Gyakwaa, F., Aula, M., Vuolio, T., Alatarvas, T., Shu, Q., Huttula, M., & Fabritius, T. (2020). Characterization of Multiphase Mixtures of Calcium Aluminates and Magnesium Aluminate Spinel Using Time‐Gated Raman Spectroscopy. Steel Research International, 91(8), 2000084. https://doi.org/10.1002/srin.202000084
Characterization of multiphase mixtures of calcium aluminates and magnesium aluminate spinel using time-gated Raman spectroscopy
|Author:||Gyakwaa, Francis1; Aula, Matti1; Vuolio, Tero1;|
1Process Metallurgy Research Unit, University of Oulu
2Nano and Molecular Systems Research Unit, University of Oulu
|Online Access:||PDF Full Text (PDF, 2.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020090367371
John Wiley & Sons,
|Publish Date:|| 2020-09-03
In aluminum‐killed calcium‐treated steels, the characterization of multiphase oxides found in the CaO–MgO–Al2O3 system is essential for the study of inclusion formation, modification, and the control process. Herein, Raman spectroscopy is used as a characterization technique for the multiphase mixtures of MgO·Al₂O₃ spinel and calcium aluminate phases of C12A7, C3A, and CA. Multiphase samples of C12A7–CA–MA and C12A7–C3A–MA are synthesized from MgO·Al₂O₃ spinel and calcium aluminates with varying phase content. The relative intensity of the Raman peaks is qualitatively used for the most primary phases present in the sample. Regression models are also identified for predicting the phase composition. Prediction model identification is conducted using the successive projection algorithm (SPA) for feature selection and the partial least squares regression (PLS) model as a regressor. The identified prediction models show a reasonably good prediction performance. Herein, the time‐gated Raman spectroscopy technique to characterize the multiphase mixture of magnesium aluminate spinel and calcium aluminate phases of CA, C12A7, C3A is used, and the potential application for inclusion characterization is demonstrated.
Steel research international
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
216 Materials engineering
215 Chemical engineering
The authors acknowledge the support of I4Future doctoral programme funded by European Union's H2020 under the Marie Skłodowska‐Curie grant agreement no. 713606 and Academy of Finland Profilation project (Academy of Finland, no. 311934).
|EU Grant Number:||
(713606) I4FUTURE - Novel Imaging and Characterisation Methods in Bio, Medical, and Environmental Research and Technology Innovations
© 2020 The Authors. Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.