Investigation of Material Performance Degradation for High-Strength Aluminum Alloy Using Acoustic Emission Method

被引:4
作者
Ai, Yibo [1 ]
Sun, Chang [1 ]
Que, Hongbo [2 ]
Zhang, Weidong [1 ]
机构
[1] Univ Sci & Technol Beijing, Natl Ctr Mat Serv Safety, Beijing 100083, Peoples R China
[2] China South Locomot & Rolling Stock Corp Ltd, Qishuyan Inst Co Ltd, Changzhou 213011, Peoples R China
来源
METALS | 2015年 / 5卷 / 01期
基金
中国国家自然科学基金;
关键词
DAMAGE;
D O I
10.3390/met5010228
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Structural materials damages are always in the form of micro-defects or cracks. Traditional or conventional methods such as micro and macro examination, tensile, bend, impact and hardness tests can be used to detect the micro damage or defects. However, these tests are destructive in nature and not in real-time, thus a non-destructive and real-time monitoring and characterization of the material damage is needed. This study is focused on the application of a non-destructive and real-time acoustic emission (AE) method to study material performance degradation of a high-strength aluminum alloy of high-speed train gearbox shell. By applying data relative analysis and interpretation of AE signals, the characteristic parameters of materials performance were achieved and the failure criteria of the characteristic parameters for the material tensile damage process were established. The results show that the AE method and signal analysis can be used to accomplish the non-destructive and real-time detection of the material performance degradation process of the high-strength aluminum alloy. This technique can be extended to other engineering materials.
引用
收藏
页码:228 / 238
页数:11
相关论文
共 18 条
  • [11] Quantification of damage evolution in a 7075 aluminum alloy using an acoustic emission technique
    Lugo, Marcos
    Jordon, J. B.
    Horstemeyer, M. F.
    Tschopp, M. A.
    Harris, J.
    Gokhale, A. M.
    [J]. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2011, 528 (22-23): : 6708 - 6714
  • [12] Waveform-based selection of acoustic emission events generated by damage in composite materials
    Maillet, Emmanuel
    Morscher, Gregory N.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2015, 52-53 : 217 - 227
  • [13] New stability index for short circuit transfer mode in GMAW process using acoustic emission signals
    Roca, A. Sanchez
    Fals, H. Carvajal
    Fernandez, J. Blanco
    Macias, E. Jimenez
    Adan, F. Sanz
    [J]. SCIENCE AND TECHNOLOGY OF WELDING AND JOINING, 2007, 12 (05) : 460 - 466
  • [14] Artificial neural networks and acoustic emission applied to stability analysis in gas metal arc welding
    Sanchez Roca, A.
    Fals, H. C.
    Fernandez, J. B.
    Macias, E. J.
    de la Parte, M. P.
    [J]. SCIENCE AND TECHNOLOGY OF WELDING AND JOINING, 2009, 14 (02) : 117 - 124
  • [15] Savage J. J., 2013, J MECH DESIGN, V135, P2
  • [16] Wang B.M., 2008, OVERALL SYSTEM BOGIE
  • [17] Yang Mingwei, 2005, ACOUSTIC EMISSION TE
  • [18] [张卫冬 Zhang Weidong], 2013, [北京科技大学学报, Journal of University Science and Technology Beijing], V35, P626