Multi-objective optimization of hydrocyclones using meta-heuristic algorithms and preference-informed decision-making

Tan, Cong; Hu, Hongwei; Ye, Qing; E, Dianyu; Cui, Jiaxin; Zhou, Zongyan; Kuang, Shibo; Zou, Ruiping; Yu, Aibing

doi:10.1016/j.powtec.2024.120050

Powder Technology

2024

DOI: 10.1016/j.powtec.2024.120050

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Multi-objective optimization of hydrocyclones using meta-heuristic algorithms and preference-informed decision-making

Cong Tan,

Hongwei Hu,

Qing Ye

et al.

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2024

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Cited by 3 publications

References 67 publications

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An optimization framework for achieving optimal hydrocyclone's performance aligning with decision-makers' preferences

Tan,

et al. 2024

Powder Technology

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An optimization framework for achieving optimal hydrocyclone's performance aligning with decision-makers' preferences

Tan,

et al. 2024

Powder Technology

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DOU-DCGAN: Optimization of cement grinding operational metrics in a dynamic environment

Hao,

Su,

et al. 2024

Powder Technology

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Hydrodynamic Evaluation of a Filtering Hydrocyclone for Solid Particle/Water Separation

Cavalcante,

Magalhães,

Neto

et al. 2024

Membranes

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A conventional hydrocyclones is a versatile equipment with a high processing capacity and low maintenance cost. Currently, several studies aim to alter the typical structure of the conventional hydrocyclone in order to modify its performance and purpose. For this, filtering hydrocyclones have emerged, where a porous membrane replaces the conic or cylindrical wall. During the operation of this equipment, in addition to the traditionally observed streams (feed, underflow, and overflow), there is a liquid stream resulting from the filtration process, commonly referred to as filtrate. This work proposes to numerically investigate the solid particle/liquid water separation process in a filtering hydrocyclone using the commercial software Ansys CFX® 15.0. The proposed mathematical model for the study considers three-dimensional, steady state and turbulent flow, using the Eulerian–Eulerian approach and the Shear Stress Transport (SST) turbulence model. This study presents and analyzes the volume fraction, velocity, and pressure fields, along with flowlines and velocity profiles. The results indicate that the proposed model effectively captures the fluid dynamic behavior within the filtering hydrocyclone, highlighting higher pressures near the porous membrane and a higher concentration of solid particles in the conical region, with water being more concentrated in the cylindrical part of the hydrocyclone. Additionally, the findings show that the volumetric flow rate of the filtrate significantly influences the internal flow dynamics, with conventional hydrocyclones demonstrating higher pressure gradients compared to the proposed filtering hydrocyclone.

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Multi-objective optimization of hydrocyclones using meta-heuristic algorithms and preference-informed decision-making

Cited by 3 publications

References 67 publications

An optimization framework for achieving optimal hydrocyclone's performance aligning with decision-makers' preferences

An optimization framework for achieving optimal hydrocyclone's performance aligning with decision-makers' preferences

DOU-DCGAN: Optimization of cement grinding operational metrics in a dynamic environment

Hydrodynamic Evaluation of a Filtering Hydrocyclone for Solid Particle/Water Separation

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