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Skeletonization, Geometrical Analysis, and Finite Element Modeling of Nanoporous Gold Based on 3D Tomography Data

机译:基于3D层析成像数据的纳米多孔金的骨架化,几何分析和有限元建模

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Various modeling approaches simplify and parametrize the complex network structure of nanoporous gold (NPG) for studying the structure–property relationship based on artificially generated structures. This paper presents a computational efficient and versatile finite element method (FEM) beam model that is based on skeletonization and diameter information derived from the original 3D focused ion beam-scanning electron microscope (FIB-SEM) tomography data of NPG. The geometrical skeleton network is thoroughly examined for a better understanding of the NPG structure. A skeleton FEM beam model is derived that can predict the macroscopic mechanical behavior of the material. Comparisons between the mechanical response of this skeleton beam model and a solid FEM model are conducted. Results showed that the biggest-sphere diameter algorithm implemented in the open-source software FIJI, commonly used for geometrical analysis of microstructural data, overestimates the diameter of the curved NPG ligaments. The larger diameters lead to a significant overestimation of macroscopic stiffness and strength by the skeleton FEM beam model. For a parabolic shaped ligament with only 20% variation in its diameter, a factor of more than two was found in stiffness. It is concluded that improved algorithms for image processing are needed that provide accurate diameter information along the ligament axis.
机译:各种建模方法可以简化和参数化纳米孔金(NPG)的复杂网络结构,以研究基于人工生成的结构的结构与属性之间的关系。本文提出了一种计算有效且通用的有限元方法(FEM)束模型,该模型基于从NPG原始3D聚焦离子束扫描电子显微镜(FIB-SEM)层析成像数据得出的骨架化和直径信息。彻底检查了几何骨架网络,以更好地理解NPG结构。推导了可以预测材料宏观机械性能的骨架有限元梁模型。在此骨架梁模型的机械响应与实体FEM模型之间进行了比较。结果表明,在开源软件FIJI中实现的最大球直径算法通常用于微观结构数据的几何分析,它高估了NPG弯曲韧带的直径。较大的直径导致骨架FEM梁模型明显高估了宏观刚度和强度。对于直径仅变化20%的抛物线状韧带,发现其刚度大于两倍。结论是需要用于图像处理的改进算法,该算法可沿韧带轴提供准确的直径信息。

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