):160-168.
    Lu J, Wu X, Liu Z, et al. Microstructure and mechanical properties of ultrafine-grained copper produced using intermittent ultrasonic-assisted equal-channel angular pressing[J]. Metallurgical and Materials Transactions A, 2016, 47(9):4648-4658.
    Chen Y, Miao Y, Li L, et al. Joint performance of laser-TIG double-side welded 5A06 aluminum alloy[J]. Transactions of Nonferrous Metals Society of China, 2009, 19(1):26-31.
    Zhang L, Li X, Nie Z, et al. Comparison of microstructure and mechanical properties of TIG and laser welding joints of a new Al-Zn-Mg-Cu alloy[J]. Materials & Design, 2016, 92(4):880-887.
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