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Optimization of Flocculation Settlement Parameters of Fine Iron Tailings Slurry by Response Surface Methodology
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Fusheng NIU1, Jiahui WU1, Xiaodong YU1, Xiao SHI2, Yaqiang ZHANG2, Jianbo GUO3, Baohong ZHANG3
Mining and Metallurgical Engineering | 2023, 43(3) : 47 - 51
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Mining and Metallurgical Engineering | 2023, 43(3): 47-51
• MINERAL PROCESSING •
Optimization of Flocculation Settlement Parameters of Fine Iron Tailings Slurry by Response Surface Methodology
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Fusheng NIU1, Jiahui WU1, Xiaodong YU1, Xiao SHI2, Yaqiang ZHANG2, Jianbo GUO3, Baohong ZHANG3
Affiliations
  • 1.College of Mining Engineering, North China University of Science and Technology, Tangshan 063200, Hebei, China
  • 2.Tangshan 3R Chemical Co Ltd, Tangshan 063000, Hebei, China
  • 3.Qianxi County Zhongxing Mining Co Ltd, Tangshan 064300, Hebei, China
Published: 2023-06-01 doi: 10.3969/j.issn.0253-6099.2023.03.011
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Response surface methodology (RSM) was used to optimize the flocculation settlement parameters of fine iron tailings slurry. According to the Box-Behnken test method in Design-Expert 8.0 software, a three-factor and three-level test was designed to obtain a regression equation of turbidity model for flocculation settlement of fine-grained iron tailings slurry. The results show that with the following favorable flocculation settlement parameters, including addition of inorganic flocculant FeCl3 at an amount of 113.44 mg/L, organic flocculant PAM at an amount of 0.61 mg/L and stirring speed of 440.57 r/min, the slurry turbidity is predicted to be 11.45NTU, while the measured value is 12.38NTU, indicating that the model has a good accuracy with a small error. Based on the model variance analysis, reliability analysis and factor interaction analysis, it can be verified that RSM is reasonable and feasible to be used for optimizing the flocculation settlement parameters of fine iron tailings slurry, which can provide theoretical basis for its efficient treatment.

response surface methodology (RSM)  /  flocculation settlement  /  fine-grained iron tailings pulp  /  turbidity
Fusheng NIU, Jiahui WU, Xiaodong YU, Xiao SHI, Yaqiang ZHANG, Jianbo GUO, Baohong ZHANG. Optimization of Flocculation Settlement Parameters of Fine Iron Tailings Slurry by Response Surface Methodology[J]. Mining and Metallurgical Engineering, 2023 , 43 (3) : 47 -51 . DOI: 10.3969/j.issn.0253-6099.2023.03.011
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Year 2023 volume 43 Issue 3
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Article Info
doi: 10.3969/j.issn.0253-6099.2023.03.011
  • Receive Date：2022-12-15
  • Online Date：2026-03-05
  • Published：2023-06-01
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  • Received：2022-12-15
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Affiliations
    1.College of Mining Engineering, North China University of Science and Technology, Tangshan 063200, Hebei, China
    2.Tangshan 3R Chemical Co Ltd, Tangshan 063000, Hebei, China
    3.Qianxi County Zhongxing Mining Co Ltd, Tangshan 064300, Hebei, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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