留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

DP780胶接点焊试件拉伸损伤过程的声发射特征分析

王凯伟 曾凯 邢保英 易金权

王凯伟, 曾凯, 邢保英, 易金权. DP780胶接点焊试件拉伸损伤过程的声发射特征分析[J]. 机械科学与技术, 2021, 40(12): 1898-1903. doi: 10.13433/j.cnki.1003-8728.20200299
引用本文: 王凯伟, 曾凯, 邢保英, 易金权. DP780胶接点焊试件拉伸损伤过程的声发射特征分析[J]. 机械科学与技术, 2021, 40(12): 1898-1903. doi: 10.13433/j.cnki.1003-8728.20200299
WANG Kaiwei, ZENG Kai, XING Baoying, YI Jinquan. Acoustic Emission Characteristic Analysis of Tensile Damage Process for DP780 Weld Bonding Specimens[J]. Mechanical Science and Technology for Aerospace Engineering, 2021, 40(12): 1898-1903. doi: 10.13433/j.cnki.1003-8728.20200299
Citation: WANG Kaiwei, ZENG Kai, XING Baoying, YI Jinquan. Acoustic Emission Characteristic Analysis of Tensile Damage Process for DP780 Weld Bonding Specimens[J]. Mechanical Science and Technology for Aerospace Engineering, 2021, 40(12): 1898-1903. doi: 10.13433/j.cnki.1003-8728.20200299

DP780胶接点焊试件拉伸损伤过程的声发射特征分析

doi: 10.13433/j.cnki.1003-8728.20200299
基金项目: 

国家自然科学基金项目 51565022

详细信息
    作者简介:

    王凯伟(1996-), 硕士研究生, 研究方向为薄板连接件状态监测和故障诊断技术, 495816334@qq.com

    通讯作者:

    曾凯, 副教授, 硕士生导师, kmzk201109@163.com

  • 中图分类号: TG441

Acoustic Emission Characteristic Analysis of Tensile Damage Process for DP780 Weld Bonding Specimens

  • 摘要: 针对1.2 mm厚的DP780高强钢板, 进行胶接点焊响应面实验。采集胶焊接头拉伸过程的声发射信号, 拟合拉伸过程撞击计数的历程图, 对信号进行小波包分解并分析归一化能量特征, 对比分析胶焊接头界面撕裂与基板撕裂失效形式声发射信号时域及频域特征, 并建立胶层失效时的累计撞击计数与焊接工艺参数之间的回归模型。结果表明: 界面撕裂与基板撕裂失效形式在屈服和断裂阶段产生声发射信号, 且两种失效形式对应阶段频率分布相似, 屈服阶段与断裂瞬间频率分别分布于31.25~281.25 kHz和31.25~125 kHz, 但界面撕裂失效在胶层断裂瞬间比基板撕裂失效产生更多组声发射信号; 胶层失效时累计撞击计数与焊接电流存在负相关性。
  • 图  1  试件的尺寸及形状

    图  2  信号采集示意图

    图  3  拉伸过程撞击计数历程图

    图  4  胶层失效阶段声发射频域频域

    图  5  胶层失效瞬间声发射时域信号

    图  6  焊核屈服声发射信号频域

    图  7  基板撕裂后声发射信号频域

    图  8  焊接工艺参数与撞击计数回归模型

    表  1  因素范围及水平表

    编号 因素名称 水平编码
    -1 0 1
    x1 焊接电流/kA 7 8 9
    x2 焊接时间/ms 100 125 150
    x3 电极压力/MPa 0.3 0.35 0.4
    下载: 导出CSV

    表  2  方差分析表

    模型 项目及因素 平方和SS 自由度f 均方误差MS 检验值F P值Prob > F 显著性
    累计撞击
    计数
    模型 491 600 000 6 81 930 000 12.35 0.001 2 显著
    x1 277 800 000 1 277 800 000 41.87 0.000 2
    x2 25 580 000 1 25 580 000 3.85 0.085 2
    x3 54 880 000 1 54 880 000 8.27 0.020 6
    x1x3 27 950 000 1 27 950 000 4.21 0.0742
    x22 74 960 000 1 74 960 000 11.30 0.009 9
    x32 37 470 000 1 37 470 000 5.65 0.044 8
    失拟项 44 620 000 8 7 437 000 1.76 0.405 9 不显著
    下载: 导出CSV
  • [1] PETRIE E M. Weldbonding-A hybrid method of assembly[J]. Metal Finishing, 2013, 111(2): 42-44 doi: 10.1016/S0026-0576(13)70163-6
    [2] XIAO Z J, ZENG K, HE X C, et al. Fatigue strength and failure analysis of weld-bonded joint of stainless steel[J]. The Journal of Adhesion, 2019, 95(3): 187-203 doi: 10.1080/00218464.2017.1414605
    [3] 张龙, 曾凯, 何晓聪, 等. 钛合金胶接点焊与电阻点焊接头性能对比分析[J]. 焊接学报, 2018, 39(1): 55-60 https://www.cnki.com.cn/Article/CJFDTOTAL-HJXB201801013.htm

    ZHANG L, ZENG K, HE X C, et al. Comparison of joint performance between spot weld bonding and resistance spot welding of titanium alloy[J]. Transactions of the China Welding Institution, 2018, 39(1): 55-60 (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HJXB201801013.htm
    [4] DROUBI M G, FAISAL N H, ORR F, et al. Acoustic emission method for defect detection and identification in carbon steel welded joints[J]. Journal of Constructional Steel Research, 2017, 134: 28-37 doi: 10.1016/j.jcsr.2017.03.012
    [5] HE K F, XIA Z X, SI Y, et al. Noise reduction of welding crack AE signal based on EMD and wavelet packet[J]. Sensors, 2020, 20(3): 761 doi: 10.3390/s20030761
    [6] LUO Y, LI J L, WU W. Characterization of nugget nucleation quality based on the structure-borne acoustic emission signals detected during resistance spot welding process[J]. Measurement, 2013, 46(3): 1053-1060 doi: 10.1016/j.measurement.2012.11.016
    [7] 罗怡. 基于结构负载声发射检测的低碳钢板电阻点焊飞溅表征[J]. 机械工程学报, 2014, 50(14): 150-154 https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB201414025.htm

    LUO Y. Expulsion characterization for resistance spot welding of low carbon steel based on structure-borne acoustic emission signals detection[J]. Journal of Mechanical Engineering, 2014, 50(14): 156-160 (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB201414025.htm
    [8] LUO Y, WAN R, XIE X J, et al. Expulsion analysis of resistance spot welding on zinc-coated steel by detection of structure-borne acoustic emission signals[J]. The International Journal of Advanced Manufacturing Technology, 2016, 84(9-12): 1995-2002 doi: 10.1007/s00170-015-7846-z
    [9] 罗怡, 谢小健, 朱洋, 等. 铝合金脉冲MIG焊接熔滴过渡行为的声发射信号时频域表征[J]. 焊接学报, 2015, 36(4): 83-86, 91 https://www.cnki.com.cn/Article/CJFDTOTAL-HJXB201504020.htm

    LUO Y, XIE X J, ZHU Y, et al. 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 (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HJXB201504020.htm
    [10] 张一辉, 张文斌, 许飞云, 等. Q235B钢板拉伸损伤试验的声发射特性[J]. 振动与冲击, 2015, 34(15): 156-161 https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201515029.htm

    ZHANG Y H, ZHANG W B, XU F Y, et al. Acoustic emission characteristics of Q235B steel plates on tensile damage testing[J]. Journal of Vibration and Shock, 2015, 34(15): 156-161 (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDCJ201515029.htm
    [11] 雷经发, 邬竞雄, 刘涛, 等. Q235钢拉伸过程声发射能量谱与奇异性指数特征提取[J]. 机械科学与技术, 2019, 38(12): 1954-1959 doi: 10.13433/j.cnki.1003-8728.20190280

    LEI J F, WU J X, LIU T, et al. Feature extraction of acoustic emission energy spectrum and singularity index in tensile process of Q235 steel[J]. Mechanical Science and Technology for Aerospace Engineering, 2019, 38(12): 1954-1959 (in Chinese) doi: 10.13433/j.cnki.1003-8728.20190280
    [12] HERBELOT C, HOANG T D, IMAD A, et al. Damage mechanisms under tension shear loading in friction stir spot welding[J]. Science and Technology of Welding and Joining, 2010, 15(8): 688-693
    [13] 高双胜, 易冠英, 赵宸, 等. S线缺陷对搅拌摩擦焊接头断裂机制的影响[J]. 热加工工艺, 2016, 45(7): 198-199, 206 https://www.cnki.com.cn/Article/CJFDTOTAL-SJGY201607057.htm

    GAO S S, YI G Y, ZHAO C, et al. Influence of S curve defect on fracture mechanism of friction stir welding joints[J]. Hot Working Technology, 2016, 45(7): 198-199, 206 (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SJGY201607057.htm
    [14] AMER A O, GLOANEC A L, COURTIN S, et al. Characterization of fatigue damage in 304L steel by an acoustic emission method[J]. Procedia Engineering, 2013, 66: 651-660 doi: 10.1016/j.proeng.2013.12.117
  • 加载中
图(8) / 表(2)
计量
  • 文章访问数:  108
  • HTML全文浏览量:  32
  • PDF下载量:  14
  • 被引次数: 0
出版历程
  • 收稿日期:  2020-06-21
  • 刊出日期:  2021-12-05

目录

    /

    返回文章
    返回