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Statistical Modeling of Zr/Hf Extraction using TBP–D2EHPA Mixtures

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Abstract

In the present work, response surface methodology was employed for the study and prediction of Zr/Hf extraction curves in a solvent extraction system using D2EHPA-TBP mixtures. The effect of change in the levels of temperature, nitric acid concentration, and TBP/D2EHPA ratio (T/D) on the Zr/Hf extraction/separation was studied by the use of central composite design. The results showed a statistically significant effect of T/D, nitric acid concentration, and temperature on the extraction percentage of Zr and Hf. In the case of Zr, a statistically significant interaction was found between T/D and nitric acid, whereas for Hf, both interactive terms between temperature and T/D and nitric acid were significant. Additionally, the extraction curves were profitably predicted applying the developed statistical regression equations; this approach is faster and more economical compared with experimentally obtained curves.

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Authors and Affiliations

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

    Vahid Rezaeinejhad Jirandehi (M.Sc. Student), Davoud Haghshenas Fatmehsari (Assistant Professor), Sadegh Firoozi (Assistant Professor) & Eskandar Keshavarz Alamdari (Associate Professor)

  2. NFCRS, Nuclear Science and Technology Research Institute, Tehran, Iran

    Mohammad Taghizadeh (Assistant Professor)

Authors
  1. Vahid Rezaeinejhad Jirandehi
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  2. Davoud Haghshenas Fatmehsari
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  3. Sadegh Firoozi
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  4. Mohammad Taghizadeh
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  5. Eskandar Keshavarz Alamdari
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Corresponding author

Correspondence to Sadegh Firoozi.

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Manuscript submitted March 31, 2012.

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Rezaeinejhad Jirandehi, V., Haghshenas Fatmehsari, D., Firoozi, S. et al. Statistical Modeling of Zr/Hf Extraction using TBP–D2EHPA Mixtures. Metall Mater Trans B 43, 1262–1268 (2012). https://doi.org/10.1007/s11663-012-9729-0

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  • DOI: https://doi.org/10.1007/s11663-012-9729-0

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