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

Q235钢拉伸过程声发射能量谱与奇异性指数特征提取

雷经发 邬竞雄 刘涛 张冰琦

雷经发, 邬竞雄, 刘涛, 张冰琦. 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
引用本文: 雷经发, 邬竞雄, 刘涛, 张冰琦. 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 Jingfa, Wu Jingxiong, Liu Tao, Zhang Bingqi. 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. doi: 10.13433/j.cnki.1003-8728.20190280
Citation: Lei Jingfa, Wu Jingxiong, Liu Tao, Zhang Bingqi. 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. doi: 10.13433/j.cnki.1003-8728.20190280

Q235钢拉伸过程声发射能量谱与奇异性指数特征提取

doi: 10.13433/j.cnki.1003-8728.20190280
基金项目: 

国家自然科学基金项目 61871002

安徽高校自然科学研究重点项目 KJ2016A145

过程装备与控制工程四川省高校重点实验室开放基金项目 GK201714

国家自然科学基金项目 51805003

过程装备与控制工程四川省高校重点实验室开放基金项目 GK201613

详细信息
    作者简介:

    雷经发(1978-), 教授, 博士, 研究方向为生物材料测试技术、数字化设计与制造, rain78828@163.com

    通讯作者:

    刘涛, 副教授, 博士, tao.liu@ahjzu.edu.cn

  • 中图分类号: TH114

Feature Extraction of Acoustic Emission Energy Spectrum and Singularity Index in Tensile Process of Q235 Steel

  • 摘要: 为明确试样拉伸损伤过程声发射信号的变化规律,选取Q235钢试样开展轴向拉伸实验,并进行声发射信号的稳定连续采集。通过小波包分解与重构,提取声发射信号的小波包能量谱及信号幅值的奇异性指数特征。结果表明:信号能量在低频段较为集中,低频段中各频段能量占比随频段增加而降低,而高频段中则相反。随着损伤程度增加,高频能量占总能量比例不断减小,低频能量的总能量占比不断增加,奇异性指数不断下降。当拉伸速率增大时,高频能量在各拉伸损伤阶段的总能量占比不断下降,而低频能量占比和奇异性指数均升高。最后结合拉伸断口进行了宏、微观形貌特征分析。
  • 图  1  多分辨率小波包分解结构

    图  2  试样尺寸

    图  3  声发射传感器布置示意图

    图  4  拉伸速率2 mm/min时能量分布

    图  5  三种拉伸速率各损伤阶段的小波包能量占比

    图  6  各拉伸损伤阶段高频能量的总能量占比

    图  7  各拉伸损伤阶段低频能量的总能量占比

    图  8  拉伸速率2 mm/min时弹性阶段和屈服阶段幅值

    图  9  不同损伤阶段的奇异性指数特征曲线

    图  10  拉伸断口宏观形貌

    图  11  三种拉伸速率下的断口微观形貌

    表  1  Q235钢试样元素质量分数

    元素 质量分数/%
    Fe 98.69
    Mn 0.65
    Cr 0.044
    Co 0.081
    P 0.040
    S 0.045
    C 0.22
    Si 0.23
    下载: 导出CSV

    表  2  各频带对应频率范围

    序列 频率范围
    1 (0, f/16)
    2 (f/16, 2f/16)
    3 (2f/16, 3f/16)
    4 (3f/16, 4f/16)
    5 (4f/16, 5f/16)
    6 (5f/16, 6f/16)
    7 (6f/16, 7f/16)
    8 (7f/16, 8f/16)
    下载: 导出CSV
  • [1] 龙小江, 李秋锋, 何才厚, 等.不同拉伸速率下钢材损伤的声发射监测评价[J].振动与冲击, 2017, 36(7):219-225 http://www.cnki.com.cn/Article/CJFDTotal-ZDCJ201707033.htm

    Long X J, Li Q F, He C H, et al. Acoustic emission monitoring and evaluation for rolled steel damage under different tensile rates[J]. Journal of Vibration and Shock, 2017, 36(7):219-225(in Chinese) http://www.cnki.com.cn/Article/CJFDTotal-ZDCJ201707033.htm
    [2] 李光海, 焦敬品, 王新健, 等.12MnNiVR钢拉伸过程声发射信号特征分析[J].中国机械工程, 2016, 27(13):1760-1766 doi: 10.3969/j.issn.1004-132X.2016.13.012

    Li G H, Jiao J P, Wang X J, et al. Acoustic emission behavior of 12MnNiVR steel under stretching[J]. China Mechanical Engineering, 2016, 27(13):1760-1766(in Chinese) doi: 10.3969/j.issn.1004-132X.2016.13.012
    [3] 邓扬, 丁幼亮, 李爱群.基于小波包分析的拉索损伤声发射信号特征提取[J].振动与冲击, 2010, 29(6):154-158 doi: 10.3969/j.issn.1000-3835.2010.06.036

    Deng Y, Ding Y L, Li A Q. Feature extraction of acoustic emission signals for cable damage based on wavelet packet analysis[J]. Journal of Vibration and Shock, 2010, 29(6):154-158(in Chinese) doi: 10.3969/j.issn.1000-3835.2010.06.036
    [4] 叶赵伟, 朱永成, 左敦稳, 等.基于声发射技术的搅拌摩擦焊接工具磨损监测[J].南京航空航天大学学报, 2018, 50(3):404-410 doi: 10.3969/j.issn.1005-2615.2008.03.026

    Ye Z W, Zhu Y C, Zuo D W, et al. Wear monitoring of friction stir welding tools based on acoustic emission technology[J]. Journal of Nanjing University of Aeronautics & Astronautics, 2008, 50(3):404-410(in Chinese) doi: 10.3969/j.issn.1005-2615.2008.03.026
    [5] 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 http://d.old.wanfangdata.com.cn/Periodical/zdycj201515028

    Zhang Y H, Zhang W B, Xu F Y, et al. Acoustic emission characteristics of Q235B steel plates' tensile damage tests[J]. Journal of Vibration and Shock, 2015, 34(15):156-161(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/zdycj201515028
    [6] Ennaceur C, Laksimi A, Hervé C, et al. Monitoring crack growth in pressure vessel steels by the acoustic emission technique and the method of potential difference[J]. International Journal of Pressure Vessels and Piping, 2006, 83(3):197-204 doi: 10.1016/j.ijpvp.2005.12.004
    [7] Babu M N, Mukhopadhyay C K, Sasikala G, et al. Study of fatigue crack growth in RAFM steel using acoustic emission technique[J]. Journal of Constructional Steel Research, 2016, 126:107-116 doi: 10.1016/j.jcsr.2016.07.007
    [8] Aggelis D G, Soulioti D V, Sapouridis N, et al. Acoustic emission characterization of the fracture process in fibre reinforced concrete[J]. Construction and Building Materials, 2011, 25(11):4126-4131 doi: 10.1016/j.conbuildmat.2011.04.049
    [9] Aggelis D G, Soulioti D V, Barkoula N M, et al. Influence of fiber chemical coating on the acoustic emission behavior of steel fiber reinforced concrete[J]. Cement and Concrete Composites, 2012, 34(1):62-67 doi: 10.1016/j.cemconcomp.2011.07.003
    [10] 廖传军, 罗晓莉, 李学军.小波包在声发射信号特征提取中的应用[J].电子测量与仪器学报, 2008, 22(4):79-85 http://d.old.wanfangdata.com.cn/Periodical/dzclyyqxb200804017

    Liao C J, Luo X L, Li X J. Application of wavelet packet in feature extraction of acoustic emission signal[J]. Journal of Electronic Measurement and Instrument, 2008, 22(4):79-85(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/dzclyyqxb200804017
    [11] 操礼林, 李爱群, 邓扬, 等.声发射和小波包分析在损伤状态监测中的应用[J].振动、测试与诊断, 2012, 32(4):591-595 doi: 10.3969/j.issn.1004-6801.2012.04.013

    Cao L L, Li A Q, Deng Y, et al. Combined application of acoustic emission and wavelet packet analysis on damage condition monitoring of structures[J]. Journal of Vibration, Measurement & Diagnosis, 2012, 32(4):591-595(in Chinese) doi: 10.3969/j.issn.1004-6801.2012.04.013
    [12] 李冬生, 胡倩.碳纤维桥梁拉索疲劳损伤声发射信号小波分析[J].防灾减灾工程学报, 2010, 30(S1):318-322 http://d.old.wanfangdata.com.cn/Periodical/dzxk2010z1066

    Li D S, Hu Q. Wavelet analysis of acoustic emission signals for fatigue damage of carbon fiber bridges[J]. Journal of Disaster Prevention and Reduction Engineering, 2010, 30(S1):318-322(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/dzxk2010z1066
    [13] 钟群鹏, 赵子华, 张峥.断口学的发展及微观断裂机理研究[J].机械强度, 2005, 27(3):358-370 doi: 10.3321/j.issn:1001-9669.2005.03.018

    Zhong Q P, Zhao Z H, Zhang Z. Development of "fractography" and research of fracture micromechanism[J]. Journal of Mechanical Strength, 2005, 27(3):358-370(in Chinese) doi: 10.3321/j.issn:1001-9669.2005.03.018
    [14] Liu S M, Li X L, Li Z H, et al. Energy distribution and fractal characterization of acoustic emission (AE) during coal deformation and fracturing[J]. Measurement, 2019, 136:122-131 doi: 10.1016/j.measurement.2018.12.049
    [15] Qiao X, Weng W X, Li Q. Acoustic emission monitoring and failure behavior discrimination of 8YSZ thermal barrier coatings under Vickers indentation testing[J]. Surface and Coatings Technology, 2019, 358:913-922 doi: 10.1016/j.surfcoat.2018.12.024
    [16] Wang Z H, Wu X, Liu X Q, et al. Research on feature extraction algorithm of rolling bearing fatigue evolution stage based on acoustic emission[J]. Mechanical Systems and Signal Processing, 2018, 113:271-284 doi: 10.1016/j.ymssp.2017.08.001
  • 加载中
图(11) / 表(2)
计量
  • 文章访问数:  406
  • HTML全文浏览量:  299
  • PDF下载量:  19
  • 被引次数: 0
出版历程
  • 收稿日期:  2018-07-24
  • 刊出日期:  2019-12-05

目录

    /

    返回文章
    返回