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Optimization of Reagent Regimen for Roughing of Bulk Flotation Using Bayesian Optimization
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Yanglong ZHANG, Wen CHEN, Zhenhong LIAO, Ren LIU
Mining and Metallurgical Engineering | 2025, 45(6) : 102 - 107
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Mining and Metallurgical Engineering | 2025, 45(6): 102-107
• MINERAL PROCESSING •
Optimization of Reagent Regimen for Roughing of Bulk Flotation Using Bayesian Optimization
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Yanglong ZHANG, Wen CHEN, Zhenhong LIAO, Ren LIU
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  • Changsha Research Institute of Mining and Metallurgy Co., Ltd., Changsha 410012, Hunan, China
doi: 10.3969/j.issn.0253-6099.2025.06.018
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To address problems of cumbersome procedures, time-consuming and high cost for traditional flotation test of molybdenum-bismuth ores, a Bayesian optimization (BO)-based reagent optimization model and a reagent simulation model with combining functions were established for molybdenum-bismuth ore flotation. The simulation functions of flotation reagent were processed with the BO-based model, and it is shown that in a test with 100 sets of computer simulation, the maximum of the function by BO after 25 iterations was 0.93 on average, compared to the optimum value of 0.86 after 25 trials by conventional single-factor test, presenting a 8.14% rise. This verifies the feasible application of BO applied in reagent optimization for molybdenum-bismuth flotation. The laboratory mineral processing data from a concentrator were taken in a study with BO. A model of ore grade and recovery was established via Gaussian process for model fitting. For obtaining the maximum of objective function by multiple iterations, it required an average of 18 iterations by using BO, while 30 trials on average were required by conventional single-factor test. It is concluded that BO can improve the optimization efficiency by 40%.

Bayesian optimization  /  optimization model  /  Mo-Bi flotation  /  reagent regimen  /  flotation  /  reagent  /  recovery
张洋龙, 陈雯, 廖振鸿, 刘任. 基于贝叶斯优化的混合浮选粗选药剂制度优化. 矿冶工程杂志, 2025 , 45 (6) : 102 -107 . DOI: 10.3969/j.issn.0253-6099.2025.06.018
Yanglong ZHANG, Wen CHEN, Zhenhong LIAO, Ren LIU. Optimization of Reagent Regimen for Roughing of Bulk Flotation Using Bayesian Optimization[J]. Mining and Metallurgical Engineering, 2025 , 45 (6) : 102 -107 . DOI: 10.3969/j.issn.0253-6099.2025.06.018
Year 2025 volume 45 Issue 6
128
27
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doi: 10.3969/j.issn.0253-6099.2025.06.018
  • Receive Date:2025-06-30
  • Online Date:2026-10-08
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  • Received:2025-06-30
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    Changsha Research Institute of Mining and Metallurgy Co., Ltd., Changsha 410012, Hunan, 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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