Effects of electrochemical potential on sulfur removal in the molten CaO-SiO2-Al2O3 system

Sang Hoon Lee, Dong Joon Min

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The effect of electrical potential on refining capacity was studied to overcome the limit of sulfur removal by slag treatment. Cyclic voltammetry analysis indicated that electrochemical desulfurization enhances the refining capacity by applying an electric potential between liquid Cu and a CaO-SiO2-Al2O3 slag system at 1773 K. The correlation between the external potential and the sulfur partition ratio showed that the external potential enhanced the latter. Experimental results suggested that it is difficult to quantitatively evaluate the effect of the electrical desulfurization by means of the ideal correlation between the electrical potential and the sulfur partition ratio based on the Nernst equation because of the IR drop. Further, the IR drop alone was not sufficient to account for the correlation between the electrical potential and the sulfur partition ratio. Therefore, the relationship between the structural properties of slag and the effect of electrical desulfurization based on the electrochemical mechanism of sulfur refining is discussed in detail.

Original languageEnglish
Article number116231
JournalSeparation and Purification Technology
Volume236
DOIs
Publication statusPublished - 2020 Apr 1

Bibliographical note

Funding Information:
This work was supported by the Korea Evaluation Institute of Industrial Technology project no. 10076604 . This work was supported by the Brain Korea 21 (BK 21) Project . We gratefully appreciate the additional financial support from the Division of Humantronics Information Materials at Yonsei University of Seoul, Korea. Appendix A

Funding Information:
This work was supported by the Korea Evaluation Institute of Industrial Technology project no. 10076604. This work was supported by the Brain Korea 21 (BK 21) Project. We gratefully appreciate the additional financial support from the Division of Humantronics Information Materials at Yonsei University of Seoul, Korea.

Publisher Copyright:
© 2019 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Filtration and Separation

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