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 proceedingConference contributionpeer-review

3 Scopus citations


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 languageEnglish
Title of host publicationMaterials Processing Fundamentals 2018
EditorsAntoine Allanore, Guillaume Lambotte, Jonghyun Lee, Samuel Wagstaff
Number of pages21
StatePublished - 2018
EventInternational Symposium on Materials Processing Fundamentals, 2018 - Phoenix, United States
Duration: Mar 11 2018Mar 15 2018

Publication series

NameMinerals, Metals and Materials Series
VolumePart F2
ISSN (Print)2367-1181
ISSN (Electronic)2367-1696


ConferenceInternational Symposium on Materials Processing Fundamentals, 2018
Country/TerritoryUnited States

Bibliographical note

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


  • 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


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