Study on intelligent control logic of coal flotation collector dosing model – from the view of slurry conditioning.
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| Title: | Study on intelligent control logic of coal flotation collector dosing model – from the view of slurry conditioning. |
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| Authors: | Lu, Qiancheng1,2 (AUTHOR), Zhang, Yong1,2,3,4 (AUTHOR) zy090255@163.com, Zhu, Hongzheng1,2 (AUTHOR) hzzhu@aust.edu.cn, He, Hailing2 (AUTHOR), Mao, Rongzhong2 (AUTHOR), Chen, Yang2 (AUTHOR), Zhu, Jinbo2 (AUTHOR) |
| Source: | International Journal of Coal Preparation & Utilization. 2026, Vol. 46 Issue 4, p975-992. 18p. |
| Subject Terms: | *Flotation, *Intelligent control systems, *Prediction models, *Mineral processing, *Adsorption (Chemistry), *Flotation reagents, *Slurry, *Surface tension |
| Abstract: | This study explores the impact of slurry conditioning speed (200–1600 r/min) on coal flotation efficiency through surface tension and collector adsorption analyses. Experiments revealed that conditioning speed critically modulates particle–reagent interactions via energy input regulation. Optimal performance occurred at 600 r/min, achieving peak adsorption (271.46%, modeled by θ = 271.46 − 3.20λ, R2 = 0.935) with minimized surface tension (25.1 mN/m) and superior flotation metrics (91.0% yield, 7.81% ash). Higher speeds induced centrifugal desorption, elevating surface tension (≤36.47 mN/m) and degrading efficiency. A Poly5 nonlinear model (R2 = 0.936) effectively correlated surface tension with flotation performance, while normalized surface tension data demonstrated exceptional agreement (R2 = 0.976) with experimental results. Optimization identified 446.5 r/min as the equilibrium point balancing particle collisions and centrifugal dispersion. These findings establish surface tension as a reliable control parameter and propose a data-driven framework for intelligent dosing strategies, advancing automation in coal flotation processes through physics-informed predictive models. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Abstract: | This study explores the impact of slurry conditioning speed (200–1600 r/min) on coal flotation efficiency through surface tension and collector adsorption analyses. Experiments revealed that conditioning speed critically modulates particle–reagent interactions via energy input regulation. Optimal performance occurred at 600 r/min, achieving peak adsorption (271.46%, modeled by θ = 271.46 − 3.20λ, R2 = 0.935) with minimized surface tension (25.1 mN/m) and superior flotation metrics (91.0% yield, 7.81% ash). Higher speeds induced centrifugal desorption, elevating surface tension (≤36.47 mN/m) and degrading efficiency. A Poly5 nonlinear model (R2 = 0.936) effectively correlated surface tension with flotation performance, while normalized surface tension data demonstrated exceptional agreement (R2 = 0.976) with experimental results. Optimization identified 446.5 r/min as the equilibrium point balancing particle collisions and centrifugal dispersion. These findings establish surface tension as a reliable control parameter and propose a data-driven framework for intelligent dosing strategies, advancing automation in coal flotation processes through physics-informed predictive models. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 19392699 |
| DOI: | 10.1080/19392699.2025.2487497 |
