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Aixiang Wu, Zhenqi Wang, Zhuen Ruan, and Pengjie Wu, Advances in tailings thickening: A rheology-oriented review of theory and practice, Int. J. Miner. Metall. Mater., (2026). https://doi.org/10.1007/s12613-026-3426-5
Aixiang Wu, Zhenqi Wang, Zhuen Ruan, and Pengjie Wu, Advances in tailings thickening: A rheology-oriented review of theory and practice, Int. J. Miner. Metall. Mater., (2026). https://doi.org/10.1007/s12613-026-3426-5
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尾砂浓密研究进展:面向流变学的理论与实践综述

摘要: 尾砂浓密是矿物加工、膏体充填与尾矿管理系统中的核心技术,直接决定水资源回收效率、浆体输送性能与下游脱水处置过程的稳定性。在尾砂浓密的自由沉降、压缩沉降与高浓度排放全流程中,流变特性的演化主导了颗粒网络形成、屈服应力发展以及流动与输送阻力,且与颗粒级配、矿物组成、表面物化性质及工况条件强耦合,呈现出复杂的分阶段行为。本文以流变学为核心视角,系统分析了浓密机澄清区、自由沉降区、干涉沉降区与压缩区的全流程流变演化规律:随着固相浓度升高,浆体从牛顿流体逐步演变为非牛顿流体与粘塑性流体,流变特性直接影响颗粒絮凝、沉降与脱水过程。本文梳理了屈服应力、黏度与粘弹性模量等核心流变参数在絮凝、沉降与压缩机理中的作用,整合了C–C模型、Kynch理论、B–W模型等宏观模型与微观理论,构建了统一的浓密机理解释框架;同时总结了流变测试、在线监测与数值模拟的技术进展,明确了流变学在絮凝剂投加设计、设备优化与故障诊断中的工程价值。最后指出,未来尾砂浓密技术将依托流变学与多尺度建模、智能监测、人工智能控制的融合,实现全流程实时调控与可持续尾矿管理。

 

Advances in tailings thickening: A rheology-oriented review of theory and practice

Abstract: Tailings thickening is a key unit operation in mineral processing, paste backfilling, and tailings management systems, exerting a direct influence on water recovery efficiency, slurry transport behavior, and the stability of downstream dewatering and disposal processes. Throughout the entire thickening workflow, spanning free settling, compression settling, and high-concentration discharge, the evolution of rheological properties governs the formation of particle networks, the development of yield stress, and the resistance to flow and consolidation. These rheological responses are strongly coupled with particle size distribution, mineral composition, surface physicochemical characteristics, and operating conditions, leading to complex, stage-dependent thickening behavior. This review adopts a rheology-oriented perspective to analyze the thickening process across its distinct zones—clarification, free settling, hindered settling, and compression. Rheological behavior evolves from Newtonian to non-Newtonian and viscoplastic as solid concentration increases, affecting particle aggregation, settling, and network consolidation. Key parameters—yield stress, viscosity, and viscoelastic moduli—are central to understanding flocculation (e.g., Derjagin–Landau–Verwey–Overbeek, adsorption–bridging), settling, and compression. Integrating rheology with macroscopic models (e.g., Coe–Clevenger, Kynch, Buscall–White) and microscopic theories provides a unified framework for interpreting thickening mechanisms and guiding optimization. Advances in rheometry and online monitoring enable accurate slurry characterization, while numerical simulations incorporating rheology support the prediction of flow fields and solid–liquid separation. This review underscores the necessity of a rheology-based approach for designing flocculant dosing, optimizing equipment, and diagnosing failures. Future thickening technologies will rely on rheology combined with multi-scale modeling, intelligent monitoring, and AI-based control for real-time regulation and sustainable tailings management.

 

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