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电子背散射衍射(EBSD)数据中关于位错和位错边界的统计分析。

Statistical analysis of dislocations and dislocation boundaries from EBSD data.

作者信息

Moussa C, Bernacki M, Besnard R, Bozzolo N

机构信息

MINES ParisTech, PSL - Research University, CEMEF - Centre de mise en forme des matériaux, CNRS UMR 7635, CS 10207 rue Claude Daunesse 06904 Sophia Antipolis Cedex, France.

MINES ParisTech, PSL - Research University, CEMEF - Centre de mise en forme des matériaux, CNRS UMR 7635, CS 10207 rue Claude Daunesse 06904 Sophia Antipolis Cedex, France.

出版信息

Ultramicroscopy. 2017 Aug;179:63-72. doi: 10.1016/j.ultramic.2017.04.005. Epub 2017 Apr 14.

Abstract

Electron BackScatter Diffraction (EBSD) is often used for semi-quantitative analysis of dislocations in metals. In general, disorientation is used to assess Geometrically Necessary Dislocations (GNDs) densities. In the present paper, we demonstrate that the use of disorientation can lead to inaccurate results. For example, using the disorientation leads to different GND density in recrystallized grains which cannot be physically justified. The use of disorientation gradients allows accounting for measurement noise and leads to more accurate results. Misorientation gradient is then used to analyze dislocations boundaries following the same principle applied on TEM data before. In previous papers, dislocations boundaries were defined as Geometrically Necessary Boundaries (GNBs) and Incidental Dislocation Boundaries (IDBs). It has been demonstrated in the past, through transmission electron microscopy data, that the probability density distribution of the disorientation of IDBs and GNBs can be described with a linear combination of two Rayleigh functions. Such function can also describe the probability density of disorientation gradient obtained through EBSD data as reported in this paper. This opens the route for determining IDBs and GNBs probability density distribution functions separately from EBSD data, with an increased statistical relevance as compared to TEM data. The method is applied on deformed Tantalum where grains exhibit dislocation boundaries, as observed using electron channeling contrast imaging.

摘要

电子背散射衍射(EBSD)常用于金属中位错的半定量分析。一般来说,取向差用于评估几何必要位错(GNDs)密度。在本文中,我们证明使用取向差会导致结果不准确。例如,使用取向差会导致再结晶晶粒中出现不同的GND密度,这在物理上是不合理的。使用取向差梯度可以考虑测量噪声并得到更准确的结果。然后按照之前应用于透射电镜数据的相同原理,使用取向差梯度来分析位错边界。在之前的论文中,位错边界被定义为几何必要边界(GNBs)和偶然位错边界(IDBs)。过去通过透射电子显微镜数据已经证明,IDBs和GNBs取向差的概率密度分布可以用两个瑞利函数的线性组合来描述。如本文所报道的,这样的函数也可以描述通过EBSD数据获得的取向差梯度的概率密度。这为从EBSD数据中分别确定IDBs和GNBs概率密度分布函数开辟了道路,与透射电镜数据相比,统计相关性更高。该方法应用于变形钽,通过电子通道衬度成像观察到其晶粒中存在位错边界。

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