Influence of Slag Composition on the Distribution Behavior of Cu between Liquid Sulfide and Cu-Containing Multicomponent Slag via Thermodynamic and Kinetic Assessment

At present, copper smelting slag is not effectively recycled and is wasted. Copper smelting slag contains Fe<sub>x</sub>O at more than 40 mass%. For the utilization of copper slag as a Fe resource, it is necessary to separate the Cu in the slag. For copper recycling from slag, FeS-based...

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Bibliographic Details
Main Authors: Seung-Hwan Shin, Sun-Joong Kim
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Metals
Subjects:
Online Access:https://www.mdpi.com/2075-4701/11/1/150
Description
Summary:At present, copper smelting slag is not effectively recycled and is wasted. Copper smelting slag contains Fe<sub>x</sub>O at more than 40 mass%. For the utilization of copper slag as a Fe resource, it is necessary to separate the Cu in the slag. For copper recycling from slag, FeS-based matte can be introduced to use sulfurization to concentrate Cu from the slag into the sulfide and finally recover the copper. In a previous paper, a kinetic model was developed to simulate the coupled reactions between the multicomponent slag and FeS-based matte by using previously reported thermodynamic data. Building on this work, we carried out equilibrium experiments to supplement the thermodynamic data used in the previously developed model. An empirical formula for the Cu<sub>2</sub>O activity coefficient of Cu<sub>2</sub>O-FeO<sub>X</sub>-CaO-MgO-SiO<sub>2</sub>-Al<sub>2</sub>O<sub>3</sub> system slag was obtained. In addition, the effect of alumina content in the slag on the Cu<sub>2</sub>O activity coefficient in the slag was investigated. The model was also supplemented to account for MgO solubility. By the developed model and the industrial conditions, we investigated the effect of slag composition on the behavior of Cu between matte and Cu<sub>2</sub>O-FeO<sub>X</sub>-CaO-MgO-SiO<sub>2</sub>-Al<sub>2</sub>O<sub>3</sub> system slag for the copper loss.
ISSN:2075-4701