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Simultaneous characterization of elemental segregation and cementite networks in high carbon steel products by spatially-resolved laser-induced breakdown spectroscopy

机译:空间分辨激光诱导击穿光谱法同时表征高碳钢产品中的元素偏析和渗碳体网络

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The reliable characterization of the level of elemental segregation and of the extent of grain-boundary cementite networks in high carbon steel products is a prerequisite for checking product quality, for the purpose of product release to customers, and to investigate the presence of defects that may have led to mechanical property failure of the product. Current methods for the characterization of segregation and cementite networks rely on two different methods of sample etching followed by visual observation, where quality scores are given based on human perception and judgment. With the continuous demand on increasing quality, some of the conventional characterization methods and their associated scoring boards have lost relevance for the precision of characterization that is required today to distinguish between a product that will perform well and one that will not In order to move away from a qualitative, human perception based situation for the scoring of the severity of segregation and cementite networks, a new method of data evaluation based on spatially-resolved LIBS measurements was developed to provide quantitative and simultaneous characterization of both types of defects. The quantitative assessment of segregation and cementite networks is based on the acquisition of carbon concentration maps. The ability to produce rapid scanning measurements of micro and macro-scale features with adequate spatial resolution makes LIBS the measurement method of preference for this purpose. The characterization of both different defects is extracted simultaneously and from the same carbon concentration map following a series of statistical treatment and data extraction rules. LIBS results were validated against recognized methods and were applied to a significant number of routine samples. The new LIBS method offers a step change improvement in reliability for the characterization of segregation and cementite networks in steel products over the conventional methods, replacing two qualitative, subjective and staff intensive methods by an enhanced material characterization method based on automated quantification that can flag up quality issues, simultaneously for both defect types, and on a routine basis.
机译:高碳钢产品中元素偏析水平和晶界渗碳体网络范围的可靠表征是检查产品质量,向客户发布产品以及调查可能存在的缺陷的先决条件。导致产品的机械性能下降。当前表征偏析和渗碳体网络的方法依赖于两种不同的样品蚀刻方法,然后进行肉眼观察,其中基于人类的感知和判断给出质量分数。随着对质量不断提高的需求,一些常规的表征方法及其相关的计分板与今天的表征精度失去了联系,后者要求区分一种性能良好的产品和一种性能不佳的产品,以便将其移开从定性,基于人类感知的偏析和渗碳体网络严重性评分情况出发,开发了一种基于空间分辨的LIBS测量数据评估的新方法,可以对两种类型的缺陷进行定量和同时表征。偏析和渗碳体网络的定量评估基于碳浓度图的获取。能够以足够的空间分辨率对微观和宏观尺度的特征进行快速扫描测量的能力使LIBS成为此目的的首选测量方法。遵循一系列统计处理和数据提取规则,同时从同一碳浓度图中同时提取两种不同缺陷的特征。 LIBS结果已根据公认的方法进行了验证,并应用于大量常规样品。新的LIBS方法与常规方法相比,在表征钢铁产品中偏析和渗碳体网络时,提供了可靠性方面的阶梯式改进,并通过基于自动定量的增强型材料表征方法替代了两种定性,主观和人员密集型方法,从而提高了可靠性。质量问题,同时针对两种缺陷类型并按常规进行。

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