论文标题
图像处理管道，用于薄细胞中金属合金定向固化的原位动态X射线成像
An image processing pipeline for in-situ dynamic X-ray imaging of directional solidification of metal alloys in thin cells
论文作者
论文摘要
我们提出了一种图像处理算法开发的，用于使用X射线成像对薄细胞中金属合金的定向固化进行定量分析。我们的方法允许识别流体体积，流体通道和空腔，并将它们与凝固结构分开。它还允许在固体分数中进行形态分析，包括通过方向和连通性自动分解为显性晶粒。另外，可以通过表征流体中的对流羽流以及在发育中的固化前端上方的溶质浓度来研究凝固和对流之间的相互作用。使用的图像过滤器使开发的代码（开源）即使是具有低信噪比，低对比度与噪声比和低图像分辨率的单个图像的可靠工作。通过将代码应用于几个动态原位X射线成像实验，并在薄细胞中使用固化的凝胶合金来证明这一点。可以从代码输出中获得谷物（和全局）树突方向统计，对流羽流参数化等。还解释了提出的方法的局限性。
We present an image processing algorithm developed for quantitative analysis of directional solidification of metal alloys in thin cells using X-ray imaging. Our methodology allows to identify the fluid volume, fluid channels and cavities, and to separate them from the solidified structures. It also allows morphological analysis within the solid fraction, including automatic decomposition into dominant grains by orientation and connectivity. In addition, the interplay between solidification and convection can be studied by characterizing convection plumes in the fluid, and solute concentrations above the developing solidification front. The image filters used enable the developed code (open-source) to work reliably even for single images with low signal-to-noise ratio, low contrast-to-noise ratio, and low image resolution. This is demonstrated by applying the code to several dynamic in situ X-ray imaging experiments with a solidifying gallium-indium alloy in a thin cell. Grain (and global) dendrite orientation statistics, convective plume parameterization, etc. can be obtained from the code output. The limitations of the presented approach are also explained.
