Automated slip system identification and strain analysis framework using high-resolution digital image correlation data: Application to a bimodal Ti-6Al-4V alloy
Automated slip system identification and strain analysis framework using high-resolution digital image correlation data: Application to a bimodal Ti-6Al-4V alloy
复制标题
使用高分辨率数字图像相关数据的自动滑移系统识别和应变分析框架：在双峰 Ti-6Al-4V 合金中的应用
DOI：
10.1016/j.ijplas.2023.103618
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发表时间：
2023
影响因子：
9.8
通讯作者：
Enoki Manabu
中科院分区：
文献类型：
--
作者：
Hu Haoyu;Briffod Fabien;Shiraiwa Takayuki;Enoki Manabu
滑移系统识别的统计分析和局部塑性的定量研究对于理解多晶金属材料中亚晶级滑移活动的集体变形至关重要。在本研究中，利用高分辨率数字图像相关 (HR-DIC) 的结果，引入了一种用于识别滑移系统和评估滑移带应变定位的自动化框架，称为 ASSISL（自动滑移系统识别和滑移带应变定位分析），并在拉伸载荷下的双峰 Ti-6Al-4V 合金的 1591 个初生 α 晶粒上进行了演示。该框架包括：(1) 通过处理 EBSD 畸变，将电子背散射衍射 (EBSD) 图与 HR-DIC 的应变场图对齐；(2) 通过基于 Radon 变换的算法，从每个晶粒的应变场图中识别滑移带方向；(3) 结合施密德因子和临界解析剪切应力分析进行滑移系统分配；(4) 通过滑移活动对塑性进行量化，提供每个晶粒中滑移带的数量、位置和平均应变的信息。通过将当前统计结果与现有文献进行比较，以及检查分配错误滑移系统的晶粒的原因（占初级 α 晶粒的 9.6％（1591 个中的 153 个）），验证了 ASISL 的可信度。还对 ASISL 和其他基于 HR-DIC 的滑差识别方法进行了比较。该框架提供了一种以省时且自动化的方式分析大量多晶金属晶粒中滑移活动的方法。
Statistical analysis of slip system identification and quantitative study on local plasticity is crucial to understand the collective deformation by the sub-grain-scale slip activities in polycrystalline metallic materials. In this study, an automated framework for identifying slip system and assessing strain localization of slip bands termed ASSISL (automated Slip System Identification and Strain Localization analysis of slip bands) is introduced, using the results from high resolution digital image correlation (HR-DIC), and is demonstrated on 1591 primary α grains of a bimodal Ti-6Al-4V alloy under tensile loading. The framework includes:(1) alignment of electron backscattered diffraction (EBSD) maps with strain field maps from HR-DIC through treatment of EBSD distortion,(2) slip band orientations identification from strain field map of each grain through a Radon-transform-based algorithm,(3) slip system assignment with combined Schmid factor and critical resolved shear stress analysis,(4) quantification of plasticity by slip activities which provides information on the numbers, positions and mean strain of slip bands in each grain. The confidence of ASSISL is validated through comparing current statistical results with existing literature, as well as examining reasons for grains assigned with wrong slip systems, which accounts for 9.6 percent (153 out of 1591) of the primary α grains. A comparison between ASSISL and other HR-DIC-based slip identification methods is also conducted. This framework provides a method for analyzing slip activities in a large number of grains of polycrystalline metals in a time-saving and automated fashion.