Advanced Search
YANG Mingxuan, QI Bojin, CONG Baoqiang, WANG Lexiao. Microstructure and properties of titanium alloys welds using ultrasonic frequency pulse GTAW[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (6): 39-42.
Citation: YANG Mingxuan, QI Bojin, CONG Baoqiang, WANG Lexiao. Microstructure and properties of titanium alloys welds using ultrasonic frequency pulse GTAW[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2012, (6): 39-42.

Microstructure and properties of titanium alloys welds using ultrasonic frequency pulse GTAW

More Information
  • Received Date: April 24, 2011
  • Based on butt welding during Ti-6Al-4V(TC4) titanium alloys plate with the thickness of 1.5mm,microstructure of weld face and properties of welded joint were investigated by ultrasonic frequency pulse gas tungsten arc welding(GTAW).Compared with conventional direct current GTAW process,the experimental results show that ultrasonic frequency pulse current causes the energy concentration with an obvious pinch effect of arc plasma and the increasing escape speed of gas pore.Grain refining and the elimination of gas pore are due to the enhancement of fluid flow by ultrasonic frequency pulse GTAW process for Ti-6Al-4V titanium alloys.The main structure of subcrystal is the basketweave microstructure composed of rod-shaped martensite or the interlaced microstructure composed of both rod-shaped and plate phase.Similarly,ultrasonic frequency pulse GTAW process could also improve the elongation and reduction of area.
  • Related Articles

    [1]LUO Liuxiang, XING Yanfeng. CMT spot welding deformation of sheet metal based on BP neural network and genetic algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(4): 79-83. DOI: 10.12073/j.hjxb.2019400104
    [2]ZHOU Jianping, XU Yan, CAO Jiong, YIN Yiliang, XU Yihao. High power supply optimization design based on BP neural network and genetic algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(4): 9-13.
    [3]LIU Lipeng, WANG Wei, DONG Peixin, WEI Yanhong. Mechanical properties predication system for welded joints based on neural network optimized by genetic algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (7): 105-108.
    [4]YAO Jingzheng, HAN Duanfeng, MIAO Yugang. Application of genetic algorithm in assembling based on welding speed[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (6): 89-92.
    [5]WEN Jianli, LIU Lijun, LAN Hu. Penetration state recognition of MIG welding based on genetic wavelet neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (8): 41-44.
    [6]ZHANG Genyuan, XU Maili, TIAN Songya, Wen Fang. Genetic algorithm of grain growth in heat-affected zone of 45 steel AC flash butt welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2009, (6): 79-82.
    [7]DONG Zhibo, WEI Yanhong, Zhan Xiaohong, WEI Yongqiang. Optimization of mechanical properties prediction models of welded joints combined neural network with genetic algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2007, (12): 69-72.
    [8]LIU Yong, Wang Kehong, Yang Jingyu. Optimal path modeling for redundant robot based on genetic algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2007, (11): 25-28.
    [9]CUI Xiaofang, MA Jun, ZHAO Haiyan, ZHAO Wenzhong, MENG Kai. Optimization of welding sequences of box-like structure based on a genetic algorithm method[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (8): 5-8.
    [10]LEI YU-cheng, ZHANG Cheng, CHENG Xiao-nong, CHEN Xi-zhang. Study in GTAW of fuzzy neural controller based genetic algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2003, (4): 47-50.

Catalog

    Article views (210) PDF downloads (91) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return