Optimization of the cyclone separator geometry for minimum pressure drop using mathematical models and CFD simulations

Elsayed, Khairy; Lacor, Christian

doi:10.1016/j.ces.2010.08.042

Cited by 228 publications

(124 citation statements)

References 27 publications

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“…As they do not have moving parts, hydrocyclones require low investment in installation and maintenance and are simple to operate, being widely used in the chemical, mineral, textile and petrochemical industries. Some studies using hydrocyclone for the treatment of minerals have been highlighted in recent years, among them the works [9][10][11][12][13][14][15][16][17][18][19][20][21]. These studies concluded that this type of equipment has high efficiency in the separation of fine and coarse particles, with easy operation requiring low investment for installation and maintenance, and having relevant importance in the treatment of non-metallic minerals.…”

Section: Factorial Design and Statistical Analysis Of Smectite Clay Tmentioning

confidence: 99%

Factorial design and statistical analysis of smectite clay treatment by hydrocyclone

et al. 2018

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Bentonite clays are materials composed by one or more smectite clay minerals and some accessory minerals, mainly quartz, cristobalite, mica, feldspars and other clay minerals such as kaolinite. These contaminants present in clays have a large distribution of particle sizes which severely restrict their industrial applications, with the use of hydrocyclone as a likely solution for their reduction. This study aims to analyze the treatment of smectite clays from the state of Paraíba using modeling, simulation and optimization of the variable average particle diameter in relation to various process variables related to the hydrocyclone. In this study, the average diameter of smectite clays was evaluated as a function of the factors: pressure, apex diameter and vortex diameter of the hydrocyclone. Complete factorial design and addition in the central points were used to model the hydrocycloning process. The results evidenced reduction in equivalent average particle size of approximately 19.2%. Regarding the simulations, the optimum point with the lowest value was found for the average diameter of 4.033 µm, with a pressure of 4.3 bar, apex opening of 5.3 mm, and vortex opening of 6.3 mm, all at a 95% confidence level.

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Section: Factorial Design and Statistical Analysis Of Smectite Clay Tmentioning

confidence: 99%

Factorial design and statistical analysis of smectite clay treatment by hydrocyclone

et al. 2018

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“…These experiments are generally costly because they involve manufacturing of gas cyclones and using expensive measurement techniques such as laser Doppler anemometry, and particle image velocimetry [4,5]. With the availability of computing resources, CFD has become an alternative approach to study cyclone separators [2,6,7]. CFD is currently used to study the flow pattern [8][9][10][11], as a simulator for CFD based geometry optimization with different surrogate models [7,[12][13][14][15][16] as well as for shape optimization using the adjoint method [17].…”

Section: Geometry Optimization Of a Gas Cyclone Separatormentioning

confidence: 99%

Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models

Singh

Couckuyt

Elsayed

et al. 2017

J Optim Theory Appl

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Cyclone separators are widely used in a variety of industrial applications. A low-mass loading gas cyclone is characterized by two performance parameters, namely the Euler and Stokes numbers. These parameters are highly sensitive to the geometrical design parameters defining the cyclone. Optimizing the cyclone geometry therefore is a complex problem. Testing a large number of cyclone geometries is impractical due to time constraints. Experimental data and even computational fluid dynamics simulations are time-consuming to perform, with a single simulation or experiment taking several weeks. Simpler analytical models are therefore often used to expedite the design process. However, this comes at the cost of model accuracy. Existing techniques used for cyclone shape optimization in literature do not take multiple fidelities into account. This work combines cheap-to-evaluate well-known mathematical models of cyclones, available data from computational fluid dynamics simulations and experimental data to build a triple-fidelity recursive co-Kriging model. This model can be used as a surrogate with a multi-objective optimization algorithm to identify a Pareto set of a finite number of solutions. The proposed scheme is applied to optimize the cyclone geometry, parametrized by seven design variables.Keywords Cyclone separator · Surrogate-based optimization (SBO) · Multi-fidelity data · Sparse Kriging · Recursive co-Kriging (2017) 175:172-193

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“…It is also used in many studies, which describe the topic discussed in this publication: the optimization of cyclone separator geometries (Hoffmann and Stein 2007;Elsayed and Lacor 2010).…”

Section: Introductionmentioning

confidence: 99%

Optimization via multimodel simulation

Bartz-Beielstein

Zaefferer

Pham

2018

Struct Multidisc Optim

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Increasing computational power and the availability of 3D printers provide new tools for the combination of modeling and experimentation. Several simulation tools can be run independently and in parallel, e.g., long running computational fluid dynamics simulations can be accompanied by experiments with 3D printers. Furthermore, results from analytical and data-driven models can be incorporated. However, there are fundamental differences between these modeling approaches: some models, e.g., analytical models, use domain knowledge, whereas data-driven models do not require any information about the underlying processes. At the same time, data-driven models require input and output data, but analytical models do not. Combining results from models with different input-output structures might improve and accelerate the optimization process. The optimization via multimodel simulation (OMMS) approach, which is able to combine results from these different models, is introduced in this paper.Using cyclonic dust separators as a real-world simulation problem, the feasibility of this approach is demonstrated and a proof-of-concept is presented. Cyclones are popular devices used to filter dust from the emit- ted flue gases. They are applied as pre-filters in many industrial processes including energy production and grain processing facilities. Pros and cons of this multimodel optimization approach are discussed and experiences from experiments are presented.

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Optimization of the cyclone separator geometry for minimum pressure drop using mathematical models and CFD simulations

Cited by 228 publications

References 27 publications

Factorial design and statistical analysis of smectite clay treatment by hydrocyclone

Factorial design and statistical analysis of smectite clay treatment by hydrocyclone

Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models

Optimization via multimodel simulation

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