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Application of Mathematical Modeling on Copper Recovery Optimization of Oxide Ores

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Abstract

In this study, a mathematical modeling method was used to predict the optimum conditions of column leaching of copper oxide ore. Important parameters such as column height (m), particle sizes (m), acid rate (kg/ton) and leaching time (day) were studied and their impacts on copper recovery were investigated. Experiments were performed on samples with particle size distributions of −25.4 mm and −50.8 mm in six columns with the heights of 2 m, 4 m and 6 m. The results showed that the copper recovery has an inverse relation with column height and particle sizes, and direct relation with leaching time and acid rate. According to the results, the mathematical models based on the macro model predict the copper recovery based on operation conditions. The obtained values of determination coefficient (0.97), root mean square error (2.86) and relative error (0.089) testing datasets, showed the capability of the model in predicting the copper recovery.

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Authors and Affiliations

  1. Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Islamic Republic of Iran

    Fatemeh Sadat Hoseinian & Bahram Rezai

  2. Department of Mining Engineering, University of Kashan, Kashan, Islamic Republic of Iran

    Moein Bahadori & Saeed Soltani-Mohammadi

  3. Department of Materials Engineering, University of British Columbia, Vancouver, BC, Canada

    Mohsen Hashemzadeh

Authors
  1. Fatemeh Sadat Hoseinian
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  2. Moein Bahadori
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  3. Mohsen Hashemzadeh
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  4. Bahram Rezai
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  5. Saeed Soltani-Mohammadi
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Correspondence to Fatemeh Sadat Hoseinian.

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Hoseinian, F.S., Bahadori, M., Hashemzadeh, M. et al. Application of Mathematical Modeling on Copper Recovery Optimization of Oxide Ores. JOM 69, 1939–1944 (2017). https://doi.org/10.1007/s11837-017-2476-6

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  • DOI: https://doi.org/10.1007/s11837-017-2476-6

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