Zhou Guangni, Zhu Wenxin, Shen Hao, Li Yao, Zhang Anfeng, Tamura Nobumichi, Chen Kai
Center for Advancing Materials Performance from the Nanoscale (CAMP-Nano), State Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P.R. China.
State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P.R. China.
Sci Rep. 2016 Jun 15;6:28144. doi: 10.1038/srep28144.
Synchrotron-based Laue microdiffraction has been widely applied to characterize the local crystal structure, orientation, and defects of inhomogeneous polycrystalline solids by raster scanning them under a micro/nano focused polychromatic X-ray probe. In a typical experiment, a large number of Laue diffraction patterns are collected, requiring novel data reduction and analysis approaches, especially for researchers who do not have access to fast parallel computing capabilities. In this article, a novel approach is developed by plotting the distributions of the average recorded intensity and the average filtered intensity of the Laue patterns. Visualization of the characteristic microstructural features is realized in real time during data collection. As an example, this method is applied to image key features such as microcracks, carbides, heat affected zone, and dendrites in a laser assisted 3D printed Ni-based superalloy, at a speed much faster than data collection. Such analytical approach remains valid for a wide range of crystalline solids, and therefore extends the application range of the Laue microdiffraction technique to problems where real-time decision-making during experiment is crucial (for instance time-resolved non-reversible experiments).
基于同步加速器的劳厄微衍射已被广泛应用于通过在微/纳米聚焦多色X射线探针下对非均匀多晶固体进行光栅扫描来表征其局部晶体结构、取向和缺陷。在典型实验中,会收集大量劳厄衍射图案,这需要新颖的数据处理和分析方法,尤其是对于无法使用快速并行计算能力的研究人员而言。在本文中,通过绘制劳厄图案的平均记录强度和平均滤波强度的分布,开发了一种新颖的方法。在数据收集过程中实时实现了特征微观结构特征的可视化。例如,该方法被应用于以比数据收集快得多的速度对激光辅助3D打印镍基高温合金中的微裂纹、碳化物、热影响区和枝晶等关键特征进行成像。这种分析方法对广泛的晶体固体仍然有效,因此将劳厄微衍射技术的应用范围扩展到实验过程中实时决策至关重要的问题(例如时间分辨不可逆实验)。