Investigation on metal magnetic memory signal during loading

Shen, Gongtian; Hu, Bin; Gao, Guangxin; Li, Yuntao

doi:10.3233/jae-2010-1257

Cited by 13 publications

(5 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…MMM detection technology has been widely applied in the study of fatigue failure of ferromagnetic materials, such as fatigue crack tests on steel structures, weld fatigue tests, pipeline scratch tests, and cracks in large machinery, and has achieved certain results. For example, Jin, Di, et al conducted tensile fatigue tests on Q235B steel notched specimens under square wave loading and measured magnetic memory signals, obtaining that the magnetomechanical effect can better explain the changes in magnetic memory signals during the initial stage of cycling [6]; He, Zhuo, et al conducted fatigue tests on I-shaped steel beams containing butt welds and found that the sudden change in magnetic signal distribution curve can characterize the occurrence of macroscopic fatigue cracks and the processed average magnetic field characteristic curve can characterize the process of weld fatigue changes and provide early warning for macroscopic fatigue cracks [7]; Song, Ding, et al conducted static tensile tests on standard steel specimens with welds and fatigue tests on steel bridge decks, studying the correlation between coercive force and crack initiation and propagation [8]; Shen G, Hu B, et al conducted dynamic changes in the amplitude of metal magnetic memory signals for crane beam cracks under load, demonstrating that the MMM testing method can be used to monitor the activity of surface cracks or damage in steel structures [9]. In addition, researchers have also explored the changes in magnetic field strength of different types of steel material specimens under different loading conditions and it has been proven that this technology can effectively predict fatigue life.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Fatigue Damage of Drilling Tool Materials Based on Magnetic Memory Detection

He,

Xue,

Hai

et al. 2023

Machines

View full text Add to dashboard Cite

In drilling engineering, the cost of drilling tool fracture is enormous, and studying the fatigue failure process of drilling tools has practical significance. This paper uses metal magnetic memory detection technology to design and conduct fatigue damage tests on typical drilling tool material 42CrMo specimens under tensile, torsional, compressive, tensile, compressive, and torsional dynamic loading conditions. By analyzing the changes in the tangential component Hp(x) and gradient value K of the magnetic memory signal under different load conditions with the number of loading times, the process of fatigue failure of the specimens and the trend of changes in the magnetic memory signal in local stress concentration areas are explored. The characteristic parameters of fatigue damage based on magnetic memory detection were extracted and the critical point at which fatigue damage leads to crack initiation was inferred. This confirms that metal magnetic memory testing technology is an effective means of analyzing the fatigue damage process of drilling tools and provides a certain reference for formulating judgment standards for drilling tool maintenance on site.

show abstract

Section: Introductionmentioning

confidence: 99%

Experimental Study on Fatigue Damage of Drilling Tool Materials Based on Magnetic Memory Detection

He,

Xue,

Hai

et al. 2023

Machines

View full text Add to dashboard Cite

show abstract

“…The Metal Magnetic Memory (MMM) method is widely applied within the engineering industry to discover defects and fatigue crack damage and to evaluate the structural integrity of steel such as a boiler, pressure vessel, pressure piping and a mechanical crane (Shen et al, 2010). Indeed, the MMM method is a non-destructive testing (NDT) method, based on the variation trend of the vertical magnetic field (Hp) measured from specimen surfaces.…”

Section: Introductionmentioning

confidence: 99%

The probabilistic analysis of fatigue crack effect based on magnetic flux leakage

Ahmad

Arifin

Abdullah

et al. 2019

IJRS

View full text Add to dashboard Cite

In this paper, probabilistic analysis on the fatigue crack effect was investigated by applying the Metal Magnetic Memory (MMM) method, based on Self-Magnetic Leakage Field (SMLF) signals on the surface of metal components. The precision of MMM signals is essential in identifying the validity of the proposed method. The tension-tension fatigue test was conducted using the testing frequency of 10 Hz with 4 kN loaded, and the MMM signals were captured using the MMM instrument. As a result, a linear relationship was observed between the magnetic flux leakage and cyclic loading parameter, presenting the R-squared value at 0.72-0.97. The 2P-Weibull distribution function was used as a probabilistic approach to identify the precision of the data analysis from the predicted, and experimental fatigue lives, thereby showing that all points are placed within the range of a factor of 2. Additionally, the characteristics of PDF, CDF, failure rate and failure probability data analysis were plotted and described. Therefore, a 2P-Weibull probability distribution approach is determined to be an appropriate method to determine the accuracy of data analysis for MMM signals in a fatigue test for metal components.

show abstract

“…Scholars worldwide have conducted much research on the principles and applications of the proposed MMM testing method since its inception [6][7][8][9][10][11][12][13][14][15]. This testing method is summarized from practical experiences; however, its physical mechanism remains unclear.…”

Section: Introductionmentioning

confidence: 99%

Experimental and theoretical analysis of metal magnetic memory signals in the stress concentration area of 45# steel under tensile testing

Chen

2014

JAE

View full text Add to dashboard Cite

Experimental and theoretical analysis of metal magnetic memory signals in the stress concentration area of 45# steel under tensile testing Abstract. Tension tests were conducted on 45# steel to investigate metal magnetic memory in stress concentration areas. The normal and tangential components of metal magnetic memory signals at seven test points in each specimen were simultaneously measured with probe lift-off values of 1 mm, 3 mm, and 5 mm. Axial tensile load was applied until visible necking occurred, and magnetic flux density was compared with the fracture location predicted according to Doubov's theory. Experimental results showed that the final fracture locations were inconsistent with the locations predicted by metal magnetic memory testing theory. A theoretical analysis of the determination criterion in Doubov's theory also revealed that no perfect correlation between the two areas existed.

show abstract

Investigation on metal magnetic memory signal during loading

Cited by 13 publications

References 2 publications

Experimental Study on Fatigue Damage of Drilling Tool Materials Based on Magnetic Memory Detection

Experimental Study on Fatigue Damage of Drilling Tool Materials Based on Magnetic Memory Detection

The probabilistic analysis of fatigue crack effect based on magnetic flux leakage

Experimental and theoretical analysis of metal magnetic memory signals in the stress concentration area of 45# steel under tensile testing

Contact Info

Product

Resources

About