PDF(Pubmed)
Abstract：
This study evaluates multimodal imaging for characterizing microstructures in partially impregnated thermoplastic matrix composites made of woven glass fiber and polypropylene. The research quantifies the impregnation degree of fiber bundles within composite plates manufactured through a simplified compression resin transfer molding process. For comparison, a reference plate was produced using compression molding of film stacks. An original surface polishing procedure was introduced to minimize surface defects while polishing partially impregnated samples. Extended-field 2D imaging techniques, including polarized light, fluorescence, and scanning electron microscopies, were used to generate images of the same microstructure at fiber-scale resolutions throughout the plate. Post-processing workflows at the macro-scale involved stitching, rigid registration, and pixel classification of FM and SEM images. Meso-scale workflows focused on 0°-oriented fiber bundles extracted from extended-field images to conduct quantitative analyses of glass fiber and porosity area fractions. A one-way ANOVA analysis confirmed the reliability of the statistical data within the 95% confidence interval. Porosity quantification based on the conducted multimodal approach indicated the sensitivity of the impregnation degree according to the layer distance from the pool of melted polypropylene in the context of simplified-CRTM. The findings underscore the potential of multimodal imaging for quantitative analysis in composite material production.
摘要：
这项研究评估了多模态成像，以表征由玻璃纤维和聚丙烯制成的部分浸渍热塑性基体复合材料中的微观结构。该研究量化了通过简化的压缩树脂传递模塑工艺制造的复合板内纤维束的浸渍程度。为了比较，使用薄膜叠层的压缩模制生产参考板。引入原始表面抛光程序以最小化表面缺陷,同时抛光部分浸渍的样品。扩展场二维成像技术，包括偏振光，荧光，和扫描电子显微镜，用于在整个板上以纤维尺度分辨率生成相同微观结构的图像。涉及拼接的宏观尺度的后处理工作流，刚性注册，以及FM和SEM图像的像素分类。细观尺度工作流程侧重于从扩展场图像中提取的0°取向纤维束，以对玻璃纤维和孔隙率面积分数进行定量分析。单因素方差分析证实了统计数据在95%置信区间内的可靠性。基于进行的多峰方法的孔隙率量化表明，在简化的CRTM背景下，根据与熔融聚丙烯池的层距离，浸渍程度的敏感性。这些发现强调了多模态成像在复合材料生产中进行定量分析的潜力。
