Jian Chen

Prof. Jian Chen


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 June 2025 in Sensors
Verified
Journal Article
Open access
PDF file
QCQiangqiang Cheng
Qiangqiang Cheng
JLJijun Liu
Jijun Liu
JCJian Chen
Jian Chen
GXGuisuo Xia
Guisuo Xia
CLChunquan Li
Chunquan Li
In view of the problems of poor safety, slow detection speed, and low accuracy of existing nondestructive testing (NDT) technologies, such as X-ray methods and ultrasonic detection in detecting electron beam weld defects in aluminum alloys, this study proposes a weak magnetic NDT method based on the geomagnetic field. Firstly, the finite element analysis method was used to establish a simulation model of aluminum alloy electron beam welding defects, and the distribution characteristics of the magnetic field around weld defects, such as cracks and pores, were obtained. Then, the magnetic anomaly signal at the crack weld was identified by combining the wavelet transform and the least squares method. Finally, experimental tests show that the proposed method can safely, quickly, and accurately detect the defects of aluminum alloy electron beam welds.

15 April 2025 in Research Square
Verified
Preprint
Open access
PDF file
QCQiangqiang Cheng
Qiangqiang Cheng
JLJijun Liu
Jijun Liu
JCJian Chen
Jian Chen
JZJiahao Zeng
Jiahao Zeng
GXGuisuo Xia
Guisuo Xia
JCJian Chen
Jian Chen
In view of the problems of poor safety, slow detection speed and low accuracy of existing non-destructive testing (NDT) technologies such as X-ray methods and ultrasonic detection in detecting electron beam weld defects in aluminum alloys, this study proposes a weak magnetic NDT method based on the geomagnetic field. Firstly, the finite element analysis method was used to establish a simulation model of aluminum alloy electron beam welding defects, and the distribution characteristics of the magnetic field around weld defects such as cracks and pores were obtained. Then, the magnetic anomaly signal at the crack weld was identified by the combination of wavelet transform and least squares method. Finally, experimental tests show that the proposed method can safely, quickly and accurately detect the defects of aluminum alloy electron beam welds.