A dendritic β-phase reinforced bulk metallic glass(BMG) composite named as D2 was prepared by rapid quenching of a homogenous Zr60Ti14.67Nb5.33Cu5.56Ni4.44Be10 melt, and characterized by means of X-ray diffraction(XRD), scanning electron microscopy(SEM) observation and room-temperature compression test. The microstructure and mechanical properties were compared with those of the spherical β-phase reinforced composite named as composite S2. It was found that the composite D2 contains β-phase dendrites up to 56% in volume-fraction, and exhibits a ductile compressive behavior with plastic strain of 12.7%. As the high-volumefractioned β-phase dendrites transferred to coarse spherical particles of about 20 μm in diameter in the composite S2, a much improved plastic strain up to 20.4% can be achieved. Micrographs of the fractured samples reveal different interaction modes of the propagating shear bands with the dendritic and spherical β phase inclusions, resulting in different shear strains in the composite samples. The matrix of composite S2 undergoes a significantly larger shear strain than that of the composite D2 before ultimate failure, which is thought to be mainly responsible for the greatly increased global plastic strain of the S2 relative to D2.
在这研究， 67 件表面沉积样品在中央西藏从 Nam 公司收集了为全部的碳，全部的器官的碳和全部的氮被分析，并且这些中的 51 个取样也为 n 链烷被分析。起源和有机物的空间分发然后用这些代理，和负责的控制因素被调查因为空间分发模式和 paleolimnological 意义被讨论。结果显示在 Nam 公司的表面沉积的有机物的起源与 n 链烷的来源一致，它是首先沉没的植物，由陆上的植物，然后水的水藻和细菌列在后面。在湖的表面沉积的有机物显示出典型空间可变性。因为大影响在水下地形学，河输入和水质量，有机物的空间分发从来源被充实到存款中心。在湖的有机物的这空间可变性显示在不同区域的沉积有不同敏感到环境变化，它用湖沉积核心对 paleoenvironments 和古气候的重建重要。
The generation of high-resolution DEM from interferometric SAR has resulted in the need for accurate and efficient methods of 2-dimensional phase unwrapping. In this paper, we give a brief description of the mathematical base of phase unwrapping, and a detailed description of the unweighted and weighted least square phase unwrapping algorithm.Then our algorithm combining with the weighted least square phase unwrapping guided by the branch-cuts derived from Goldstein’ s algorithm and coherence coefficient map derived from the INSAR data is provided. In our experiment we write subroutines of the Goldstein’s branch-cut algorithm,unweighted and weighted least square phase unwrapping algorithm as well as our algorithm,and construct a small experiment system to resolve the phase unwrapping problem. Finally we test our algorithm on some INSAR data. The result shows that our approach can obtain unwrapped phase correctly and efficiently.
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