| Citation: | SHENG Mingqiang，GUAN Ziyi，JIANG Chuanzhi，et al. Indicators and multi-factor interaction analysis of flocculation efficiency for ultra-fine tailings with flocculant addition[J]. Bulletin of Geological Science and Technology，2026，45（6）：1-10 doi: 10.19509/j.cnki.dzkq.tb20250421
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This study aims to enhance flocculation-sedimentation performance by optimizing parameters such as slurry mass concentration, specific flocculant consumption, and agitation rate, thereby solving problems such as slow sedimentation speed and low dewatering efficiency during the filling of geotextile tubes with ultra-fine tailings. The ultimate goal is to improve the mechanical strength and storage stability of dewatered tailings.
Cylinder sedimentation tests were conducted, with "flocculation efficiency" introduced as the core evaluation indicator. Single-factor analysis was employed to investigate the effects of slurry mass concentration, specific flocculant consumption, and agitation rate on flocculation performance. A three-factor, three-level Box-Behnken design (BBD) was utilized for response surface methodology (RSM) experiments. Design-Expert software was applied to establish a quantitative model between flocculation efficiency and various factors to analyze multi-factor interactions and their underlying mechanisms.
Single-factor tests indicated that higher flocculation efficiency was achieved within the following ranges: slurry mass concentration of 4%-8%, specific flocculant consumption of 0.5-1.5 mL, and agitation rate of 300-500 r/min. Analysis of variance of the response surface optimization model showed that the significance of factors affecting flocculation efficiency followed the order: square of agitation rate > square of slurry mass concentration > specific flocculant consumption > interaction between slurry mass concentration and specific flocculant consumption > slurry mass concentration > square of specific flocculant consumption > agitation rate > interaction between specific flocculant consumption and agitation rate > interaction between slurry mass concentration and agitation rate. The optimal parameter combination was identified as slurry mass concentration of 5.45%, specific flocculant consumption of 0.5 mL, and agitation rate of 415 r/min, yielding a predicted flocculation efficiency of 8.086 %/(mg·kg−1). The error between measured and predicted values was less than 5%.
The established flocculation efficiency model can effectively predict the flocculation-sedimentation performance of ultra-fine tailings. The response surface methodology can reveal the mechanisms of multi-factor interactions, and the optimized parameter combination significantly enhances flocculation efficiency. This study provides a theoretical foundation and technical support for the dewatering process of geotextile tubes.
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