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Extracting dislocations and non-dislocation crystal defects from atomistic simulation data

机译:从原子模拟数据中提取位错和非位错晶体缺陷

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We describe a novel method for extracting dislocation lines from atomistic simulation data in a fully automated way. The dislocation extraction algorithm (DXA) generates a geometric description of dislocation lines contained in an arbitrary crystalline model structure. Burgers vectors are determined reliably, and the extracted dislocation network fulfills the Burgers vector conservation ruleateach node. All remainingcrystal defects (grain boundaries, surfaces, etc), which cannot be represented by one-dimensional dislocation lines, are output as triangulated surfaces. This geometric representation is ideal for visualization of complex defect structures, even if they are not related to dislocation activity. In contrast to the recently proposed on-the-fly dislocation detection algorithm (ODDA) Stukowski (2010 Modelling Simul. Mater. Sci. Eng. 18 015012) the new method is extremely robust. While the ODDA was designed for a computationally efficient on-the-fly analysis, the DXA method enables a detailed analysis of dislocation lines even in highly distorted crystal regions, as they occur, for instance, close to grain boundaries or in dense dislocation networks.
机译:我们描述了一种从原子模拟数据中以全自动方式提取位错线的新颖方法。位错提取算法(DXA)生成包含在任意晶体模型结构中的位错线的几何描述。 Burgers向量可靠地确定,提取的位错网络满足Burgers向量守恒Ruleateach节点。所有残留的晶体缺陷(晶界,表面等)(不能用一维位错线表示)都作为三角化表面输出。这种几何表示法是可视化复杂缺陷结构的理想选择,即使它们与位错活动无关。与最近提出的动态位错检测算法(ODDA)Stukowski(2010 Modeling Simul。Mater。Sci。Eng。18 015012)相比,该新方法非常健壮。 ODDA是为计算效率高的动态分析而设计的,而DXA方法可以对位错线进行详细分析,即使位错线出现在例如靠近晶界或密集的位错网络中的高畸变晶体区域中。

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