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This document outlines the application of the metal magnetic memory (MMM) technique to identify Stress Concentration Zones (SCZ) in areas of concern, such as pipe support weldments and parent metal under stress. It addresses the detection of SCZs or cracks in insulated piping components, including fillet welds of pipe supports. Traditional non-destructive testing (NDT) methods face limitations in inspecting objects beneath insulation, especially when the damage involves material deformation or cracking. These methods are often impractical and expensive, with limited productivity and applicability to high-temperature surfaces. As a result, PRPC UF has evaluated several advanced NDT technologies and concluded that the MMM technique can overcome these obstacles. The MMM technique evaluates the distribution of passive magnetic fields emitted by the inspected objects, including the welds of the pipe support, to identify the exact area of interest associated with crack-like anomalies. However, due to the passive nature of MMM, reference or calibration data for establishing SCZ thresholds, particularly for crack-like anomalies, is limited. A new concept for the threshold of the minimum-maximum gradient of magnetic stray field and the range of magnetic stray field intensity has been developed. The severity of the findings is classified into three priorities based on distinct gate-level thresholds, providing an accurate representation of the SCZ. For all Priority 1 findings, it is recommended to remove insulation to confirm the presence of abnormalities by other conventional NDT methods. Detailed site inspections revealed numerous rejectable weld anomalies, such as cracks, undercuts, and poor weld profiles. Furthermore, periodic monitoring of the MMM technique also revealed an increase in magnetic stray field data, indicating the growth of these anomalies. The current results demonstrate that the MMM technique can effectively identify SCZ areas and assess early damage in weldments and parent metal during the inspection of insulated piping.

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Challenges in Detecting Welding Anomalies Under Insulation: A Case Study Using Metal Magnetic Memory Technique

  • 会议论文

  • 发表日期：

    2026年

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  • M. Z. H. M. Zailani,
  • K. A. Kamarudin,
  • W. A. W. Hamat

摘要

This document outlines the application of the metal magnetic memory (MMM) technique to identify Stress Concentration Zones (SCZ) in areas of concern, such as pipe support weldments and parent metal under stress. It addresses the detection of SCZs or cracks in insulated piping components, including fillet welds of pipe supports. Traditional non-destructive testing (NDT) methods face limitations in inspecting objects beneath insulation, especially when the damage involves material deformation or cracking. These methods are often impractical and expensive, with limited productivity and applicability to high-temperature surfaces. As a result, PRPC UF has evaluated several advanced NDT technologies and concluded that the MMM technique can overcome these obstacles. The MMM technique evaluates the distribution of passive magnetic fields emitted by the inspected objects, including the welds of the pipe support, to identify the exact area of interest associated with crack-like anomalies. However, due to the passive nature of MMM, reference or calibration data for establishing SCZ thresholds, particularly for crack-like anomalies, is limited. A new concept for the threshold of the minimum-maximum gradient of magnetic stray field and the range of magnetic stray field intensity has been developed. The severity of the findings is classified into three priorities based on distinct gate-level thresholds, providing an accurate representation of the SCZ. For all Priority 1 findings, it is recommended to remove insulation to confirm the presence of abnormalities by other conventional NDT methods. Detailed site inspections revealed numerous rejectable weld anomalies, such as cracks, undercuts, and poor weld profiles. Furthermore, periodic monitoring of the MMM technique also revealed an increase in magnetic stray field data, indicating the growth of these anomalies. The current results demonstrate that the MMM technique can effectively identify SCZ areas and assess early damage in weldments and parent metal during the inspection of insulated piping.