Multi-objective optimization of a novel vortex finder for performance improvement of cyclone separator

Guo, Ming; Le, Dang Khoi; Sun, Xun; Yoon, Jasang

doi:10.1016/j.powtec.2022.117856

Cited by 23 publications

(5 citation statements)

References 54 publications

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“…In a different study, Guo et al. 291 utilized multi‐objective optimization with GA in conjunction with CFD and response surface models to optimize the geometry of a slotted vortex finder for improved Stairmand cyclone performance. The optimized cyclone model yielded a 34.51 % reduction in Euler number, a 4.32 % increase in collection efficiency, and a 5.53 % reduction in cut‐off size compared to the original design.…”

Section: Advanced Algorithms For Cyclone Optimizationmentioning

confidence: 99%

Numerical Investigation of Cyclone Separators: Physical Mechanisms and Theoretical Algorithms

El‐Emam,

Zhou,

Yasser

2024

ChemBioEng Reviews

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Gas‐particle aero‐type cyclones have revolutionized biochemical processes, engineering industries, and environmental pollution protection by effectively separating particles from gas. These devices rely on gravitational energy and centrifugal force to dissipate particle phase energy, but achieving optimal energy efficiency while minimizing pressure drop remains challenging. This has led to the development of various cyclone designs in commercial industries, each with unique energy efficiency characteristics. The intricate gas‐particle flow inside cyclones is a critical issue impacted by cyclone geometry, operating conditions, and media parameters. Advanced numerical simulations have been employed to understand this complex flow pattern better, offering researchers valuable insights into the mechanisms of different cyclone separators. This comprehensive review explores the available numerical methods in the literature on cyclones and their corresponding validations. Computational numerical modeling is a promising technique for predicting cyclone energy efficiency, gas‐particle behavior, and overall performance. This investigation delves into the progress and numerical forms of gas‐particle flow cyclones, examining how different parameters impact cyclone performance and flow patterns within the two‐phase flow. The future developments and challenges that may further promote the development of aero‐type cyclone separators, providing theory and engineering support for future cyclone designs, are also covered. As a result, it can confidently be reported that aero‐type cyclone separators remain a critical component in various industrial sectors, offering energy‐efficient solutions for mitigating environmental pollutants and gas‐particle separation systems. With continued development and research, these devices will undoubtedly shape the future of energy processes and engineering industries, ushering in a new era of sustainability and efficiency.

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Section: Advanced Algorithms For Cyclone Optimizationmentioning

confidence: 99%

Numerical Investigation of Cyclone Separators: Physical Mechanisms and Theoretical Algorithms

El‐Emam,

Zhou,

Yasser

2024

ChemBioEng Reviews

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“…These pulsations lead to changes in the motion and trajectory of the discrete phase oil droplets. The discrete random walk (DRW) and random eddy lifetime (REL) were used to consider the turbulent dispersion of droplets [28,29].…”

Section: Mathematical Modelsmentioning

confidence: 99%

Impact of Built‐in Helical Fins on the Performance of Oil‐Gas Cyclone Separators

Fu,

Wu,

Liang

et al. 2023

Chem Eng & Technol

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An improved design was proposed by incorporating helical fins onto the vortex finder, and the impact on the comprehensive performance of the oil‐gas cyclone separator was analyzed based on flow field characteristics. The results revealed that the integration of helical fins led to a slight enhancement in the overall separation efficiency and a significant reduction in pressure drop, thus contributing to the decrease of energy consumption in industrial processes. The orthogonal experimental design (OED) method was utilized for the discussion and optimization of five structural parameters related to the helical fins. This study provides new insights for the design of internal components of oil‐gas separators.

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“…In the centrifugal classifier and fluidized bed classifier, the particles are mainly fed by airflow conveying, and the centrifugal force is used to classify the particles. Examples include vortex classifiers [5][6][7][8], cyclone classifiers [9][10][11], and fluidized bed turbine classifiers [12,13]. These classifiers have the characteristics of high classification efficiency, and are applicable to the classification of fine particles.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation Study of a Pusher Feed Classifier Based on RNG-DPM Method

Zhou,

Zou,

et al. 2024

Processes

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The classifier is an essential tool for the development of contemporary engineering technology. The application of classifiers is to categorize mixed-sized particles into multi-stage uniform particle sizes. In current studies, the particles in the classifier obtain their initial velocity when feeding. The classification effect is impacted by the inability to precisely control the initial state of the particles. To solve this problem, a pusher feed classifier was designed in this study, and a numerical simulation was performed to investigate its flow field characteristics and classification performance using the RNG-DPM method. A pusher is utilized to achieve particle feeding without initial velocity and to precisely control the initial state of the particles in the classification flow field. A newly developed two-way air inlet structure is designed to provide a superimposed flow field and enable the five-stage classification. Our results show that this pusher feed classifier has the best classification effect when the vertical airflow velocity is 10 m/s and the horizontal airflow velocity is 3 m/s. Meanwhile, the classification size ratio (CSR) from outlet 1 to outlet 5 was 1.24, 0.55, 0.45, 0.39, and 0.15, respectively.

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Multi-objective optimization of a novel vortex finder for performance improvement of cyclone separator

Cited by 23 publications

References 54 publications

Numerical Investigation of Cyclone Separators: Physical Mechanisms and Theoretical Algorithms

Numerical Investigation of Cyclone Separators: Physical Mechanisms and Theoretical Algorithms

Impact of Built‐in Helical Fins on the Performance of Oil‐Gas Cyclone Separators

Numerical Simulation Study of a Pusher Feed Classifier Based on RNG-DPM Method

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