Experimental Study on Fatigue Damage of Drilling Tool Materials Based on Magnetic Memory Detection

被引:0
|
作者
He, Yingming [1 ]
Xue, Qilong [2 ]
Hai, Weiguo [2 ]
Xing, Xuesong [1 ,3 ]
Wu, Xudong [4 ]
Fu, Xing [1 ]
机构
[1] CNOOC Res Inst Ltd, Beijing 100028, Peoples R China
[2] China Univ Geosci, Sch Engn & Technol, Beijing 100083, Peoples R China
[3] China Univ Petr, Coll Mech & Transportat Engn, Beijing 102249, Peoples R China
[4] CNOOC Ltd, Engn Technol Dept, Beijing 100010, Peoples R China
基金
中国国家自然科学基金;
关键词
magnetic memory detection; fatigue damage; typical drilling tool material 42CrMo; FIELD;
D O I
10.3390/machines11070701
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
In drilling engineering, the cost of drilling tool fracture is enormous, and studying the fatigue failure process of drilling tools has practical significance. This paper uses metal magnetic memory detection technology to design and conduct fatigue damage tests on typical drilling tool material 42CrMo specimens under tensile, torsional, compressive, tensile, compressive, and torsional dynamic loading conditions. By analyzing the changes in the tangential component H-p(x) and gradient value K of the magnetic memory signal under different load conditions with the number of loading times, the process of fatigue failure of the specimens and the trend of changes in the magnetic memory signal in local stress concentration areas are explored. The characteristic parameters of fatigue damage based on magnetic memory detection were extracted and the critical point at which fatigue damage leads to crack initiation was inferred. This confirms that metal magnetic memory testing technology is an effective means of analyzing the fatigue damage process of drilling tools and provides a certain reference for formulating judgment standards for drilling tool maintenance on site.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] Feasibility study of fatigue damage detection of strands using magnetostrictive guided waves
    Zhou, Jinhai
    Xu, Jiang
    INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2019, 59 (04) : 1313 - 1320
  • [32] Numerical and experimental investigations of nonlinear S0 Lamb mode for detection of fatigue damage
    Ma, Congyun
    Zhu, Wujun
    Xiang, Yanxun
    Zhang, Haiyan
    2017 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2017,
  • [33] Probabilistic model of fatigue damage accumulation of materials based on the principle of failure probability equivalence
    Gao, Jianxiong
    Yuan, Yiping
    STRUCTURES, 2020, 28 : 659 - 667
  • [34] A stochastic fatigue damage method for composite materials based on Markov chains and infrared thermography
    Wei, Bo-Siou
    Johnson, Shane
    Haj-Ali, Rami
    INTERNATIONAL JOURNAL OF FATIGUE, 2010, 32 (02) : 350 - 360
  • [35] Experimental study of early fatigue nonlinear ultrasonic detection in magnesium alloy
    Yan, Bingsheng
    Liu, Ziran
    Zhang, Yuechun
    Tang, Baoping
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2013, 49 (04): : 20 - 24
  • [36] A Numerical Tool for Assessing Random Vibration-Based Fatigue Damage Diagnosability in Thermoplastic Coupons
    Tsivouraki, Niki
    Fassois, Spilios
    Tserpes, Konstantinos
    JOURNAL OF COMPOSITES SCIENCE, 2025, 9 (04):
  • [37] Experimental investigation of stress and damage characterization of steel beam buckling using magnetic memory signals
    Wang, Wei
    Yi, Shuchun
    Su, Sanqing
    STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS, 2016, 25 (11) : 505 - 518
  • [38] A case study on fatigue damage in PVD coated tool steel under cyclic bending load
    Bobzin, K.
    Kalscheuer, C.
    Tayyab, M.
    SURFACE & COATINGS TECHNOLOGY, 2024, 478
  • [39] Experimental Study on Anti-fatigue Damage Structural Design of Diesel Engine Bearings
    Guo, Zhenjie
    GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS II, 2012, 214 : 97 - 101
  • [40] Experimental Study on Residual Capacity of Marine Steel/Composite Joint after Fatigue Damage
    Luo, Bailu
    Zhu, Yingfu
    Ship Building of China, 2020, 61 (04) : 70 - 76