Experimental study on the relationship between the strain and metal magnetic memory field of steel beams

2018 ◽  
Vol 60 (7) ◽  
pp. 380-386
Author(s):  
Sanqing Su ◽  
Shuchun Yi ◽  
Wei Wang ◽  
Xuran Zhao ◽  
Haojiang Sun ◽  
...  
SWorldJournal ◽  
2018 ◽  
pp. 6-12
Author(s):  
Святослав Савкин

The article proposes the use of the metal magnetic memory method for the purpose of detecting and measuring residual stresses in welded seams and heat-affected zones of longitudinal welded pipes. The experimental study was divided into the following stage


2012 ◽  
Vol 476-478 ◽  
pp. 2577-2581
Author(s):  
Rui Bin Gou ◽  
Yi Liang Zhang

A new test method of metal magnetic memory (MMM) was designed and was applied to study the relationship between MMM signals distortion and uneven plastic deformation so as to obtain the direct evidence of the result that MMM signals change unevenly causing by the unevenly plastic deformation in tensile test. Macro magnetic memory measurement were done to capture the occurrence time and position of MMM signals’ distortion during the period of plastic deformation, strain measurement were done before each MMM measurement and micro slip lines were observed after each time when MMM signals were measured to capture the occurrence time and position of plastic deformation. Then direct evidence can be obtained by compared the consistency of the time and positions. Preliminary tests were done to prove the rationality and feasibility of the new test method. The results show that the evidence can be obtained effectively and change law of MMM signals were reproduced by this new test method.


2013 ◽  
Vol 401-403 ◽  
pp. 1251-1254
Author(s):  
Hai Yan Xing ◽  
Ya Tong Han ◽  
Ping Qin ◽  
Chang Hai Liu

Remanufacturing is an important way to develop recycling economy. However, the quality reliability testing is a bottleneck for the recycled product. Metal Magnetic Memory (MMM) technology is a valid method for early damage testing based on the magneto-mechanical effect. This paper aims at quantitative identifying damage for the recycled pumping rod(RPR). The MMM rules of RPR damage are found through fatigue experiments. By using four-dimensional MMM parameter vectors, that is, peek-peek value,differential gradient,integral gradient and energy, are marked the damages. Furthermore,a multi-level damage classification model has been established base on optimal multi-classification algorithm of support vector machine (SVM) for RPR. The relationship is given between the damage degrees and MMM signals, which provides a theoretical basis and engineering tool of RPR reliability evaluation.


2013 ◽  
Vol 62 (8) ◽  
pp. 086201
Author(s):  
Yang Li-Jian ◽  
Liu Bin ◽  
Gao Song-Wei ◽  
Chen Li-Jia

SWorldJournal ◽  
2018 ◽  
pp. 6-12
Author(s):  
Святослав Савкин

The article proposes the use of the metal magnetic memory method for the purpose of detecting and measuring residual stresses in welded seams and heat-affected zones of longitudinal welded pipes. The experimental study was divided into the following stage


2019 ◽  
Vol 23 (3) ◽  
pp. 1320-1329 ◽  
Author(s):  
Runchuan Xia ◽  
Jianting Zhou ◽  
Hong Zhang ◽  
Daoliang Zhou ◽  
Zeyu Zhang

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