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Porosity Maps - Interactive Exploration and Visual Analysis of Porosity in Carbon Fiber Reinforced Polymers

机译:孔隙率图-碳纤维增强聚合物中孔隙率的交互式探索和可视化分析

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摘要

In this work a novel method for the characterization of porosity in carbon fiber reinforced polymers (CFRP) is presented. A visualization pipeline for the interactive exploration and visual analysis of CFRP specimens is developed to enhance the evaluation workflow for non-destructive testing (NDT) practitioners based on specified tasks. Besides quantitative porosity determination and the calculation of local pore properties, i.e., volume, surface, dimensions and shape factors, we employ a drill-down approach to explore pores in a CFRP specimen. We introduce Porosity Maps (PM), to allow for a fast porosity evaluation of the specimen. Pores are filtered in two stages. First a region of interest is selected in the porosity maps. Second, pores are filtered with parallel coordinates according to their local properties. Furthermore a histogram-based best-viewpoint widget was implemented to visualize the quality of viewpoints on a sphere. The advantages of our approach are demonstrated using real world CFRP specimens. We are able to show that our visualization-driven approach leads to a better evaluation of CFRP components than existing reference methods.
机译:在这项工作中,提出了一种表征碳纤维增强聚合物(CFRP)中孔隙率的新颖方法。开发了用于CFRP标本的交互式探索和可视化分析的可视化管道,以增强基于指定任务的无损检测(NDT)从业人员的评估工作流程。除了定量孔隙率测定和局部孔隙特性(即体积,表面,尺寸和形状因子)的计算外,我们还采用向下钻探方法来探索CFRP样品中的孔隙。我们引入孔隙率图(PM),以便快速评估样品的孔隙率。毛孔分为两个阶段进行过滤。首先,在孔隙度图中选择感兴趣的区域。其次,根据孔的局部特性用平行坐标过滤孔。此外,还实现了基于直方图的最佳视点小部件,以可视化球体上视点的质量。我们的方法的优势已通过实际的CFRP标本得到证明。我们能够证明,与现有参考方法相比,我们的可视化驱动方法可更好地评估CFRP组件。

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