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METHOD FOR QUANTIFICATION ANALYSIS OF IRON OXIDES ON STEEL SURFACE USING GLOW DISCHARGE OPTICAL EMISSION SPECTROMETRY WITH MULTIVARIATE ANALYSIS

机译:辉光放电光发射光谱法对钢表面氧化铁进行定量分析的方法

摘要

The first step of obtaining two or more steel samples, the quantitative analysis of the surface iron oxide of each steel sample to obtain a learning label; A second step of obtaining the learning data by measuring the concentration profile of Fe element in the depth direction from the surface of the base material including the surface oxide layer for each of the steel samples; A third step of establishing a predictive model formula showing a correlation between the surface iron oxide content of the steel sample and the Fe element concentration profile using multivariate analysis based on the learning label and the learning data; And a fourth step of measuring the Fe element concentration profile in the depth direction from the surface of the steel to be measured and substituting the measured Fe element concentration profile into the prediction model formula to calculate the predicted value of the surface iron oxide amount. It provides a method for quantitative analysis of iron oxide on the surface of steel.
机译:第一步,获取两个或两个以上的钢样,对每个钢样的表面氧化铁进行定量分析,以获得学习标记;第二步骤是通过从各钢样品的包括表面氧化物层的基材表面测量Fe元素在深度方向上的浓度分布来获得学习数据。第三步,基于学习标记和学习数据,通过多变量分析建立预测模型公式,以显示钢样品表面氧化铁含量与Fe元素浓度分布之间的相关性;第四步骤是从被测钢的表面沿深度方向测量Fe元素浓度分布,并将测得的Fe元素浓度分布代入预测模型公式,以计算表面氧化铁量的预测值。它提供了一种定量分析钢表面上的氧化铁的方法。

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