Analysis of Isotropy and Uniformity of the Distribution of Reinforcing Phase in Cu/SiC Composite Materials Using μCT Methods

IF 0.8 4区 计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
K. Pietrzak, A. Gładki, A. Strojny-Nędza, T. Wejrzanowski, K. Kaszyca
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引用次数: 1

Abstract

Tomography allows embedding of one space in another, especially ℛ2 → ℛ3, and observation of the nature of the volumetric internal composite structure. Now, not only a simple interpretation is expected of geometry defined via single thresholds of structures. The binary segmentation used for numerical structure analysis requires more detailed presentation. This paper shows an example of image analysis techniques applied to study the homogeneity of two-phase material. Using tomography analysis, the results of the homogeneity of the SiC particles with 10vol.%, 20vol.%, 30vol.%, 40vol.% volumetric bulk density of Cu/SiC composites are presented. Finally, for two independent coordinate systems, the distribution of  SiC particle masses and their total moments of inertia were determined. The results confirmed that for well-mixed composite powders the homogeneity of the reinforcing phase is expected in samples with a  SiC volume near 30vol.%. In this case, segregation by translation and rotation of SiC particles in the matrix, during the sintering process is restricted.
μCT法分析Cu/SiC复合材料中增强相分布的各向同性和均匀性
层析成像允许将一个空间嵌入到另一个空间中,特别是可以观察到体积内部复合结构的性质。现在,不仅期望通过单一结构阈值定义几何的简单解释。用于数值结构分析的二值分割需要更详细的介绍。本文给出了一个应用图像分析技术研究两相材料均匀性的例子。采用层析分析,结果表明SiC颗粒在10vol时均匀性较好。%, 20卷。%, 30卷。%, 40卷。给出了Cu/SiC复合材料的体积容重。最后,在两个独立的坐标系下,确定了SiC粒子质量和总转动惯量的分布。结果证实,对于混合良好的复合粉末,在SiC体积接近30vol.%的样品中,增强相的均匀性是预期的。在这种情况下,在烧结过程中,SiC颗粒在基体中的平移和旋转引起的偏析受到限制。
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来源期刊
Image Analysis & Stereology
Image Analysis & Stereology MATERIALS SCIENCE, MULTIDISCIPLINARY-MATHEMATICS, APPLIED
CiteScore
2.00
自引率
0.00%
发文量
7
审稿时长
>12 weeks
期刊介绍: Image Analysis and Stereology is the official journal of the International Society for Stereology & Image Analysis. It promotes the exchange of scientific, technical, organizational and other information on the quantitative analysis of data having a geometrical structure, including stereology, differential geometry, image analysis, image processing, mathematical morphology, stochastic geometry, statistics, pattern recognition, and related topics. The fields of application are not restricted and range from biomedicine, materials sciences and physics to geology and geography.
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