Research on purification of tailings solutions from metal impurities at lead dust processing enterprises

Purpose. The research aims to develop a technology for tailings solution purification using membrane nanofiltration to reduce waste volume and enterprise costs by reusing the purified water. Methods. The research uses polyamide nanofiltration membranes on a semi-industrial plant. The nanofiltration...

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Published inMining of Mineral Deposits Vol. 18; no. 3; pp. 126 - 134
Main Authors Altaibayev, Bagdat, Tussupbayev, Nessipbay, Kenzhetaev, Zhiger, Baigenzhenov, Omirserik, Khabiyev, Alibek, Tyulyubayev, Zekail, Leksin, Alexey
Format Journal Article
LanguageEnglish
Published 01.01.2024
Online AccessGet full text
ISSN2415-3435
2415-3443
DOI10.33271/mining18.03.126

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Abstract Purpose. The research aims to develop a technology for tailings solution purification using membrane nanofiltration to reduce waste volume and enterprise costs by reusing the purified water. Methods. The research uses polyamide nanofiltration membranes on a semi-industrial plant. The nanofiltration process is conducted at a pressure of 3.5 MPa with 30% permeate yield. The chemical composition of the solutions is analyzed using atomic-absorption and chemical methods. Findings. Removal of 69% arsenic, 68.5% zinc and 95.7% iron has been achieved under optimal conditions. The purified solution with a residual sulphuric acid concentration of ~3.5 g/l can be used again for leaching lead dust. The concentrated metal solution allows for additional zinc extraction. The use of technology reduces waste volumes by more than 30% and reduces the enterprise’s recycling costs. Originality. The research proposes a new environmentally friendly nanofiltration technology for tailings solution purification that can effectively remove heavy metals and extract valuable components. This approach uniquely integrates membrane nanofiltration at an optimized pressure of 3.5 MPa, achieving high removal rates of heavy metal ions such as As³⁺, AsO4³⁻, Zn²⁺, Fe²⁺, and Fe³⁺, while reducing waste by 30% and enabling the reuse of sulfuric acid and water in the leaching process, leading to significant cost and resource savings. Practical implications. Implementation of the proposed technology at lead dust processing enterprises reduces the costs of wastewater treatment, reduces the waste volume and allows for the reuse of water and acids in the production process.
AbstractList Purpose. The research aims to develop a technology for tailings solution purification using membrane nanofiltration to reduce waste volume and enterprise costs by reusing the purified water. Methods. The research uses polyamide nanofiltration membranes on a semi-industrial plant. The nanofiltration process is conducted at a pressure of 3.5 MPa with 30% permeate yield. The chemical composition of the solutions is analyzed using atomic-absorption and chemical methods. Findings. Removal of 69% arsenic, 68.5% zinc and 95.7% iron has been achieved under optimal conditions. The purified solution with a residual sulphuric acid concentration of ~3.5 g/l can be used again for leaching lead dust. The concentrated metal solution allows for additional zinc extraction. The use of technology reduces waste volumes by more than 30% and reduces the enterprise’s recycling costs. Originality. The research proposes a new environmentally friendly nanofiltration technology for tailings solution purification that can effectively remove heavy metals and extract valuable components. This approach uniquely integrates membrane nanofiltration at an optimized pressure of 3.5 MPa, achieving high removal rates of heavy metal ions such as As³⁺, AsO4³⁻, Zn²⁺, Fe²⁺, and Fe³⁺, while reducing waste by 30% and enabling the reuse of sulfuric acid and water in the leaching process, leading to significant cost and resource savings. Practical implications. Implementation of the proposed technology at lead dust processing enterprises reduces the costs of wastewater treatment, reduces the waste volume and allows for the reuse of water and acids in the production process.
Author Tussupbayev, Nessipbay
Baigenzhenov, Omirserik
Altaibayev, Bagdat
Leksin, Alexey
Khabiyev, Alibek
Tyulyubayev, Zekail
Kenzhetaev, Zhiger
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