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Quantitative metal magnetic memory reliability modeling for welded joints

  • Measurement and Fault Diagnosis
  • Published:
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Abstract

Metal magnetic memory(MMM) testing has been widely used to detect welded joints. However, load levels, environmental magnetic field, and measurement noises make the MMM data dispersive and bring difficulty to quantitative evaluation. In order to promote the development of quantitative MMM reliability assessment, a new MMM model is presented for welded joints. Steel Q235 welded specimens are tested along the longitudinal and horizontal lines by TSC-2M-8 instrument in the tensile fatigue experiments. The X-ray testing is carried out synchronously to verify the MMM results. It is found that MMM testing can detect the hidden crack earlier than X-ray testing. Moreover, the MMM gradient vector sum K vs is sensitive to the damage degree, especially at early and hidden damage stages. Considering the dispersion of MMM data, the K vs statistical law is investigated, which shows that K vs obeys Gaussian distribution. So K vs is the suitable MMM parameter to establish reliability model of welded joints. At last, the original quantitative MMM reliability model is first presented based on the improved stress strength interference theory. It is shown that the reliability degree R gradually decreases with the decreasing of the residual life ratio T, and the maximal error between prediction reliability degree R 1 and verification reliability degree R 2 is 9.15%. This presented method provides a novel tool of reliability testing and evaluating in practical engineering for welded joints.

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Authors and Affiliations

  1. School of Mechanical Science and Engineering, Northeast Petroleum University, Daqing, 163318, China

    Haiyan Xing, Yongbin Dang, Ben Wang & Jiancheng Leng

Authors
  1. Haiyan Xing
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  2. Yongbin Dang
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  3. Ben Wang
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  4. Jiancheng Leng
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Corresponding author

Correspondence to Haiyan Xing.

Additional information

Supported by National Natural Science Foundation of China(Grant Nos. 11272084, 11472076), PetroChina Innovation Foundation(Grant No. 2015D-5006-0602), and Postdoctoral Science Research Developmental Foundation of Chinese Heilongjiang Province(Grant No. LBH-Q13035)

Biographical notes

XING Haiyan, born in 1971, is currently a professor at Northeast Petroleum University, China. She received her PhD degree from Harbin Institute of Technology, China, in 2007. Her research interests include nondestructive testing, reliability assessment and fault diagnosis.

DANG Yongbin, born in 1991, is currently a master candidate at Northeast Petroleum University, China

WANG Ben, born in 1985, is currently a master candidate at Northeast Petroleum University, China

LENG Jiancheng, born in 1977, is currently an associate professor at Northeast Petroleum University, China. He received his PhD degree from Harbin Institute of Technology, China, in 2012. His research interests include electromagnetic non-destructive evaluation.

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Xing, H., Dang, Y., Wang, B. et al. Quantitative metal magnetic memory reliability modeling for welded joints. Chin. J. Mech. Eng. 29, 372–377 (2016). https://doi.org/10.3901/CJME.2015.1119.136

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  • DOI: https://doi.org/10.3901/CJME.2015.1119.136

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