Abstract��In academic research and engineering applications��the detection of the residual stresses on mechanical equipment or metal components is of great concern�� which is an important means of assessing the service life and preventing accidents. There are many kinds of residual stress detection methods�� including X-ray diffraction�� neutron diffraction�� ultrasonic testing�� magnetic detection method and other non-destructive methods�� destructive methods such as materials cutting and drilling�� etc. The mechanism of the methods based on the magnetic detection�� which included the metal magnetic memory�� Barkhausen noise effect and the inverse magnetic effect anisotropy method�� were summarized. At the same time�� the main characteristic�� the adaptability and the development trends in the future of the magnetic detection methods were discussed.
Song WeiTao��Xu ChunGuang.Nondestructive Testing and Characterization of Residual Stress Field Using an Ultrasonic Method[J].Chinese Journal Of Mechanical Engineering, 2016, 29(2):365-371
[3]
Ai XinFeng, Bin Lin, Chuan ChaoXu, et al.Reliablity Analysis on Erros of Measuring Residual Stress in 7050 Aluminum Alloy with X-Ray Diffraction[J].Applied Mechanics and Material, 2012, 1473(105):1867-1871
Deqiang Zhou, Jun Wang, Yunze He, et al.Influence of metalic shields on pulsed eddy current sensor for ferromagnetic materials defect detection[J].Physical, 2016, 25(��):162-172
Dubov A A, Kolokolnikov S.Application of the metal magnetic memory method for detection of defects at the initial stage of their development for prevention of failures of power engineering welded steel structures and steam turbine parts[J].Weld World, 2014, 58(2):225-236
[18]
Duobv A A, Kolokolnikov S.The metal mangetic memory method application for online monitoring of damage development in steel pipes and welded joints specimens[J].Welding in the world, 2013, 57(1):123-136
[19]
Dubov A A.Development of a mental mangetic memory method[J].Chemical and Petroleum Engineering, 2012, 47(4):837-839
Sorsa A, Leiviska K��Santan S, et al.Quantitative prediction of residual stress andhardness in case-hardened steel based on the Barkhausen noise measurement[J].NDT��EInternational, 2012, 46(��):100-106
Yelbay H��Cam I��Gur H.Non-destructive determination of residual stress state in steel weldments by Magnetic Barkhausen Noise technique[J][J].NDT��E International, 2010, 43(1):29-33
[32]
Stewart D M, Stevens K J, Kaiser A B.Magnetic Barkhausen noise analysis of stress in steel[J].Current Applied Physics, 2004, 4(2-4):308-311
Ken W��Time W��Brucd B.A fresh initiative on the use of daylight magneticparticle inspection for the inspection of underwater steel structures[J].Society Technology, 2016, 33(3):165-170
[39]
Tao Ma, Zhen Guo, Wenzeng Zhang, et al.A machine vision assisted system for fluorescent magnetic particle inspection of railway wheelsets[J].American Institute of Physics, 2016, ��(��):150003-1-150003-7
Wen Xiqin, Ning Xiaoming, Zhong Yongzhou.Development of technology and application for magnetostrictive sensor[J].Journal of Transducer Technology, 2003, 22(2):1-4
2017, Vol. 35 
