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Analysis of ilmenite slag using laser-induced breakdown spectroscopy

  • Avishek Kumar Gupta*
  • , Matti Aula
  • , Erwan Negre
  • , Jan Viljanen
  • , Henri Pauna
  • , Pasi Mäkelä
  • , Juha Toivonen
  • , Marko Huttula
  • , Timo Fabritius
  • *Tämän työn vastaava kirjoittaja

Tutkimustuotos: ArtikkeliTieteellinenvertaisarvioitu

5 Sitaatiot (Scopus)
17 Lataukset (Pure)

Abstrakti

The feasibility of using laser-induced breakdown spectroscopy (LIBS) for the compositional analysis of ilmenite slag was explored. The slag was obtained from a pilot-scale ilmenite smelting furnace. The composition of major oxides TiO2, FeO, and MgO are determined by the calibrated LIBS method. LIBS measurements are done under normal atmosphere and temperature. A Q-switched Nd:YAG laser operating at 355 nm was used to create a plasma on an ilmenite slag sample. The characteristic lines based on the NIST database of Fe, Mg, and Ti can be identified on the normalized LIBS spectra for the slag samples. The spectral range chosen for the study is 370 to 390 nm. Calibration curves were plotted using the data collected from various industrial ilmenite samples of varying compositions of TiO2, FeO, and MgO. The univariate simple linear regression technique was used to do the analysis and the prediction accuracy was checked by the root mean square error (RMSE). To validate the application of LIBS, both qualitative and quantitative analysis is done and compared to the analytical ICP-OES results. The model predicts the magnesium content with the highest accuracy and gives good prediction for iron and titanium content. This study demonstrates the capability of using LIBS for the surface analysis of the ilmenite slag sample.

AlkuperäiskieliEnglanti
Artikkeli855
Sivumäärä11
JulkaisuMinerals
Vuosikerta10
Numero10
DOI - pysyväislinkit
TilaJulkaistu - lokak. 2020
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

Funding: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 713606 under the I4Future doctoral programme—Imaging for the Future: Novel Imaging and Characterization Methods in Bio, Medical, and Environmental Research and Technology Innovations. Acknowledgments: The authors acknowledge the support of the Academy of Finland projects (Academy of Finland, No. 311934 and No. 326291), Academy of Finland Flagship Program (Photonics Research and Innovation (PREIN), decision 320165) and Outotec for their participation in the project.

Julkaisufoorumi-taso

  • Jufo-taso 1

!!ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geology

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