铁磁性材料早期疲劳损伤磁混频检测方法

doi:10.3901/JME.2020.04.025

机械工程学报 ›› 2020, Vol. 56 ›› Issue (4): 25-34.doi: 10.3901/JME.2020.04.025

铁磁性材料早期疲劳损伤磁混频检测方法

焦敬品¹, 常予¹, 李光海², 吴斌¹, 何存富¹

1. 北京工业大学机械工程与应用电子技术学院北京 100124;
2. 中国特种设备检测研究院北京 100013

收稿日期:2019-04-08 修回日期:2019-10-23 出版日期:2020-02-20 发布日期:2020-04-23
通讯作者: 焦敬品(通信作者),女,1973年出生,博士,教授,博士研究生导师。主要研究方向为现代测控技术与方法、无损检测新技术、现代信号分析与处理技术、新型传感器技术。E-mail:jiaojp@bjut.edu.cn
作者简介:常予,女,1991年出生,博士研究生。主要研究方向为电磁混频无损检测技术与方法。E-mail:changyu8023@163.com
基金资助:
国家重点研发计划（2017YFF0209703）和国家自然科学基金（11527801，11572010）资助项目。

Magnetic Mixing Detection Method for Early Fatigue Damage of Ferromagnetic Materials

JIAO Jingpin¹, CHANG Yu¹, LI Guanghai², WU Bin¹, HE Cunfu¹

1. College of Mechanical Engineering and Application Electronics Technology, Beijing University of Technology, Beijing 100124;
2. China Special Equipment Inspection and Research Institute, Beijing 100013

Received:2019-04-08 Revised:2019-10-23 Online:2020-02-20 Published:2020-04-23

摘要/Abstract

摘要： 在金属材料常见的早期力学性能退化损伤中，疲劳对结构的潜在危害性最大。基于铁磁性材料的磁滞非线性特性，在高低频叠加励磁条件下，研究铁磁材料中磁混频效应的产生机理及表现形式。分析混频分量和局部磁滞回线与材料早期损伤的关系，提出磁混频非线性因子与局部磁滞损耗幂律系数两种特征参量用于铁磁性材料磁混频效应的表征。在此基础上，将磁混频检测技术用于铁磁性材料疲劳损伤检测。结果表明，提出的两种磁混频特征参量可用于铁磁性材料早期疲劳损伤的表征。为铁磁性材料早期疲劳损伤检测提供了可行的技术方案。

关键词: 铁磁性材料, 疲劳损伤, 磁混频, 磁滞非线性, 幂律系数

Abstract: Among the common early mechanical property degradation damage of metal materials, fatigue has the greatest potential harm to the structure. Based on the hysteresis nonlinearity of ferromagnetic materials, the mechanism and manifestation of magnetic frequency mixing effect in ferromagnetic materials under high and low frequency excitation are analyzed. The relationship between the mixing component, the local hysteresis loops and the early damage of magnetic ferromagnetic materials is analyzed. The magnetic mixing nonlinear factor and the power law coefficient of local hysteresis loss are proposed to characterize the magnetic frequency mixing effect of ferromagnetic materials. Then, magnetic frequency mixing detection technology is used to detect fatigue damage of ferromagnetic materials. Experimental results show that the early fatigue damage of ferromagnetic materials can be characterized by two kinds of magnetic mixing characteristic parameters. This research work provides a feasible technical scheme for early fatigue damage detection of ferromagnetic materials.

Key words: ferromagnetic material, fatigue, magnetic mixing frequency, magnetic nonlinear, power law coefficient

中图分类号:

TM154

焦敬品, 常予, 李光海, 吴斌, 何存富. 铁磁性材料早期疲劳损伤磁混频检测方法[J]. 机械工程学报, 2020, 56(4): 25-34.

JIAO Jingpin, CHANG Yu, LI Guanghai, WU Bin, HE Cunfu. Magnetic Mixing Detection Method for Early Fatigue Damage of Ferromagnetic Materials[J]. Journal of Mechanical Engineering, 2020, 56(4): 25-34.

参考文献

[1] STINVILLE J C,MARTIN E,KARADGE M,et al. Fatigue deformation in a polycrystalline nickel base superalloy at intermediate and high temperature:Competing failure modes[J]. Acta Materialia,2018,152(15):16-33.
[2] 严园,邹兰林,周兴林. 钢桥疲劳裂缝的红外热成像无损检测[J]. 应用科学学报,2016,34(1):106-114. YAN Yuan,ZOU Lanlin,ZHOU Xinglin. Nondestructive inspection of steel bridge based on infrared thermal imaging[J]. Journal of Applied Sciences,2016,34(1):106-114.
[3] WANG Y,GAO B,WOO W L,et al. Thermal pattern contrast diagnostic of micro cracks with induction thermography for aircraft braking components[J]. IEEE Transactions on Industrial Informatics,2018,14(12):5563-5574.
[4] CHAI M,ZHANG Z,DUAN Q,et al. Assessment of fatigue crack growth in 316LN stainless steel based on acoustic emission entropy[J]. International Journal of Fatigue,2018,109(4):145-156.
[5] JIAO J,CHANG Y,WU C,et al. Detection of heterogeneous deposits on the surface of metal structures using nonlinear acoustic resonance technology[J]. Surface Toopgraphy:Metrology and Properties,2017,5(4):1-11.
[6] WANG K,LIU M,SU Z,et al. Analytical insight into "Breathing" crack-induced acoustic nonlinearity with an application to quantitative evaluation of contact cracks[J]. Ultrasonics,2018,88(8):157-167.
[7] NI C,HUA L,WANG X. Crack propagation analysis and fatigue life prediction for structural alloy steel based on metal magnetic memory testing[J]. Journal of Magnetism and Magnetic Materials,2018,462(1):144-152.
[8] JILES D C,ATHERTON D L. Theory of magnetic hysteresis[J]. Journal of Magnetism & Magnetic Materials,1986,61(2):48-60.
[9] JILES D C,MELIKHOV Y. Modelling of nonlinear behaviour and hysteresis in magnetic materials[M]//Handbook of Magnetism and Advanced Magnetic Materials. John Wiley & Sons,Ltd,2007:71-81.
[10] SIMA W,ZOU M,YANG M,et al. Modeling of grain-oriented Si-steel and amorphous alloy iron core under ferroresonance using Jiles-Atherton hysteresis method[J]. AIP Advances,2018,8(5):1-6.
[11] BAGHEL A P S,SHEKHAWAT S K,KULKARNI S V,et al. Modeling of dynamic hysteresis for grain-oriented laminations using a viscosity-based modified dynamic Jiles-Atherton model[J]. Physica B Physics of Condensed Matter,2014,448(1):349-353.
[12] SAMIMI A A,KRAUSE T W,CLAPHAM L. Stress response of magnetic barkhausen noise in submarine hull steel:a comparative study[J]. Journal of Nondestructive Evaluation,2016,35(2):1-6.
[13] MATSUMOTO T,UCHIMOTO T,TAKAGI T,et al. Evaluation of chill structure in ductile cast iron by incremental permeability method[J]. Internation Journal of Applied Electromagnetics and Mechanics,2016,52(6):1599-1605.
[14] CHEN H E,XIE S,ZHOU H,et al. Numerical simulation of magnetic incremental permeability for ferromagnetic material[J]. International Journal of Applied Electromagnetics & Mechanics,2014,45(1):379-386.
[15] 陈洪恩,陈振茂,李勇,等. 基于磁噪声和增量磁导率的塑性变形定量无损评价[J]. 无损检测,2012,34(10):12-15. CHEN Hongen,CHEN Zhenmao,LI Yong,et al. Quantitative NDE of plastic deformation based on barkhausen noise and incremental permeability[J]. Nondestructive Testing,2012,34(10):12-15.
[16] ZIRKA S E,MOROZ Y I,MARKETOS P,et al. Viscosity-based magnetodynamic model of soft magnetic materials[J]. IEEE Transactions on Magnetics,2006,42(9):2121-2132.
[17] KOBAYASHI S,ISHIBASHI Y,BABA R. Re-examination of the Steinmetz law for unsymmetrical magnetic hysteresis loops[J]. Journal of Magnetism & Magnetic Materials,2013,330(5):49-54.
[18] TAKAHASHI S,KOBAYASHI S,KIKUCHI H,et al. Relationship between mechanical and magnetic properties in cold rolled low carbon steel[J]. Journal of Applied Physics,2006,100(11):979-985.
[19] YU C,JINGPIN J,XIUCHENG L,et al. Measurement of the hardness of medium carbon steel using the magnetic mixing-frequency technique[J]. IEEE Transactions on Magnetics,2018,54(12):1-7.
[20] FICKO B W,GIACOMETTI P,DIAMOND S G. Nonlinear susceptibility magnitude imaging of magnetic nanoparticles[J]. Journal of Magnetism & Magnetic Materials,2015,378(15):267-277.
[21] XU H,PEI Y,FANG D,et al. Nonlinear harmonic distortion effect in magnetoelectric laminate composites[J]. Applied Physics Letters,2014,105(1):417-421.
[22] RABEHI A,GARLAN B,ACHTSNICHT S,et al. Magnetic detection structure for lab-on-Chip applications based on the frequency mixing technique[J]. Sensors,2018,18(6):1747-1760.
[23] BURDIN D A,CHASHIN D V,EKONOMOV N A,et al. Resonance mixing of alternating current magnetic fields in a multiferroic composite[J]. Journal of Applied Physics,2013,113(3):101-106.
[24] BURDIN D A,CHASHIN D V,EKONOMOV N A,et al. Nonlinear magneto-electric effects in ferromagnetic-piezoelectric composites[J]. Journal of Magnetism & Magnetic Materials,2014,358-359(5):98-104.
[25] KRAUSE H J,WOLTERS N,ZHANG Y,et al. Magnetic particle detection by frequency mixing for immunoassay applications[J]. Journal of Magnetism & Magnetic Materials,2007,311(1):436-444.
[26] TELIBAN I,THEDE C,CHEMNITZ S,et al. Magnetic moment investigation by frequency mixing techniques.[J]. Review of Scientific Instruments,2009,80(11):631-635.
[27] TU L,FENG Y,KLEIN T,et al. Measurement of Brownian Relaxation of Magnetic Nanoparticle by a Multi-Tone Mixing-Frequency Method[J]. IEEE Transactions on Magnetics,2012,48(11):3513-3516.
[28] 许金泉,郭凤明. 疲劳损伤演化的机理及损伤演化律[J]. 机械工程学报,2010,46(2):40-46. XU Jinquan,GUO Fengming. Mechanism of fatigue damage evolution and the evolution law[J]. Journal of Mechanical Engineering,2010,46(2):40-46.
[29] YANG Y J,XING L Y,DUAN H Q,et al. Fatigue damage evolution of coal under cyclic loading[J]. Arabian Journal of Geosciences,2018,18(11):560-572.
[30] 杨浩泉,周平. 高周疲劳过程中45钢表面显微硬度变化规律的研究[J]. 理化检验-物理分册,2006,42(7):328-331. YANG Haoquan,ZHOU Ping. Study on the characteristic of the surface microhardness for 45 steel during high cycle fatigue[J]. Physical Testing and Chemical Analysis Part A:Physical Testing,2006,42(7):328-331.
[31] LODE V. Magnetic hysteretic characterization of ferromagnetic materials with objectives towards non-destructive evaluation of material degradation[M]. Gent:Universiteit Gent,2009.
[32] 王光中,柯伟. 金属疲劳的微观过程[J]. 材料科学与工程,1984(3):28-38. WANG Guangzhong,KE Wei. The microscopic process of metal fatigue[J]. Materials Science and Engineering,1984(3):28-38.

铁磁性材料早期疲劳损伤磁混频检测方法

Magnetic Mixing Detection Method for Early Fatigue Damage of Ferromagnetic Materials

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