Nondestructive Testing of Metal Cracks: Contemporary Methods and Emerging Challenges
Неразрушающий контроль трещин в металлах: современные методы и новые вызовы
2023-12-29
SCID: 54.1/a5ckbf38
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electromagnetic testingmachine learningmetal crack detectionnondestructive testingultrasonic testing
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Abstract (AI)
There are high demands for the early and reliable detection of metal components used in safety-critical structures. Nondestructive testing (NDT) is a pivotal technique used across industries to assess a material’s integrity without causing damage and has been used in early crack detection of metals, mainly based on changes in the crystal structure and magnetic properties of metals. This review provides an overview of internal and external detection technology based on nondestructive testing methods such as ultrasonic, electromagnetic, ray, magnetic particle, etc. Especially, the integration of advanced methodologies such as machine learning and artificial intelligence deserves a place in NDT methods. Furthermore, the multifactorial detection method is promoted to enhance the sensitivity and detection range due to advantage integration but still has emerging challenges for safer equipment and applications. The review aims to compare these methods and outline the future challenges of NDT technologies for metal crack detection.
Key Findings
1
Advanced machine-learning and artificial-intelligence methodologies are identified as important additions to conventional nondestructive testing.
2
Combining multiple detection methods is promoted to improve sensitivity and detection range through complementary advantages.
3
Despite these advances, emerging challenges remain for the safe deployment and application of metal-crack detection technologies.
4
Nondestructive testing enables early metal-crack detection while preserving the integrity of components used in safety-critical structures.
5
The review surveys internal and external crack-detection methods, including ultrasonic, electromagnetic, radiographic, and magnetic-particle techniques.
Research Object
Metal components in safety-critical structures containing internal and external cracks
Research Subject
Nondestructive detection of metal cracks, including the comparative capabilities, sensitivity, detection range, integration, and emerging challenges of ultrasonic, electromagnetic, radiographic, magnetic-particle, machine-learning, artificial-intelligence, and multifactorial methods
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2023-12-29
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