Application Status and Development Prospect of Metal Magnetic Memory Fatigue Damage Detection
LU Bingbing1,2, WANG Haidou2, DONG Lihong2, ZHAO Yuncai1, WANG Huipeng1
1 College of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China 2 National Key Laboratory for Remanufacturing,Army Academy of Armored Forces, Beijing 100072, China
Abstract: Ferromagnetic material is widely used in various industrial fields as it good mechanical properties.Because the working environment and the load are complex, ferromagnetic material component often produce stress concentration and micro-cracks. Metal magnetic memory detection technology is widely concerned because it can accurately detect the stress concentration, micro-cracks of components and effectively prevent the early fatigue damage of ferromagnetic materials. However,the development time of metal magnetic memory detection technology is relatively short, and the quantitative detection of stress concentration and micro-defects cannot be achieved. In order to achieve the quantitative detection of metal magnetic memory detection technology, scholars have studied on the magnetic memory characteristics, magnetic memory detection mechanism and detection methods presented in the detection of material fatigue damage. At present,reference has discovered a phenomenon that the magnetic field strength and the magnetic field gradient have been changed in the stress concentration of ferromagnetic materials and the defect parts. For the detection mechanism of magnetic memory, the main mechanisms included own leakage magnetic field, principle of minimum energy, equivalent magnetic field and micro-magnetization are put forward from the researchers. The initial detection method mainly uses the magnetic field normal component to cross zero, and the tangential component has the maximum value, but this method is prone to misjudgment. Afterwards, the researchers use magnetic field gradients, two-dimensional detection and other methods to make judgments, which greatly improved the accuracy of detection. This article summarizes the research progress of metal magnetic memory fatigue damage detection. The magnetic memory characteristics of fatigue damage of ferromagnetic materials, the mechanism of metal magnetic memory detection, and the method of metal magnetic memory detection are introduced.The problems faced by the metal magnetic memory fatigue damage detection technology are analyzed, and its prospects are prospected. It is expected to provide a reference for the quantitative detection of metal magnetic memory fatigue damage.
卢兵兵, 王海斗, 董丽虹, 赵云才, 王慧鹏. 金属磁记忆疲劳损伤检测的应用现状及发展前景[J]. 材料导报, 2021, 35(7): 7139-7144.
LU Bingbing, WANG Haidou, DONG Lihong, ZHAO Yuncai, WANG Huipeng. Application Status and Development Prospect of Metal Magnetic Memory Fatigue Damage Detection. Materials Reports, 2021, 35(7): 7139-7144.
1 Zhang D, Zhong P D, Tao C H,et al. Failure analysis, National Defense Industry Press, China, 2008(in Chinese). 张栋, 钟培道, 陶春虎, 等.失效分析, 国防工业出版社, 2008. 2 Li C C, Dong L H, Wang H D, et al. Materials Reports A: Review Papers,2015,29(6), 107(in Chinese). 李冲冲, 董丽虹, 王海斗,等.材料导报:综述篇, 2015, 29(6), 107. 3 Ren J L, Ling J M. Metal magnetic memory testing method, China Electric Power Press,China, 2000(in Chinese). 任吉林, 林俊明.金属磁记忆检测技术, 中国电力出版社, 2000. 4 Wang Z D, Gu Y, Wang Y S. Journal of Magnetism and Magnetic Materials, 2012, 324(4), 382. 5 Dubov A A. Metal Science and Heat Treatment, 1997,39(9), 401. 6 Li Z X. Damage mechanics and its application, Science Press, China, 2002(in Chinese). 李兆霞.损伤力学及其应用, 科学出版社, 2002. 7 Yang X H, Yao W X, Duan C M. Chinese Journal of Engineering, 2003, 5(4), 81(in Chinese). 杨晓华, 姚卫星, 段成美.中国工程科学, 2003,5(4), 81. 8 Su S Q, Gao B, Wang W, et al. Journal of Xi'an University of Architecture & Technology(Natural Science Edition), 2016, 48(6), 771(in Chinese). 苏三庆,高波, 王威, 等.西安建筑科技大学学报: 自然科学版,2016,48(6), 771. 9 Liu G Q, Fu R Z, Li X L, et al. Nondestructive Test, 2014 (6), 17(in Chinese). 刘国奇,付任珍, 李新蕾, 等.无损探伤,2014 (6), 17. 10 Su S Q, Ma X P, Wang W, et al. Journal of Xi'an University of Architecture & Technology(Natural Science Edition), 2017(3), 309(in Chinese). 苏三庆, 马小平, 王威, 等.西安建筑科技大学学报 (自然科学版), 2017 (3), 309. 11 Ren S K, Ren J L, Wu G H, et al. Nondestructive Testing, 2008, 30(4), 244(in Chinese). 任尚坤, 任吉林, 邬冠华, 等.无损检测, 2008, 30(4), 244. 12 Ren S K, Ren J L, Wu G H, et al. Journal of Functional Materials, 2007, 38(A03), 1107(in Chinese). 任尚坤, 任吉林, 邬冠华, 等.功能材料, 2007, 38(A03), 1107. 13 Yu M, Gou R B, Qiu F, et al. Hot Working Technology, 2017 (10), 90(in Chinese). 于敏, 缑瑞宾, 仇飞, 等.热加工工艺, 2017 (10), 90. 14 Huang H, Yang C, Qian Z, et al. Journal of Magnetism and Magnetic Materials, 2016, 416, 213. 15 Zhao N. Research on ultrasonic nonlinear detection technology for micro-metal fatigue damage. Master's Thesis, North University of China, China, 2015(in Chinese). 赵娜.金属疲劳微损伤的非线性超声检测技术研究.硕士学位论文,中北大学,2015. 16 Huang H, Jiang S, Liu R, et al. Journal of Nondestructive Evaluation, 2014, 33(3), 407. 17 Xu B S, Dong L H, Dong S Y, et al. Acta Metallurgica Sinica, 2011, 47(3), 257(in Chinese). 徐滨士, 董丽虹, 董世运, 等.金属学报, 2011, 47(3), 257. 18 Wang H, Dong L, Dong S, et al. Journal of Central South University, 2014, 21(1), 65. 19 Li C C. Basic research on the identification of cracks under the condition of spontaneous and artificial magnetization. Master's Thesis,Heibei University Technology,2016(in Chinese). 李冲冲. 自发磁化与激励磁化条件下微小裂纹智能识别的基础研究. 硕士学位论文, 河北工业大学, 2016. 20 Dubov A A. Chemical and Petroleum Engineering, 2012, 47(11-12), 837. 21 Qiao T J, Huang S L, Zhao W, et al. Nondestructive Testing, 2016, 38(11), 16(in Chinese). 乔天骄, 黄松岭, 赵伟, 等.无损检测, 2016, 38(11), 16. 22 Xing H Y, Sun X J, Wang B, et al. Journal of Mechanical Engineering, 2017, 53(12), 70(in Chinese). 邢海燕, 孙晓军, 王犇, 等.机械工程学报,2017, 53(12), 70. 23 Shi P P. Nondestructive Testing, 2015, 37(3), 1(in Chinese). 时朋朋.无损检测, 2015, 37(3), 1. 24 Wu J, Sun Y, Kang Y, et al. IEEE Transactions on Magnetics, 2014, 51(1), 1. 25 Wu D H, Liu Z T, Wang X H, et al. Acta Physica sinica,2017,66(4), 48102(in Chinese). 吴德会, 刘志天, 王晓红, 等.物理学报,2017, 66(4), 48102. 26 Trevino D A G, Dutta S M, Ghorbel F H, et al. IEEE Transactions on Magnetics, 2015, 52(12), 1. 27 Gupta A, Chandrasekaran K. Journal of Failure Analysis and Prevention, 2016, 16(2), 316. 28 Suresh V, Abudhahir A, Daniel J. Measurement, 2017, 95, 273. 29 Ren J L, Wu G H, Song K, et al. Nondestructive Testing, 2002, 24(1), 29(in Chinese). 任吉林, 邬冠华, 宋凯, 等.无损检测, 2002, 24(1), 29. 30 Jiles D C. Journal of physics D: Applied Physics, 1995, 28(8), 1537. 31 Li H, Li Q, Xu X B, et al. IEEE Transactions on Magnetics, 2010, 47(5), 1094. 32 Leng J C, Li Z D. Chemical Engineering & Machinery, 2018(2), 137(in Chinese). 冷建成, 李政达.化工机械, 2018(2), 137. 33 Xu M X, Xu M Q, Li J W, et al. Journal of Central South University, 2012, 19(6), 1488. 34 Huang H, Qian Z. IEEE Transactions on Magnetics, 2016, 53(1), 1. 35 Xu M X, Xu M Q, Li J W, et al. Nondestructive Testing and Evaluation, 2012, 27(2), 121. 36 Liu Q Y, Luo X, Zhu H Y, et al. Acta Physica sinica, 2017, 66(10), 107501(in Chinese). 刘清友, 罗旭, 朱海燕, 等.物理学报, 2017, 66(10), 107501. 37 Sablik M J, Jiles D C. IEEE transactions on magnetics, 1993, 29(4), 2113. 38 Wang W, Ren G C, Su S Q, et al. Journal of Materials Science and Engineering, 2018, 36(1), 66(in Chinese). 王威, 任广超, 苏三庆, 等.材料科学与工程学报, 2018, 36(1), 66. 39 Zhang L M, Fu R Z, Liu G Q, et al. Failure Analysis and Prevention,2014, 9(1), 26(in Chinese). 张利明, 付任珍, 刘国奇, 等.失效分析与预防, 2014, 9(1), 26. 40 Su S Q, He Y, Wang W, et al. Journal of Xi'an University of Architecture & Technology(Natural Science Edition), 2018, 50(6), 771(in Chinese). 苏三庆, 何洋, 王威, 等.西安建筑科技大学学报: 自然科学版, 2018, 50(6), 771. 41 Cheng Q Q, Xia G S, Yu R Q, et al. Natural Gas Industry, 2014, 34(7), 109(in Chinese). 程强强, 夏桂锁, 于润桥, 等.天然气工业, 2014, 34(7), 109. 42 Zhang L P, Ma B Y, Song K, et al. China Mechanical Engineering, 2018, 29(16), 2003(in Chinese). 张丽攀, 马冰洋, 宋凯, 等.中国机械工程, 2018, 29(16), 2003. 43 Kouli M E, Giannakis M. In: 5th International Conference on Materials and Applications for Sensors and Transducers. Mykonos, 2016,pp.012013. 44 Ren S K, Guo F, Xu Z H. Chinese Journal of Scientific Instrument, 2014, 35(5), 1155(in Chinese). 任尚坤, 郭峰, 徐振瀚.仪器仪表学报, 2014, 35(5), 1155. 45 Zhang Z D. Acta Physica Sinica, 2015, 64(6), 67503(in Chinese). 张志东. 物理学报, 2015, 64(6), 67503. 46 Leng J C, Li Z D, Wang Y J, et al. Materials Reports B: Research Papers, 2019,33(5), 1723(in Chinese). 冷建成, 李政达, 王玉洁, 等.材料导报:研究篇, 2019, 33(5), 1723. 47 Cao H, Hao L,Yi J, et al. Journal of Magnetism and Magnetic mate-rials, 2016, 406, 42. 48 Perevertov O, Schäfer R. Materials Research Express, 2016, 3(9), 096103. 49 Perevertov O, Thielsch J, Schäfer R. Journal of Magnetism and Magnetic Materials, 2015, 385, 358. 50 Liu Z F, Fei Z X, Huang H H,et al. China Mechanical Engineering, 2018, 29(9), 1108(in Chinese). 刘志峰, 费志洋, 黄海鸿, 等.中国机械工程, 2018, 29(9), 1108. 51 Zhu J R, Fan L C, Su Y C, et al. Acta Physica Sinica, 2016, 65(23), 237501(in Chinese). 朱金荣, 范吕超, 苏垣昌, 等.物理学报, 2016, 65(23), 237501. 52 Li L X.Nondestructive Testing, 2016,38(11), 1(in Chinese). 黎连修.无损检测, 2016, 38(11), 1. 53 Pengju G,Xuedong C, Weihe G, et al. Journal of Magnetism and Magnetic Materials, 2011, 323(20), 2474. 54 Leng J C, Xu M Q, Li J W, et al. Journal of Harbin Institute of Techno-logy, 2011, 43(1), 21(in Chinese). 冷建成, 徐敏强, 李建伟, 等.哈尔滨工业大学学报, 2011, 43(1), 21. 55 Ren J L, Liu H C, Song K, et al. Nondestructive Testing, 2016 (11), 7(in Chinese). 任吉林, 刘海朝, 宋凯.无损检测, 2016 (11), 7. 56 Ni C, Hua L, Wang X K. Journal of Magnetism and Magnetic Materials, 2018, 462, 144. 57 Huang H, Jiang S, Yang C, et al. Nondestructive Testing and Evaluation, 2014, 29(4), 377. 58 Leng J C,Zhang J W,Gao Y T. China Safety Science Journal, 2017, 27(2), 81(in Chinese). 冷建成, 张经纬, 高雅田.中国安全科学学报, 2017,27(2), 81. 59 Huang H, Qian Z, Yang C, et al. Nondestructive Testing and Evaluation, 2017, 32(2), 166. 60 Zhou P, Ren J L, Sun J L, et al. Acta Aeronautica etAstronautica Sinica, 2013, 34(8), 1990(in Chinese). 周培, 任吉林, 孙金立, 等.航空学报, 2013, 34(8), 1990.
渝公网安备50019002502923号 版权所有：《材料导报》编辑部
2021, Vol. 35 
