Reliability and sensitivity of magnetic particle nondestructive testing in detecting the surface cracks of welded components

Zolfaghari, Alireza; Zolfaghari, Abbas; Kolahan, Farhad

doi:10.1080/10589759.2018.1428322

Cited by 84 publications

(34 citation statements)

References 21 publications

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“…However, MT technique in NDT still suffers from reliability and sensitivity in detecting the surface cracks because it depends on the capability of the material to be magnetized and can only detect the defects in few millimeters below the surface [37]. The reliability and sensitivity of MT are investigated in [38] to detect cracks of welded components. The study shows that the technique is not capable to detect any defects with a length of less than 1.5 mm which is not reliable to detect a small size of cracks.…”

Section: E Magnetic Particles Ndtmentioning

confidence: 99%

Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

2019

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The development in materials technology has produced stronger, lighter, stiffer, and more durable electrically insulating composites which are replacing metals in many applications. These composites require alternative inspection techniques because the conventional nondestructive testing (NDT) techniques such as thermography, eddy currents, ultrasonic, X-ray and magnetic particles have limitations of inspecting them. Microwave NDT technique employing open-ended rectangular waveguides (OERW) has emerged as a promising approach to detect the defects in both metal and composite materials. Despite its promising results over conventional NDT techniques, OERW microwave NDT technique has shown numerous limitations in terms of poor spatial resolution due to the stand-off distance variations, inspection area irregularities and quantitative estimation in imaging the size of defects. Microwave NDT employing OERW in conjunction with robust artificial intelligence approaches have tremendous potential and viability for evaluating composite structures for the purpose mentioned here. Artificial intelligence techniques with signal processing techniques are highly possible to enhance the efficiency and resolution of microwave NDT technique because the impact of artificial intelligence approaches is proven in various conventional NDT techniques. This paper provides a comprehensive review of NDT techniques as well as the prospect of using artificial intelligence approaches in microwave NDT technique with regards to other conventional NDT techniques. INDEX TERMS Microwave nondestructive testing, open-ended rectangular waveguides, artificial intelligence.

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Section: E Magnetic Particles Ndtmentioning

confidence: 99%

Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

2019

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“…The NDT techniques usually applied are penetration testing (PT), ultrasonic testing (UT), and fluorescent magnetic particle testing (FMPT) [20]. Because FMPT is suitable to complex workpiece examination and quickly displays the position and size of the defect, it is becoming the most widely used NDT technique [21]. During a cycle of FMPT, the workpiece is sprayed with magnetic particle suspension and simultaneously energized by a magnetic field.…”

Section: Introductionmentioning

confidence: 99%

A Novel Reticular Retained Austenite on the Weld Fusion Line of Low Carbon Martensitic Stainless Steel 06Cr13Ni4Mo and the Influence on the Mechanical Properties

Fan

Zhao²,

Zhao

et al. 2022

Metals

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When performing fluorescent magnetic particle testing in steel welding-repaired zones, as traditional viewpoint usually ascribes magnetic particle indications to discontinuous welding defects such as cracks, incomplete fusion, etc., welding-repaired zones showing indications of these defects are always judged to be unqualified. In this study, a novel reticular phase was identified on the weld fusion line of 06Cr13Ni4Mo. By selected area electron diffraction, it was proved to be an austenite. By roasting test, it was proved to be induced by the thermal effect of welding. Non-ferromagnetic reticular austenite reduces the overall magnetic permeability, leading to the presence of fluorescent magnetic particle indication. Though the mechanical properties of the welding repaired zone are changed by the reticular austenite with the yield strength, tensile strength, and microhardness decreasing to 571 MPa, 752 MPa, and 279, respectively, they still exceed the required values of standard specifications. 06Cr13Ni4Mo welding-repaired zones showing magnetic particle indications induced by reticular austenite are qualified and should be accepted.

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“…These appropriative sensors need external wiring, which leads to complex systems and the increase in weight. At the present stage, non-destructive testing and evaluation (NDT & E) technology, such as magnetic particle testing (MT) [ 6 ], ultrasonic testing [ 7 ], eddy current testing [ 8 ], thermal imaging/infrared testing [ 9 ], and so on, are widely used in metallic detection. These methods have high detection sensitivity and reliability.…”

Section: Introductionmentioning

confidence: 99%

Passive Wireless Dual-Tag UHF RFID Sensor System for Surface Crack Monitoring

Wang

Dong²,

Wang³

et al. 2021

Sensors

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The generation and propagation of cracks are critical factors that affect the performance and life of large structures. Therefore, in order to minimize maintenance costs and ensure personal safety, it is necessary to monitor key structures. The sensor based on ultra-high frequency radio frequency identification (UHF RFID) antenna has the advantages of passive wireless, low cost, and great potential in the field of metallic structure health monitoring. In this paper, aimed at the key parts of a metallic structure, a dual-tag system is used for crack monitoring. In conjunction with mode analysis, the principles of the sensing tag and the coupling principles of the dual-tag are analyzed. Considering that the dual-tag is placed in different methods, the effect of mutual coupling on the sensing performance of the tag is studied. The results show that the frequency of the sensing tag can be tuned by adding the interference tag, and the dual-tag sensor system has reasonable sensitivity. The results also provide potential guidance for the optimal placement of multiple tags in the near-field region.

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Reliability and sensitivity of magnetic particle nondestructive testing in detecting the surface cracks of welded components

Cited by 84 publications

References 21 publications

Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

A Novel Reticular Retained Austenite on the Weld Fusion Line of Low Carbon Martensitic Stainless Steel 06Cr13Ni4Mo and the Influence on the Mechanical Properties

Passive Wireless Dual-Tag UHF RFID Sensor System for Surface Crack Monitoring

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