Rheology-driven approaches in slurry transportation: Influence of bimodal mixtures, additives, and modelling perspectives

IF 23.7 1区化学 Q1 CHEMISTRY, PHYSICAL

Advances in Colloid and Interface Science Pub Date : 2026-01-01 Epub Date: 2025-11-09 DOI:10.1016/j.cis.2025.103714

Asisha Ranjan Pradhan

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Abstract

Slurry transportation through pipelines is an essential technology supporting mining, mineral processing, power generation, dredging, and related industries. Its performance is governed by the interactions between solid particles, carrier fluids, and operating conditions, which collectively determine rheology, stability, and energy demand. This review synthesises recent developments on the influence of particle size distribution, concentration, and morphology on slurry flow behaviour, as well as the role of chemical and bio-based additives in improving suspension stability, reducing viscosity, and enabling higher solids loading. The discussion extends to advances in rheological modelling and computational approaches, ranging from empirical correlations to computational fluid dynamics (CFD), discrete element modelling, and emerging hybrid frameworks that integrate artificial intelligence and machine learning for improved prediction and control. Case studies and experimental findings highlight the potential of optimised formulations and modelling strategies to enhance flowability, minimise pressure losses, and promote energy-efficient operation. Attention is also given to the limitations of current methods, challenges in scaling laboratory results to field conditions, and the need for standardisation in additive evaluation and model validation. By consolidating these insights, the review provides a comprehensive understanding of slurry pipeline transport and outlines opportunities for developing reliable, sustainable, and adaptable systems suited to future industrial demands.

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流变驱动的泥浆输送方法：双峰混合物、添加剂和建模观点的影响。

管道输送浆体是支撑采矿、选矿、发电、疏浚及相关行业的重要技术。它的性能取决于固体颗粒、载体流体和操作条件之间的相互作用，这些因素共同决定了流变性、稳定性和能量需求。这篇综述综合了粒度分布、浓度和形态对浆液流动行为的影响的最新进展，以及化学和生物基添加剂在改善悬浮液稳定性、降低粘度和实现更高固体负载方面的作用。讨论扩展到流变建模和计算方法的进展，从经验关联到计算流体动力学（CFD），离散元素建模，以及集成人工智能和机器学习以改进预测和控制的新兴混合框架。案例研究和实验结果强调了优化配方和建模策略在提高流动性、减少压力损失和促进节能操作方面的潜力。还注意到当前方法的局限性，将实验室结果扩展到现场条件的挑战，以及在添加剂评估和模型验证方面标准化的必要性。通过整合这些见解，该综述提供了对泥浆管道输送的全面了解，并概述了开发可靠、可持续和适应性强的系统以适应未来工业需求的机会。

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来源期刊

Advances in Colloid and Interface Science 化学-物理化学

CiteScore

28.50

自引率

2.60%

发文量

175

审稿时长

31 days

期刊介绍： "Advances in Colloid and Interface Science" is an international journal that focuses on experimental and theoretical developments in interfacial and colloidal phenomena. The journal covers a wide range of disciplines including biology, chemistry, physics, and technology. The journal accepts review articles on any topic within the scope of colloid and interface science. These articles should provide an in-depth analysis of the subject matter, offering a critical review of the current state of the field. The author's informed opinion on the topic should also be included. The manuscript should compare and contrast ideas found in the reviewed literature and address the limitations of these ideas. Typically, the articles published in this journal are written by recognized experts in the field.