Device and method for testing steel defect based on internal and external magnetic perturbation

    公开(公告)号:US11378548B2

    公开(公告)日:2022-07-05

    申请号:US17146703

    申请日:2021-01-12

    Abstract: A device and a method for testing a steel defect based on internal and external magnetic perturbation. The device includes: a magnetizer comprising a magnetization source and a magnet yoke, arranged on a surface of a sample, and configured to generate two types of typical magnetic field regions applied to testing based on internal and external magnetic perturbation; a double-row magnetic sensor probe, configured to collect internal and external magnetic perturbation data; a master controller, configured to perform pre-processing on the internal and external magnetic perturbation data, and store the pre-processed data; scanner wheels, configured to generate a sampling trigger pulse during scanning to enable the master controller to receive the internal and external magnetic perturbation data from the probes; and a host computer, configured to analyze the pre-processed data uploaded by the master controller to obtain a defect quantitative result.

    Method and device for detecting and evaluating defect

    公开(公告)号:US11099156B2

    公开(公告)日:2021-08-24

    申请号:US16403990

    申请日:2019-05-06

    Abstract: The present disclosure provides a method and a device for detecting and evaluating a defect with electromagnetic multi-field coupling. The method includes magnetizing a pipeline with the electromagnetic multi-field coupling; detecting a defect of the pipeline along an axial direction of the pipeline at a constant speed; collecting signals at a position of the defect to obtain magnetic leakage signals in three dimensions and an electrical impedance signal; pre-processing the collected signals; decoupling the pre-processed signals, to obtain decoupled magnetic leakage signals and a decoupled electrical impedance signal; performing impedance analysis on the decoupled electrical impedance signal, and determining a type of the defect based on a phase angle of the decoupled electrical impedance signal; and performing quantification analysis on the decoupled magnetic leakage signals and performing quantification evaluation on a size of the defect using a neural network defect quantification method.

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