A current efficiency prediction model based on electrode kinetics for iron and copper during copper electrowinning

Zongliang Zhang; Joshua Werner; Michael Free

doi:10.1007/978-3-319-72131-6_10

A current efficiency prediction model based on electrode kinetics for iron and copper during copper electrowinning

Zongliang Zhang, Joshua Werner, Michael Free

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Copper electrowinning is an important recovery method in the copper industry, which accounts for a growing proportion of the world copper production. In copper electrowinning, not all the current is used for the deposition of Cu, in large part because of the existence of dissolved iron in the electrolyte. The reduction of ferric ions is often the main factor that causes the current efficiency to decrease. The current efficiency is influenced by parameters such as electrolyte temperature, current density, iron concentration, copper concentration, etc. To obtain optimal operating conditions, thus minimizing energy consumption, a copper electrowinning current efficiency model was established using empirical formulas and electrode kinetics. Electrochemistry, gas-liquid flow, transport phenomena and comparisons to experimental data are considered to enhance the accuracy of the model. The model can predict the current efficiency under a variety of conditions to provide valuable guidance for the optimization of process parameters.

Original language	English
Title of host publication	Materials Processing Fundamentals 2018
Editors	Antoine Allanore, Guillaume Lambotte, Jonghyun Lee, Samuel Wagstaff
Pages	111-131
Number of pages	21
DOIs	https://doi.org/10.1007/978-3-319-72131-6_10
State	Published - 2018
Event	International Symposium on Materials Processing Fundamentals, 2018 - Phoenix, United States Duration: Mar 11 2018 → Mar 15 2018

Publication series

Name	Minerals, Metals and Materials Series
Volume	Part F2
ISSN (Print)	2367-1181
ISSN (Electronic)	2367-1696

Conference

Conference	International Symposium on Materials Processing Fundamentals, 2018
Country/Territory	United States
City	Phoenix
Period	3/11/18 → 3/15/18

Bibliographical note

Publisher Copyright:
© The Minerals, Metals & Materials Society 2018.

Keywords

Cu electrowinning
Current efficiency
Fe kinetics
Modeling

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Energy Engineering and Power Technology
Mechanics of Materials
Metals and Alloys
Materials Chemistry

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-72131-6_10

Cite this

Zhang, Z., Werner, J., & Free, M. (2018). A current efficiency prediction model based on electrode kinetics for iron and copper during copper electrowinning. In A. Allanore, G. Lambotte, J. Lee, & S. Wagstaff (Eds.), Materials Processing Fundamentals 2018 (pp. 111-131). (Minerals, Metals and Materials Series; Vol. Part F2). https://doi.org/10.1007/978-3-319-72131-6_10

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title = "A current efficiency prediction model based on electrode kinetics for iron and copper during copper electrowinning",

abstract = "Copper electrowinning is an important recovery method in the copper industry, which accounts for a growing proportion of the world copper production. In copper electrowinning, not all the current is used for the deposition of Cu, in large part because of the existence of dissolved iron in the electrolyte. The reduction of ferric ions is often the main factor that causes the current efficiency to decrease. The current efficiency is influenced by parameters such as electrolyte temperature, current density, iron concentration, copper concentration, etc. To obtain optimal operating conditions, thus minimizing energy consumption, a copper electrowinning current efficiency model was established using empirical formulas and electrode kinetics. Electrochemistry, gas-liquid flow, transport phenomena and comparisons to experimental data are considered to enhance the accuracy of the model. The model can predict the current efficiency under a variety of conditions to provide valuable guidance for the optimization of process parameters.",

keywords = "Cu electrowinning, Current efficiency, Fe kinetics, Modeling",

author = "Zongliang Zhang and Joshua Werner and Michael Free",

note = "Publisher Copyright: {\textcopyright} The Minerals, Metals & Materials Society 2018.; International Symposium on Materials Processing Fundamentals, 2018 ; Conference date: 11-03-2018 Through 15-03-2018",

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Zhang, Z, Werner, J & Free, M 2018, A current efficiency prediction model based on electrode kinetics for iron and copper during copper electrowinning. in A Allanore, G Lambotte, J Lee & S Wagstaff (eds), Materials Processing Fundamentals 2018. Minerals, Metals and Materials Series, vol. Part F2, pp. 111-131, International Symposium on Materials Processing Fundamentals, 2018, Phoenix, United States, 3/11/18. https://doi.org/10.1007/978-3-319-72131-6_10

A current efficiency prediction model based on electrode kinetics for iron and copper during copper electrowinning. / Zhang, Zongliang; Werner, Joshua; Free, Michael.
Materials Processing Fundamentals 2018. ed. / Antoine Allanore; Guillaume Lambotte; Jonghyun Lee; Samuel Wagstaff. 2018. p. 111-131 (Minerals, Metals and Materials Series; Vol. Part F2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A current efficiency prediction model based on electrode kinetics for iron and copper during copper electrowinning

AU - Zhang, Zongliang

AU - Werner, Joshua

AU - Free, Michael

N1 - Publisher Copyright: © The Minerals, Metals & Materials Society 2018.

PY - 2018

Y1 - 2018

N2 - Copper electrowinning is an important recovery method in the copper industry, which accounts for a growing proportion of the world copper production. In copper electrowinning, not all the current is used for the deposition of Cu, in large part because of the existence of dissolved iron in the electrolyte. The reduction of ferric ions is often the main factor that causes the current efficiency to decrease. The current efficiency is influenced by parameters such as electrolyte temperature, current density, iron concentration, copper concentration, etc. To obtain optimal operating conditions, thus minimizing energy consumption, a copper electrowinning current efficiency model was established using empirical formulas and electrode kinetics. Electrochemistry, gas-liquid flow, transport phenomena and comparisons to experimental data are considered to enhance the accuracy of the model. The model can predict the current efficiency under a variety of conditions to provide valuable guidance for the optimization of process parameters.

AB - Copper electrowinning is an important recovery method in the copper industry, which accounts for a growing proportion of the world copper production. In copper electrowinning, not all the current is used for the deposition of Cu, in large part because of the existence of dissolved iron in the electrolyte. The reduction of ferric ions is often the main factor that causes the current efficiency to decrease. The current efficiency is influenced by parameters such as electrolyte temperature, current density, iron concentration, copper concentration, etc. To obtain optimal operating conditions, thus minimizing energy consumption, a copper electrowinning current efficiency model was established using empirical formulas and electrode kinetics. Electrochemistry, gas-liquid flow, transport phenomena and comparisons to experimental data are considered to enhance the accuracy of the model. The model can predict the current efficiency under a variety of conditions to provide valuable guidance for the optimization of process parameters.

KW - Cu electrowinning

KW - Current efficiency

KW - Fe kinetics

KW - Modeling

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ER -

A current efficiency prediction model based on electrode kinetics for iron and copper during copper electrowinning

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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