Enhanced characterization of non-metallic inclusions in ultra-high-strength steels using advanced synchrotron-based X-ray absorption spectroscopy and chemometric analysis

材料科学 同步加速器 表征(材料科学) 光谱学 X射线吸收光谱法 同步辐射 分析化学(期刊) 吸收(声学) 金属 吸收光谱法 X射线 X射线光谱学 冶金 光学 纳米技术 复合材料 环境化学 化学 物理 量子力学
作者
Mourad Kharbach,Mohammed Alaoui Mansouri,Ekta Rani,Harishchandra Singh,Tuomas Alatarvas,Brice Sarpi,Lin Zhu,Yuran Niu,Alexei Zakharov,Ilkka Launonen,Marko Huttula,Mikko J. Sillanpää,Samuli Urpelainen
出处
期刊:Journal of materials research and technology [Elsevier BV]
卷期号:35: 3322-3332
标识
DOI:10.1016/j.jmrt.2025.02.024
摘要

This study leverages synchrotron radiation-based X-ray absorption photoemission electron microscopy (X-PEEM) to investigate non-metallic inclusions (NMIs) in ultra-high-strength steels. By acquiring Ca-L2,3-edge X-ray absorption spectra from six NMIs at both room temperature and 400 °C, we analyze their structural changes, chemical compositions, and phase transformations. To extract meaningful insights from complex X-PEEM images, advanced chemometric data analysis is employed.Multivariate Curve Resolution (MCR-ALS) is utilized to provide an unbiased analysis, revealing pure spectra and concentration profiles of NMIs before and after annealing. This approach maintains the integrity of the results while uncovering NMI behaviors, including the identification of new calcium phases. The challenge of assigning calcium phase identities to the spectra extracted by MCR-ALS is addressed using a comprehensive reference database and the Hit Quality Index (HQI), which effectively matches most NMIs before annealing to the calcium phosphate phase. Principal Component Analysis (PCA) and Hierarchical Clustering Analysis (HCA) further elucidate the relationships between calcium phases and NMIs during annealing. For classifying NMIs based on annealing history and calcium phase changes, Partial Least Squares Discriminant Analysis (PLS-DA) and Soft Independent Modeling of Class Analogy (SIMCA) are applied, with PLS-DA demonstrating superior classification accuracy. By analyzing complex X-PEEM data, we uncover valuable information about NMIs' responses to annealing processes and their classification based on calcium phase changes.
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