Variation of Magnetic Memory Signals in Fatigue Crack Initiation and Propagation Behavior

To monitor fatigue crack initiation and propagation, and to judge the fatigue damage status of ferromagnetic material, fatigue bending tests of four-point single edge notch bend (SENB4) specimens were carried out. Metal magnetic memory signals were measured during the whole fatigue process. The resu...

Full description

Bibliographic Details
Main Authors: Wei Zhou, Jianchun Fan, Jinlu Ni, Shujie Liu
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Metals
Subjects:
Online Access:http://www.mdpi.com/2075-4701/9/1/89
id doaj-c508568e65cb402d8ece9c005c7401a9
record_format Article
spelling doaj-c508568e65cb402d8ece9c005c7401a92020-11-25T01:42:58ZengMDPI AGMetals2075-47012019-01-01918910.3390/met9010089met9010089Variation of Magnetic Memory Signals in Fatigue Crack Initiation and Propagation BehaviorWei Zhou0Jianchun Fan1Jinlu Ni2Shujie Liu3College of Mechanical and Transportation Engineering, China University of Petroleum-Beijing, Beijing 102200; ChinaCollege of Mechanical and Transportation Engineering, China University of Petroleum-Beijing, Beijing 102200; ChinaCollege of Mechanical and Transportation Engineering, China University of Petroleum-Beijing, Beijing 102200; ChinaCNOOC Research Institute, Beijing 100029, ChinaTo monitor fatigue crack initiation and propagation, and to judge the fatigue damage status of ferromagnetic material, fatigue bending tests of four-point single edge notch bend (SENB4) specimens were carried out. Metal magnetic memory signals were measured during the whole fatigue process. The results showed that the fatigue process could be divided into four stages by observing the morphology of the fracture surface. With the increase of fatigue loading cycles, the tangential component of the magnetic field (Hx) and the normal component of the magnetic field (Hy) increased. At the notch Hx presented a “trough” shape and had a maximum value at the midpoint, while Hy at the notch rotated clockwise around the midpoint. Compared with the tangential characteristic parameters, the variation of normal characteristic parameters (i.e., maximum gradient value of Hy (Ky-max) and the variation range of Hy at the notch (∆Hyn), with the fatigue loading cycles are more similar to the variation of fatigue crack length with loading cycles), both Ky-max and ∆Hyn had a good linear relationship with fatigue crack length. Plastic deformation accumulated on both sides of the fatigue crack, and metal magnetic memory (MMM) signals measured from the specimens were able to indicate the location of the fatigue crack and the variation of the fatigue crack length. Furthermore, the distribution of magnetic signals was analyzed according to the theories of stress magnetization and magnetic flux leakage.http://www.mdpi.com/2075-4701/9/1/89X80 steelmetal magnetic memory testingfatigue crackstress magnetizationplastic deformation
collection DOAJ
language English
format Article
sources DOAJ
author Wei Zhou
Jianchun Fan
Jinlu Ni
Shujie Liu
spellingShingle Wei Zhou
Jianchun Fan
Jinlu Ni
Shujie Liu
Variation of Magnetic Memory Signals in Fatigue Crack Initiation and Propagation Behavior
Metals
X80 steel
metal magnetic memory testing
fatigue crack
stress magnetization
plastic deformation
author_facet Wei Zhou
Jianchun Fan
Jinlu Ni
Shujie Liu
author_sort Wei Zhou
title Variation of Magnetic Memory Signals in Fatigue Crack Initiation and Propagation Behavior
title_short Variation of Magnetic Memory Signals in Fatigue Crack Initiation and Propagation Behavior
title_full Variation of Magnetic Memory Signals in Fatigue Crack Initiation and Propagation Behavior
title_fullStr Variation of Magnetic Memory Signals in Fatigue Crack Initiation and Propagation Behavior
title_full_unstemmed Variation of Magnetic Memory Signals in Fatigue Crack Initiation and Propagation Behavior
title_sort variation of magnetic memory signals in fatigue crack initiation and propagation behavior
publisher MDPI AG
series Metals
issn 2075-4701
publishDate 2019-01-01
description To monitor fatigue crack initiation and propagation, and to judge the fatigue damage status of ferromagnetic material, fatigue bending tests of four-point single edge notch bend (SENB4) specimens were carried out. Metal magnetic memory signals were measured during the whole fatigue process. The results showed that the fatigue process could be divided into four stages by observing the morphology of the fracture surface. With the increase of fatigue loading cycles, the tangential component of the magnetic field (Hx) and the normal component of the magnetic field (Hy) increased. At the notch Hx presented a “trough” shape and had a maximum value at the midpoint, while Hy at the notch rotated clockwise around the midpoint. Compared with the tangential characteristic parameters, the variation of normal characteristic parameters (i.e., maximum gradient value of Hy (Ky-max) and the variation range of Hy at the notch (∆Hyn), with the fatigue loading cycles are more similar to the variation of fatigue crack length with loading cycles), both Ky-max and ∆Hyn had a good linear relationship with fatigue crack length. Plastic deformation accumulated on both sides of the fatigue crack, and metal magnetic memory (MMM) signals measured from the specimens were able to indicate the location of the fatigue crack and the variation of the fatigue crack length. Furthermore, the distribution of magnetic signals was analyzed according to the theories of stress magnetization and magnetic flux leakage.
topic X80 steel
metal magnetic memory testing
fatigue crack
stress magnetization
plastic deformation
url http://www.mdpi.com/2075-4701/9/1/89
work_keys_str_mv AT weizhou variationofmagneticmemorysignalsinfatiguecrackinitiationandpropagationbehavior
AT jianchunfan variationofmagneticmemorysignalsinfatiguecrackinitiationandpropagationbehavior
AT jinluni variationofmagneticmemorysignalsinfatiguecrackinitiationandpropagationbehavior
AT shujieliu variationofmagneticmemorysignalsinfatiguecrackinitiationandpropagationbehavior
_version_ 1725033946643693568