首页> 外文期刊>Metallurgical and Materials Transactions, A. Physical Metallurgy and Materials Science >Three-Dimensional Microstructure Visualization of Porosity and Fe-Rich Inclusions in SiC Particle-Reinforced Al Alloy Matrix Composites by X-Ray Synchrotron Tomography
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Three-Dimensional Microstructure Visualization of Porosity and Fe-Rich Inclusions in SiC Particle-Reinforced Al Alloy Matrix Composites by X-Ray Synchrotron Tomography

机译:X射线同步加速器层析成像技术在SiC颗粒增强铝合金基复合材料中孔隙和富Fe夹杂物的三维微观结构可视化

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摘要

Microstructural aspects of composites such as reinforcement particle size, shape, and distribution play important roles in deformation behavior. In addition, Fe-rich inclusions and porosity also influence the behavior of these composites, particularly under fatigue loading. Three-dimensional (3-D) visualization of porosity and Fe-rich inclusions in three dimensions is critical to a thorough understanding of fatigue resistance of metal matrix composites (MMCs), because cracks often initiate at these defects. In this article, we have used X-ray synchrotron tomography to visualize and quantify the morphology and size distribution of pores and Fe-rich inclusions in a SiC particle-reinforced 2080 Al alloy composite. The 3-D data sets were also used to predict and understand the influence of defects on the deformation behavior by 3-D finite element modeling.
机译:复合材料的微观结构方面,例如增强颗粒的大小,形状和分布在变形行为中起着重要作用。此外,富铁夹杂物和孔隙率也会影响这些复合材料的性能,尤其是在疲劳载荷下。三维(3-D)可视化三个维度的孔隙率和富铁夹杂物对于全面了解金属基复合材料(MMC)的抗疲劳性至关重要,因为裂纹通常始于这些缺陷。在本文中,我们使用了X射线同步加速器层析成像技术来可视化和量化SiC颗粒增强的2080 Al合金复合材料中孔和富铁夹杂物的形态和尺寸分布。 3-D数据集还用于通过3-D有限元建模来预测和理解缺陷对变形行为的影响。

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