journal article·2025-03Open access

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

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. Sillanpaa, Samuli Urpelainen

Abstract

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-L 2,3 -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.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Microstructure and Mechanical Properties of Steels · Metal and Thin Film Mechanics · Non-Destructive Testing Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (44)

Show source-provided references
1. Comparison of nonmetallic inclusion characteristics in metal samples using 2D and 3D methods10.1002/srin.201900669 ↗
2. Evaluation of maximum non-metallic inclusion sizes in engineering steels by fitting a generalized extreme value distribution based on vectors of largest observations10.1016/j.actamat.2015.05.013 ↗
3. Structure–property linkages using a data science approach: application to a non-metallic inclusion/steel composite system10.1016/j.actamat.2015.02.045 ↗
4. Carbonitride dissolution and austenite grain growth in a high Cr ferritic heat-resistant steel10.2355/isijinternational.54.1705 ↗
5. Formation mechanism of inclusion defects in large forged pieces10.1016/S1006-706X(16)30084-X ↗
6. Effect of non-metallic inclusions (NMI) on crack formation in forged steel10.1016/j.matpr.2020.08.016 ↗
7. Uncovering temperature-tempted coordination of inclusions within ultra-high-strength-steel via in-situ spectro-microscopy10.1016/j.jmrt.2022.01.170 ↗
8. Unveiling nano-scaled chemical inhomogeneity impacts on corrosion of Ce-modified 2507 super-duplex stainless steels10.1038/s41529-022-00263-z ↗
9. Metallic contact between MoS2 and Ni via Au nanoglue
10. Quantification of bonded Ni atoms for Ni-MoS2 metallic contact through X-ray photoemission electron microscopy10.1017/S1431927618014526 ↗
11. X-ray absorption spectroscopy of silicates for in situ, sub-micrometer mineral identification10.2138/am-2003-5-605 ↗
12. Principal component analysis: reveal camouflaged information in x-ray absorption spectroscopy photoemission electron microscopy of complex thin oxide films10.1016/j.tsf.2018.09.010 ↗
13. Twelve different types of data normalization for the proposition of classification, univariate and multivariate regression models for the direct analyses of alloys by laser-induced breakdown spectroscopy (LIBS)10.1039/C6JA00224B ↗
14. MAXPEEM: a spectromicroscopy beamline at MAX IV laboratory10.1107/S160057752300019X ↗
15. 2p x-ray absorption spectroscopy of 3d transition metal systems10.1016/j.elspec.2021.147061 ↗
16. Application of multivariate curve resolution alternating least squares (MCR-ALS) to the quantitative analysis of pharmaceutical and agricultural samples10.1016/j.talanta.2007.08.024 ↗
17. Application of multivariate curve resolution alternating least squares (MCR-ALS) to remote sensing hyperspectral imaging10.1016/j.aca.2012.11.043 ↗
18. MCR-ALS GUI 2.0: new features and applications10.1016/j.chemolab.2014.10.003 ↗
19. Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: a critical perspective10.1016/j.tifs.2017.12.006 ↗
20. PCA-based feature reduction for hyperspectral remote sensing image classification10.1080/02564602.2020.1740615 ↗
21. Exploring uncommon Fe-oxides in non-metallic inclusions in ultra-high-strength steel
22. A comparative analysis of k-means and hierarchical clustering
23. Comparison of hierarchical and non-hierarchical clustering algorithms
24. Partial least squares regression and projection on latent structure regression (PLS Regression)10.1002/wics.51 ↗
25. Partial least square regression (PLS regression)
26. Application of PLS‐DA in multivariate image analysis10.1002/cem.994 ↗
27. Concept and role of extreme objects in PCA/SIMCA10.1002/cem.2506 ↗
28. Popular decision rules in SIMCA: critical review10.1002/cem.3250 ↗
29. Trials and tribulations of ‘omics data analysis: assessing quality of SIMCA-based multivariate models using examples from pulmonary medicine10.1039/C3MB70194H ↗
30. Hyperspectral image analysis. A tutorial10.1016/j.aca.2015.09.030 ↗
31. Ca L2,3-edge near edge X-ray absorption fine structure of tricalcium aluminate
32. Calcium L2,3-edge XANES of carbonates, carbonate apatite, and oldhamite
33. L 2, 3 x-ray-absorption edges of d 0 compounds: K+, Ca 2+, Sc 3+, and Ti 4+ in O h (octahedral) symmetry10.1103/PhysRevB.41.928 ↗
34. Fine structure of the Ca 2p x-ray-absorption edge for bulk compounds, surfaces, and interfaces10.1103/PhysRevB.43.6899 ↗
35. Advanced Chemometric analysis of photoemission Electron microscopy imaging for detecting non-metallic inclusions in steel materials10.1016/j.matchar.2024.114114 ↗
36. First principles multiplet calculations of the calcium L2, 3 x-ray absorption spectra of CaO and CaF210.1088/0953-8984/23/14/145501 ↗
37. Vibrational spectroscopy of complex synthetic and industrial products
38. A scanning transmission X-ray microscopy study of cubic and orthorhombic C3A and their hydration products in the presence of gypsum10.3390/ma9090745 ↗
39. X‐Ray absorption near‐edge structure (XANES) of calcium L3,2 edges of various calcium compounds and X‐ray excited optical luminescence (XEOL) studies of luminescent calcium compounds10.1063/1.2644585 ↗
40. Transient amorphous calcium phosphate in forming enamel10.1016/j.jsb.2009.02.001 ↗
41. Comparison of several chemometric methods of libraries and classifiers for the analysis of expired drugs based on Raman spectra10.1016/j.jpba.2014.01.027 ↗
42. Unveiling the mechanism of charge compensation in Li2RuxMn1−xO3 by tracking atomic structural evolution10.1016/j.jechem.2022.08.025 ↗
43. Multivariate curve resolution analysis applied to time-resolved synchrotron X-ray Absorption Spectroscopy monitoring of the activation of copper alumina catalyst10.1016/j.cattod.2013.10.077 ↗
44. Principal component analysis: reveal camouflaged information in x-ray absorption spectroscopy photoemission electron microscopy of complex thin oxide films10.1016/j.tsf.2018.09.010 ↗