研究目的
The primary goal is the non-destructive detection of internal defects such as pores and the quantification of porosity in fibre reinforced polymer samples using phase-contrast imaging.
研究成果
DPC imaging provides better image quality with reduced metal streaking artefacts and improved pore detection in multi-material systems like CFRP with copper mesh and GFRP. It facilitates porosity quantification without needing MAR correction, though pore sizes may be overestimated. The method shows potential for industrial applications in non-destructive testing, especially for inspecting lightening conduction structures in composites.
研究不足
The TLGI system has high scanning effort and longer measurement times. DPC may blur and overestimate pore sizes due to larger focal spot sizes. The system is restricted to small sample sizes (max 20 mm diameter, 60 mm length) and lower kV range, limiting applicability to larger or higher-energy requiring samples. Intensity variations from Moiré patterns in DPC data require additional image processing, which can reduce contrast.
1：Experimental Design and Method Selection:
The study uses a Talbot-Lau grating interferometer (TLGI) XCT system to acquire multi-modal image data (AC, DPC, DFC) and compares it with conventional absorption-based XCT. Methods include phase stepping, Fourier analysis for image extraction, and metal artefact reduction (MAR) based on sinogram inpainting.
2：Sample Selection and Data Sources:
Two samples are used: a carbon fibre reinforced polymer (CFRP) with embedded copper mesh and a short glass fibre reinforced polymer (GFRP). Samples are cut from real parts to fit the XCT system constraints.
3：List of Experimental Equipment and Materials:
Equipment includes SkyScan 1294 TLGI XCT system, Nanotom 180 NF XCT device, and software like NRecon and Mitos for reconstruction. Materials include CFRP and GFRP samples with specified dimensions and compositions.
4：Experimental Procedures and Operational Workflow:
Samples are scanned using XCT systems with specific parameters (e.g., tube voltage, voxel size, exposure time). Phase stepping is performed for TLGI, and data is reconstructed using filtered back projection algorithms. Image processing steps like median filtering and difference image calculation are applied for porosity evaluation.
5：Data Analysis Methods:
Porosity is quantified using global thresholding techniques (e.g., ISO50 threshold). Contrast and noise are evaluated from histograms and image comparisons. Segmentation and 3D rendering are done using software tools.
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