Automated and quantitative analysis of plastic strain localization via multi-modal data recombination
Automated and quantitative analysis of plastic strain localization via multi-modal data recombination
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DOI：
10.1016/j.matchar.2020.110245
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发表时间：
2020-05-01
影响因子：
4.7
通讯作者：
Pollock, T. M.
中科院分区：
文献类型：
--
作者：
Charpagne, M. A.;Stinville, J. C.;Pollock, T. M.
提出了一种多模态数据重组方法，该方法能够自动、定量和统计地评估应变局部化作为微观结构的函数。它包括将扫描电子显微镜（SEM）收集的高分辨率数字图像相关（HR-DIC）数据集与电子背散射衍射（EBSD）获得的晶体学数据合并。由于数据通常是在大面积（约1毫米(2)）上收集的，因此该方法可以定量评估数百到数千个颗粒的塑性应变局部化，但空间分辨率为数十纳米。数据以分层方式处理，以便应变局部化现象可以作为相，织构和晶粒取向的函数进行研究。使用不连续容差DIC编码，如本例中的Heaviside DIC (H-DIC)，可以识别与滑移带不连续相关的有源滑移系统。在数千个晶粒中进行的数千个波段的分析使基本塑性规律的定量评估成为可能。通过对Ti-6Al-4V和Inconel 718合金的应用表明了该方法的能力。
A multi-modal data recombination method that enables the automated, quantitative and statistical assessment of strain localization as a function of the microstructure is presented. It consists of merging high resolution digital image correlation (HR-DIC) datasets collected in a scanning electron microscope (SEM), with crystallographic data obtained from electron back-scattered diffraction (EBSD). As the data is typically gathered over large areas (about 1 mm(2)), this method enables the quantitative assessment of plastic strain localization over hundreds to thousands of grains, yet with a spatial resolution of tens of nanometers. The data is treated in a hierarchical manner so that strain localization phenomena can be studied as a function of phases, texture and grain orientation. The use of discontinuity tolerant DIC codes, such as Heaviside DIC (H-DIC) in the present case, enables identification the active slip system associated with slip band discontinuities. Analyses conducted over thousands of bands in thousands of grains enable the quantitative assessment of fundamental plasticity laws. The capabilities of this method are shown through application to Ti-6Al-4V and Inconel 718 alloys.