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Optimal Selection of Tailings Thickening Devices Based on the AHP-TOPSIS Evaluation Model
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Can WU1, 2, Ke JIANG1, 2, Lihui LIU3, Jinghuang QIU4, Fengfeng WU5, Liang PENG1, 2, Fan HU3, Yongchao GONG1, 2
Mining Research and Development | 2025, 45(5) : 79 - 85
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Mining Research and Development | 2025, 45(5): 79-85
Optimal Selection of Tailings Thickening Devices Based on the AHP-TOPSIS Evaluation Model
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Can WU1, 2, Ke JIANG1, 2, Lihui LIU3, Jinghuang QIU4, Fengfeng WU5, Liang PENG1, 2, Fan HU3, Yongchao GONG1, 2
Affiliations
  • 1.Changsha Institute of Mining Research Co., Ltd., Changsha, Hunan 410012, China
  • 2.State Key Laboratory of Safety Technology of Metal Mine, Changsha, Hunan 410012, China
  • 3.Sichuan Gold Corporation Limited, Chengdu, Sichuan 610041, China
  • 4.Serbia Zijin Mining Co., Ltd., Bor 19210, Serbia
  • 5.Zijin(Changsha) Engineering Technology Co., Ltd., Changsha, Hunan 410036, China
Published: 2025-05-25
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To address the challenges of selecting suitable tailings thickening devices for domestic mines due to the diversity of available options, a thickening device optimization method based on the AHP-TOPSIS evaluation model was proposed. Based on the actual filling situation of a certain polymetallic mine, 13 evaluation indicators were selected from aspects such as economy, site conditions, and technology. Three thickening device schemes, including vertical sand silo, deep cone thickener, and paste storage thickener, were comprehensively evaluated and optimized through expert scoring. By calculation and analysis, the comprehensive superiority of the three schemes is found to be 49.51%, 17.42% and 80.11%, respectively. Therefore, the paste storage thickener scheme is determined to be the best scheme. The result is consistent with the actual application situation on site in a certain polymetallic mine, which adopts a filling process based on paste storage thickener. The tailings processing capacity of a single paste storage thickener exceeds 100 t/h, and the tailings storage capacity exceeds 1 600 t. The highest bottom flow mass concentration of the thickener reaches 74%, with a good filling effect. This evaluation model can provide a new method for optimal selection of tailings thickening devices.

Tailings thickening device  /  Tailings filling  /  Optimal selection of scheme  /  AHP-TOPSIS evaluation model
吴灿, 江科, 刘立辉, 邱镜煌, 仵锋锋, 彭亮, 胡凡, 龚永超. 基于AHP-TOPSIS评判模型的尾砂浓密装置优选. 矿业研究与开发, 2025 , 45 (5) : 79 -85 .
Can WU, Ke JIANG, Lihui LIU, Jinghuang QIU, Fengfeng WU, Liang PENG, Fan HU, Yongchao GONG. Optimal Selection of Tailings Thickening Devices Based on the AHP-TOPSIS Evaluation Model[J]. Mining Research and Development, 2025 , 45 (5) : 79 -85 .
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Year 2025 volume 45 Issue 5
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Article Info
  • Receive Date：2024-07-22
  • Online Date：2026-10-30
  • Published：2025-05-25
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  • Received：2024-07-22
Funding
Affiliations
    1.Changsha Institute of Mining Research Co., Ltd., Changsha, Hunan 410012, China
    2.State Key Laboratory of Safety Technology of Metal Mine, Changsha, Hunan 410012, China
    3.Sichuan Gold Corporation Limited, Chengdu, Sichuan 610041, China
    4.Serbia Zijin Mining Co., Ltd., Bor 19210, Serbia
    5.Zijin(Changsha) Engineering Technology Co., Ltd., Changsha, Hunan 410036, 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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