Quantitative Inversion of Stress and Crack in Ferromagnetic Materials Based on Metal Magnetic Memory Method

被引:51
|
作者
Shi, Pengpeng [1 ,2 ]
Jin, Ke [3 ]
Zhang, Pengcheng [2 ]
Xie, Shejuan [1 ]
Chen, Zhenmao [1 ]
Zheng, Xiaojing [2 ]
机构
[1] Xi An Jiao Tong Univ, Shaanxi Engn Res Ctr NDT & Struct Integr Evaluat, Sch Aerosp, State Key Lab Strength & Vibrat Mech Struct, Xian 710049, Shaanxi, Peoples R China
[2] Xidian Univ, Sch Mechanoelect Engn, Xian 710071, Shaanxi, Peoples R China
[3] Xidian Univ, Sch Aerosp Sci & Technol, Xian 710071, Shaanxi, Peoples R China
基金
中国博士后科学基金;
关键词
Ferromagnetic materials; inverse problem; magnetic memory signals; metal magnetic memory (MMM); stress and crack; FLUX LEAKAGE SIGNAL; NONDESTRUCTIVE EVALUATION; FIELD; STEEL; DEFECT; MODEL; RECONSTRUCTION; PROPAGATION; STATE;
D O I
10.1109/TMAG.2018.2856894
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Ferromagnetic materials are widely used in engineering structures. Damages caused during manufacture and the use of ferromagnetic materials may seriously undermine the safety of the engineering structure, and even lead to serious industrial accidents. For the early damage testing problem of ferromagnetic materials, it is imperative to propose and adopt new nondestructive testing methods. The metal magnetic memory (MMM) method, which is also known as the micromagnetic testing method, can achieve the early detection of damages in ferromagnetic materials such as steels. However, due to the lack of the quantitative research, the MMM method is only applicable for damage localization. In this paper, the MMM method is utilized to quantitatively evaluate the stress and crack in ferromagnetic materials. The inverse model including the objective function and optimization parameters is proposed. The reconstruction approach is established based on the conjugate gradient inversion method and the exact line search algorithm. In the theoretical analysis, the effectiveness of the MMM method in quantitative determination regarding the position and size of defects is verified with the experimental signal of a hole defect. Following this, the theoretical analyses of localization and sizing of stress and crack are conducted by using the simulation results as the measured signals. It can be found from the results that the MMM method can he applicable for quantitative evaluation of surface rectangular cracks, surface stress concentration zone, convex-type defect, and so on. In addition, the influences of the signal selection, sampling rate, lift-off value, stress level, and noise amplitude on the quantitative analysis of early stress concentration are discussed in details.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Nondestructive Evaluation of Contact Damage of Ferromagnetic Materials Based on Metal Magnetic Memory Method
    Yao, K.
    Wu, L. B.
    Wang, Y. S.
    EXPERIMENTAL TECHNIQUES, 2019, 43 (03) : 273 - 285
  • [2] Test procedure for stress damage of ferromagnetic materials based on metal magnetic memory effects
    Wang, Guoqing
    Yang, Lijian
    Yan, Ping
    Wei, Liwa
    MATERIALS TESTING, 2018, 60 (03) : 301 - 305
  • [3] Fast reconstruction method for defect profiles of ferromagnetic materials based on metal magnetic memory technique
    Li, Junting
    Su, Sanqing
    Wang, Wei
    Liu, Xinwei
    Zuo, Fuliang
    MEASUREMENT, 2023, 215
  • [4] Application of Metal Magnetic Memory Testing for Quantitative Evaluation of Stress Concentration in Ferromagnetic Steels
    Bao, S.
    Lou, H.
    Fu, M.
    Bai, S.
    MATERIALS EVALUATION, 2020, 78 (12) : 1301 - 1309
  • [5] An extended magnetic-stress coupling model of ferromagnetic materials based on energy conservation law and its application in metal magnetic memory technique
    Yang, Xiaohui
    He, Changchun
    Pu, Haifeng
    Chen, Long
    JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, 2022, 544
  • [6] Influence of Crack Size on Stress Evaluation of Ferromagnetic Low Alloy Steel with Metal Magnetic Memory Technology
    Liu, Bin
    Fu, Peng
    Li, Ruifeng
    He, Peng
    Dong, Shiyun
    MATERIALS, 2019, 12 (24)
  • [7] Quantitative research of defects for pipelines based on metal magnetic memory testing
    Zhou, Wei
    Fan, Jianchun
    Liu, Xiangyuan
    Liu, Shujie
    INSIGHT, 2020, 62 (05) : 292 - 299
  • [8] Measurement System of Metal Magnetic Memory Method Signals around Rectangular Defects of a Ferromagnetic Pipe
    Jesus Villegas-Saucillo, J.
    Javier Diaz-Carmona, Jose
    Ceron-Alvarez, Carlos A.
    Juarez-Aguirre, Raul
    Dominguez-Nicolas, Saul M.
    Lopez-Huerta, Francisco
    Herrera-May, Agustin L.
    APPLIED SCIENCES-BASEL, 2019, 9 (13):
  • [9] Metal magnetic memory testing for early damage assessment in ferromagnetic materials
    Li-hong Dong
    Bin-shi Xu
    Shi-yun Dong
    Qun-zhi Chen
    Yu-ya Wang
    Lei Zhang
    Dan Wang
    Da-wei Yin
    Journal of Central South University of Technology, 2005, 12 : 102 - 106
  • [10] The relative entropy of wavelet energy of Metal Magnetic Memory signal used in feature analysis of crack propagation in ferromagnetic materials
    Xue Nan
    Chang Zhigang
    Jin Aiwei
    Man Yanfan
    Nie Yang
    Teng Ming
    2017 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-HARBIN), 2017, : 631 - 634