Non-Destructive Testing of Metallic Materials

A special issue of Metals (ISSN 2075-4701).

Deadline for manuscript submissions: closed (30 June 2025) | Viewed by 339

Special Issue Editor

School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China
Interests: NDT&E; thermal wave imaging; signal processing; photothermal science and detection
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Non-destructive testing and evaluation (NDT&E) is playing an increasingly important role in modern industry. NDT&E is a method that utilizes the physical properties of materials (such as sound, light, magnetism, electricity, etc.) to detect defects, inhomogeneities, and other technical conditions within or on the surface of an object, without damaging or compromising its serviceability. As essential industrial materials, metallic materials find widespread application in the national economy. Flaws and impairments in metallic materials have a direct impact on the performance of structures or mechanisms. Hence, performing NDT&E on metallic materials is of paramount importance. This special issue is focused on NDT&E of metallic materials via different NDT&E approaches. Both theoretical research and industrial application are welcome, which should be within, but not limited to, the following fields:

  • NDT&E.
  • Traditional detection methods, such as ultrasound, radiation, and optics.
  • Novel non-destructive testing technique.
  • Multimode thermography techniques.
  • Signal analysis and feature extraction algorithms.
  • Advanced industrial applications.
  • Laser ultrasound imaging.
  • Theoretical and simulation analysis.

Dr. Fei Wang
Guest Editor

Manuscript Submission Information

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Keywords

  • non-destructive testing
  • inhomogeneities
  • metallic materials
  • laser ultrasound imaging
  • multimode thermography techniques
  • theoretical and simulation analysis

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Published Papers (1 paper)

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Research

14 pages, 3658 KiB  
Article
Research on the Vector Coherent Factor Threshold Total Focusing Imaging Method for Austenitic Stainless Steel Based on Material Characteristics
by Tianwei Zhao, Ziyu Liu, Donghui Zhang, Junlong Wang and Guowen Peng
Metals 2025, 15(8), 901; https://doi.org/10.3390/met15080901 - 12 Aug 2025
Viewed by 109
Abstract
The degree of anisotropy and heterogeneity in coarse-grained materials significantly affects ultrasonic propagation behavior and scattering. This paper proposes a vector coherent factor threshold total focusing imaging method (VCF-T-TFM) for austenitic stainless steel, based on material properties, through a combination of simulation and [...] Read more.
The degree of anisotropy and heterogeneity in coarse-grained materials significantly affects ultrasonic propagation behavior and scattering. This paper proposes a vector coherent factor threshold total focusing imaging method (VCF-T-TFM) for austenitic stainless steel, based on material properties, through a combination of simulation and experimentation. Three types of austenitic stainless steel weld test blocks with varying degrees of heterogeneity were selected containing multiple side-drilled hole defects, each with a diameter of 2 mm. Full-matrix data were collected using a 32-element phased array probe with a center frequency of 5 MHz. The grain size and orientation of the material were quantitatively observed via electron backscatter diffraction (EBSD). By combining the instantaneous phase distribution of the TFM image, the coarse-grained material coherence compensation value (CA) and probability threshold (PT) were optimized for different heterogeneous regions, and the vector coherence imaging threshold (γ) was adjusted. The defect imaging results of homogeneous material (carbon steel) and three austenitic stainless steels with different levels of heterogeneity were compared, and the influence of coarse-grained, anisotropic heterogeneous structures on the imaging signal-to-noise ratio was analyzed. The results show that the VCF-T-TFM, which considers the influence of material properties on phase coherence, can suppress structural noise. Compared to compensation results that did not account for material properties, the signal-to-noise ratio was improved by 97.3%. Full article
(This article belongs to the Special Issue Non-Destructive Testing of Metallic Materials)
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