Influence of Vortex Finder Structure on Separation Performance of Double-Overflow Three-Product Hydrocyclones

Zhang, Yuekan; Ge, Jijiang; Jiang, Lanyue; Wang, Hui; Yang, Junru; Chen, Bin

doi:10.3390/separations8060079

Cited by 3 publications

(2 citation statements)

References 37 publications

(37 reference statements)

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“…As p-value < 0.05 in the ANOVA, the null hypothesis is rejected, meaning that at least one coefficient is significantly different from the others. The regression equation of the INO P80 is presented in Equation (16).…”

Section: Feed Flowratementioning

confidence: 99%

“…[15] This application can be an alternative to solve problems with size classification without using multi-stage HCs in series or parallel. [16] Obeng and Morrell [17] described a new type of cyclone, called the Julius Kruttschnitt three-product cyclone (JK TPC) (Figure 1), developed at the Julius Kruttschnitt Mineral Research Centre (JKMRC). This equipment was created as an alternative solution to conventional HCs, which possess the disadvantage of returning the finer, denser liberated minerals to the grinding mill, resulting in higher costs and lower efficiency in the following processes.…”

Section: Introductionmentioning

confidence: 99%

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Comparison between response surface methodology and artificial neural network: Application in three‐product hydrocyclones

et al. 2022

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Modelling a process or equipment is a profitable strategy to build better control strategies, predict fault conditions, and optimize the processes. Different approaches could be explored to achieve the development of better models. This paper investigates the use of experimental data generated by a central composite rotatable design (CCRD) to develop models capable of predicting the performance of a three‐product hydrocyclone for several setups with different dimensional parameters values. Two different modelling strategies are explored: response surface methodology (RSM) and artificial neural networks (ANN). With the RSM models, it was possible to evaluate the statistical importance of the input variables to each output variable. The ANN models showed improved coefficients of determinations (R2) compared to the RSM models, presenting values higher than 97% for all cases, while the RSM models ranged from 79.07%–88.83%. The ANN was demonstrated to be the most effective method to model the physical problem of three‐product hydrocyclones, and it captured its non‐linearities. It was shown that the combination of the design of experiments and ANN to analyze this physical problem is successful and may also be applied to other problems. As far as we have knowledge, a work regarding the comparison of both RSM and ANN methods applied to three‐product hydrocyclones was not found in the literature; this absence was the motivation for this work.

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Section: Feed Flowratementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison between response surface methodology and artificial neural network: Application in three‐product hydrocyclones

et al. 2022

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Study on the separation performance of a three-product hydrocyclone with overflow reseparation

Chen,

Liu,

Gao

et al. 2024

Powder Technology

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Study of an Ejector Water Intake and Treatment Plant with a Pressure-Vacuum Hydrocyclone

Kassymbekov

Kuldeev²,

Kassymbekov

2022

Water

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The intake of natural water or waste water from a depth exceeding the suction height of centrifugal pumps is mainly carried out due to additional water supply at the suction of the pump. However, this process becomes more complicated if it is necessary to purify water from mechanical impurities. The purpose of the presented work is to consider this issue based on the development and study of the parameters of an ejector water intake treatment plant equipped with a pressure-vacuum hydrocyclone. The main contribution of the ongoing research is the establishment of the technological parameters of the installation, and their features in the pressure-vacuum mode of operation, in contrast to the known pressure and vacuum hydrocyclones separately. In terms of methodology, the main parameters of the developed installation were established during the testing of its prototype on a specially built stand using well-known regulatory guidelines in the hydraulic research system. As a result of the study, the nature of the change in pressure inside a cylindrical–conical hydrocyclone, with established design dimensions and the patterns of formation of vacuum and pressure-vacuum modes depending on the initial parameters, was revealed. The data obtained to determine the effect of technological parameters of ejection and the characteristics of the supplied water with impurities on the operating mode of the hydrocyclone confirm the efficiency of water intake and purification. A rational mode of joint operation of the elements of a closed system is achieved at the maximum value of the installation efficiency and ensuring low specific energy consumption per 1 m3 of treated water.

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Influence of Vortex Finder Structure on Separation Performance of Double-Overflow Three-Product Hydrocyclones

Cited by 3 publications

References 37 publications

Comparison between response surface methodology and artificial neural network: Application in three‐product hydrocyclones

Comparison between response surface methodology and artificial neural network: Application in three‐product hydrocyclones

Study on the separation performance of a three-product hydrocyclone with overflow reseparation

Study of an Ejector Water Intake and Treatment Plant with a Pressure-Vacuum Hydrocyclone

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