Magnetic memory detection method for early damage based on Shewhart control chart

doi:10.16265/j.cnki.issn1003-3033.2017.02.015

China Safety Science Journal ›› 2017, Vol. 27 ›› Issue (2): 81-85.doi: 10.16265/j.cnki.issn1003-3033.2017.02.015

• Safety Science of Engineering and Technology • Previous Articles Next Articles

Magnetic memory detection method for early damage based on Shewhart control chart

LENG Jiancheng¹, ZHANG Jingwei¹, GAO Yatian²

1 School of Mechanical Science & Engineering, Northeast Petroleum University, Daqing Heilongjiang 163318, China
2 School of Computer & Information Technology, Northeast Petroleum University, Daqing Heilongjiang 163318, China

Received:2016-12-08 Revised:2017-01-11 Online:2017-02-28 Published:2020-11-22

Abstract

Abstract: In order to perfect the qualitative and quantitative methods for evaluating metal early damage using magnetic memory technique, torsion tests of circular specimens made of Q235 steel were conducted.The tangential component H_x and normal component H_y of magnetic memory signals under different torques were recorded by a stress concentration indicator. An early damage diagnosis approach via magnetic memory signals based on Shewhart control chart was developed. The results show that the magnetic signal produces an sharp change when the specimen is yielding, corresponding to the maximum synthetic magnetic field gradient value, and that having the aid of the Shewhart control chart the interference of fluctuating gradients in the judgement can be eliminated abnormal warning ranges can be indicated accurately when yielding, and quick and accurate identification of early damage.

Key words: metal magnetic memory, Shewhart control chart, early damage, torsion test, magnetic field gradient

CLC Number:

X924.2

LENG Jiancheng , ZHANG Jingwei , GAO Yatian. Magnetic memory detection method for early damage based on Shewhart control chart[J]. China Safety Science Journal, 2017, 27(2): 81-85.

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Magnetic memory detection method for early damage based on Shewhart control chart

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