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[Boundary threshold value method used in crystalline material internal defect detection by short wavelength X-ray
Jian-Lei Mu1, Jin Zhang, Zheng-Huan Gao
1Beijing Key Laboratory for Corrosion, Erosion and Surface Technology, University of Science and Technology Beijing, Beijing 100083, China. mujianlei725@126.com
This study introduces a thresholding method for X-ray diffraction tomography using a short wavelength X-ray diffractometer (SWXRD) to clearly detect crystalline material defects. The method effectively determines defect boundaries, enhancing imaging quality for internal defect analysis.
Area of Science:
- Materials Science
- Crystallography
- Non-destructive Testing
Context:
- X-ray diffraction tomography (XRD) is crucial for analyzing crystalline material internal defects.
- Existing methods often rely on expensive synchrotron radiation or neutron sources.
- Common X-ray sources, like the short wavelength X-ray diffractometer (SWXRD), offer a more accessible alternative but face challenges in defect boundary determination.
Purpose:
- To develop and validate a novel thresholding method for processing diffracted intensity data in SWXRD tomography.
- To improve the clarity and accuracy of internal defect boundary detection in crystalline materials.
- To investigate the influence of various factors on the optimal threshold value.
Summary:
- A threshold value method based on diffracted intensity is proposed for X-ray diffraction tomography using SWXRD.
- Gaussian fitting was employed to analyze factors influencing the threshold value, specifically using image quality indicators in powdered aluminum.
- The study determined that 91% of the substrate's diffraction intensity serves as an effective threshold, validated by experiments on aluminum alloy sheets with slit defects.
Impact:
- Enables clearer visualization and more reliable detection of internal defects in crystalline materials using accessible SWXRD technology.
- Provides a practical and validated method for determining defect boundaries, enhancing the quality of tomographic imaging.
- Contributes to advancements in non-destructive testing and materials characterization, facilitating quality control and research.
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