Advanced Search
YU Peng, CAI Zhengbiao, ZHAO Mingming, LIU Peng, ZHANG Wenming. Stability evaluation of welding process based on frequency-domain characterization of welding electrical signal[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2023, 44(4): 105-110. DOI: 10.12073/j.hjxb.20220709001
Citation: YU Peng, CAI Zhengbiao, ZHAO Mingming, LIU Peng, ZHANG Wenming. Stability evaluation of welding process based on frequency-domain characterization of welding electrical signal[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2023, 44(4): 105-110. DOI: 10.12073/j.hjxb.20220709001

Stability evaluation of welding process based on frequency-domain characterization of welding electrical signal

More Information
  • Received Date: July 08, 2022
  • Available Online: April 24, 2023
  • In this paper, a series of welding tests are carried out by adjusting the pulse waveform parameters of the welding power supply. Changes of the welding current signal are compared and analyzed after modifying pulse current peak coefficient, pulse current peak time coefficient, pulse current base value coefficient, pulse current rising coefficient and pulse current falling coefficient. Ensemble empirical mode decomposition (EEMD) method is adopted to decompose the welding current signal collected in real time during the welding process. The welding current signal and a series of intrinsic mode function (IMF) were analyzed in time-frequency domain. Then, the stability of welding process was evaluated according to the analysis results and weld surface morphology. The test results show that the EEMD method can be used to resolve the characteristic IMF closely related to the short-circuit transition process from the welding current signal. Compared with the unstable welding process, the characteristic IMF spectrum distribution is significantly different. The narrower the frequency distribution range of the characteristic IMF, the more stable the welding process, the smaller the welding splash, and the better the weld surface.
  • 张栋, 陈茂爱, 武传松. 高速CMT焊送丝速度和焊接电流波形参数的优化[J]. 焊接学报, 2018, 39(1): 119 − 122.

    Zhang Dong, Chen Maoai, Wu Chuansong. Optimization of waveform parameters for high speed CMT welding of steel[J]. Transactions of the China Welding Institution, 2018, 39(1): 119 − 122.
    于世宝, 赵中秋, 高忠林, 等. 脉冲频率对三丝间接电弧焊稳定性的影响[J]. 焊接学报, 2021, 42(2): 92 − 96.

    Yu Shibao, Zhao Zhongqiu, Gao Zhonglin, et al. Effect of pulse frequency on the stability of triple-wire indirect arc welding[J]. Transactions of the China Welding Institution, 2021, 42(2): 92 − 96.
    张理, 郭震, 周伟, 等. 焊接速度和焊接电流对竖向高速GMAW驼峰焊缝的影响[J]. 焊接学报, 2020, 41(4): 56 − 61. doi: 10.12073/j.hjxb.20191021001

    Zhang Li, Guo Zhen, Zhou Wei, et al. Effect of welding speed and welding current on humping bead of vertical high-speed GMAW[J]. Transactions of the China Welding Institution, 2020, 41(4): 56 − 61. doi: 10.12073/j.hjxb.20191021001
    陈树君, 郝键, 李方, 等. 铝合金电阻点焊压力信号的动态特征分析[J]. 焊接学报, 2020, 41(3): 1 − 6.

    Chen Shujun, Hao Jian, Li Fang, et al. Dynamic characteristics analysis of resistance spot welding pressure signal of aluminum alloy[J]. Transactions of the China Welding Institution, 2020, 41(3): 1 − 6.
    Wang Ying, Lyu Xiaoqing, Wang Lijun. Test for random in electrical signals time series of CO2 short circuit transition welding process by the method of surrogate data[J]. China Welding, 2016, 25(1): 21 − 29.
    Kumar M, Moinuddin S Q, Kumar S S, et al. Discrete wavelet analysis of mutually interfering co-existing welding signals in twin-wire robotic welding[J]. Journal of Manufacturing Processes, 2021, 63: 139 − 151. doi: 10.1016/j.jmapro.2020.04.048
    Mvola B, Kah P, Layus P. Review of current waveform control effects on weld geometry in gas metal arc welding process[J]. The International Journal of Advanced Manufacturing Technology, 2018, 96(9): 4243 − 4265.
    Luksa K. Influence of weld imperfection on short circuit GMA welding arc stability[J]. Journal of Materials Processing Technology, 2006, 175(1-3): 285 − 290. doi: 10.1016/j.jmatprotec.2005.04.053
    Wu C S, Chen M A, Lu Y F. Effect of current waveforms on metal transfer in pulsed gas metal arc welding[J]. Measurement Science and Technology, 2005, 16(12): 2459 − 2465. doi: 10.1088/0957-0233/16/12/009
    Sumesh A, Rameshkumar K, Raja A, et al. Establishing correlation between current and voltage signatures of the arc and weld defects in GMAW process[J]. Arabian Journal for Science and Engineering, 2017, 42(11): 4649 − 4665. doi: 10.1007/s13369-017-2609-9
    Gao X, Wang L, Chen Z, et al. Process stability analysis and weld formation evaluation during disk laser-mag hybrid welding[J]. Optics and Lasers in Engineering, 2020, 124: 105835 − 105835. doi: 10.1016/j.optlaseng.2019.105835
  • Related Articles

    [1]CHEN Shujun, HAO Jian, LI Fang, WU Na. Dynamic characteristics analysis of resistance spot welding pressure signal of aluminum alloy[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2020, 41(3): 1-6. DOI: 10.12073/j.hjxb.20190124002
    [2]ZHANG Dong1,2, CHEN Maoai1, WU Chuansong1. Optimization of waveform parameters for high speed CMT welding of steel[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(1): 118-122. DOI: 10.12073/j.hjxb.2018390027
    [3]LUO Yi, XIE Xiaojian, ZHU Yang, WAN Rui, HU Shaoqiu. Time and frequency domain analysis of metal droplet transfer by acoustic emission signals during pulse MIG welding of aluminum alloy[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(4): 83-86,91.
    [4]GAO Xiangdong, JIANG Liangzheng, LONG Guanfu. Detection of welding pool width with frequency domain filtering in strong arc reflection environment[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2013, (8): 5-8.
    [5]PAN Cunhai, DU Sumei, SONG Yonglun. Displacement signal time-frequency domain analysis and quality judgment of aluminum alloy resistance spot welding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2007, (7): 33-36.
    [6]ZHANG Xu-dong, CHEN Wu-zhu, LIU Chun, GUO Jing. Coaxial monitoring and penetration control in CO2 laser welding (Ⅱ)-Frequency-field characteristics of coaxial optical signals[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2004, (5): 25-28,32.
    [7]Chen Yanming, Wang Zhiqiang, Cao Biao, et al. A General Approach for Frequency-domain Design of Arc Welding Inverter[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2000, (1): 87-89.
    [8]Pi Youguo, Liang Guangyang, Huang Shisheng. Frequency Domain Mathematical Model of Arc Welding Converter[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1999, (1): 70-76.
    [9]Qi Bojin, Pan Jiluan. Frequency Domain Method for Mesuring Dynamic Properties of Arc Welding Power Sources[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1996, (4): 243-248.
    [10]Zhang Libin, Liu Haikuan, Yao Yuhuan, Zhao Enmin, Zhang Yawei. Application of frequency domain analysis to SCR rectifier source[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 1995, (3): 146-152.
  • Cited by

    Periodical cited type(1)

    1. 刘少意,严文荣,陈振明,乔家伟,杨高阳,张新明,王绿原,王克鸿. 机器人智能化焊接技术发展综述. 金属加工(热加工). 2025(06): 1-12 .

    Other cited types(1)

Catalog

    Article views (251) PDF downloads (54) Cited by(2)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return