MetaTracts。纤维增强复合材料中碳纤维束的鲁棒提取和可视化方法

Arindam Bhattacharya, C. Heinzl, A. Amirkhanov, J. Kastner, R. Wenger
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引用次数: 14

摘要

这项工作介绍了MetaTracts,一种从无尽碳纤维增强聚合物(CFRP)的x射线计算机断层扫描(XCT)中提取和可视化单个纤维束和编织图案的新方法。提出的工作流程旨在分析CFRP材料的单元格,并结合循环编织图案。它被设计用于处理低分辨率的XCT扫描,其中单个纤维不可见或几乎不可见。首先,使用粗版本的积分曲线来跟踪CFRP编织材料中单个纤维束的亚截面。我们称这些部分为元吸引。在第二步中,使用两步方法对这些提取的纤维束部分(MetaTracts)进行聚类:首先根据方向,然后根据接近度。该工具可以生成提取的纤维束的体积表示和表面模型,以便导出以进行进一步分析。我们在一些真实世界的数据集上评估了提议的工作流程,并证明了MetaTracts有效且稳健地识别和分离不同的光纤束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MetaTracts - A method for robust extraction and visualization of carbon fiber bundles in fiber reinforced composites
This work introduces MetaTracts, a novel method for extracting and visualizing individual fiber bundles and weaving patterns from X-ray computed tomography (XCT) scans of endless carbon fiber reinforced polymers (CFRP). The proposed work flow is designed to analyze unit cells of CFRP materials integrating the recurring weaving pattern. It is designed to handle XCT scans of low resolution, in which individual fibers are not visible or are barely visible. First, a coarse version of integral curves is used to trace subsections of the individual fiber bundles in the woven CFRP materials. We call these sections MetaTracts. In the second step, these extracted fiber bundle sections (MetaTracts) are clustered using a two-step approach: first by orientation, then by proximity. The tool can generate volumetric representations as well as surface models of the extracted fiber bundles to be exported for further analysis. We evaluate the proposed work flow on a number of real world datasets and demonstrate that MetaTracts effectively and robustly identifies and separates different fiber bundles.
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