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Analysis of Largest Sulfide Inclusions in Low Carbon Steel by Using Statistics of Extreme Values

机译:利用极值统计分析低碳钢中最大的硫化物夹杂物

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摘要

The statistics of extreme values was applied for the determination of the largest sulfide inclusions with different morphology in low carbon steel samples by using both two-dimensional (2D) observations on the polished cross section and three-dimensional (3D) observations on a surface of a film filter after electrolytic extraction of the samples. It was found that the globular, rod-like and dendritic sulfides in the molten steel sample as well as the elongated sulfides in the rolled steel sample can be successfully extracted from the both samples, and analyzed precisely by using extreme value analysis in 3D. Based on the geometrical considerations of the probability for measurement of the true length of rod-like and elongated inclusions on a cross section, it was found that this probability for inclusions decreases dramatically with an increasing real aspect ratio value of them. Particularly for the determination of the true length for elongated inclusions in the rolled steel sample by 2D investigations on a metal cross section, it is required to be cut investigating section of steel sample within ± 1 degree against rolling direction. Therefore, a 3D observation is considered to be more preferable and accurate than the conventional cross sectional observation in 2D, due to the possibility for the measurements of the real size of them.
机译:极值的统计用于测定低碳钢样品中具有不同形态的最大硫化物夹杂物,方法是使用抛光截面的二维(2D)观测值和表面的三维(3D)观测值样品电解提取后的薄膜过滤器。发现可以从两个样品中成功提取钢水样品中的球状,棒状和树枝状硫化物,以及轧制钢样品中的长形硫化物,并使用3D极值分析进行精确分析。基于对横截面中棒状和细长夹杂物的真实长度进行测量的概率的几何考虑,发现随着实际长径比值的增加,这种夹杂物的概率将大大降低。尤其是,对于通过在金属横截面上进行2D研究确定轧制钢样品中拉长夹杂物的真实长度,需要在相对于轧制方向的±1度范围内将钢样的调查截面切开。因此,由于可以测量3D观测的真实大小,因此3D观测比常规的2D横截面观测更可取,更准确。

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