Computational fluid dynamic simulation of gas-liquid flow in rotating packed bed: A review

Chen, Wen-Cong; Fan, Ya-Wei; Zhang, Liangliang; Luo, Yong; Chu, Guang‐Wen; Chen, Jianfeng

doi:10.1016/j.cjche.2021.09.024

Cited by 17 publications

(6 citation statements)

References 99 publications

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“…The purification of PCz was carried out via SAS precipitation in a rotating packed bed (RPB) reactor, which consists of a packed rotator, a seal ring, an inlet, and an outlet. , Methanol was used as the antisolvent, and the acetonitrile was chosen as the solvent. In a typical experiment, the solvent of PCz in acetonitrile and antisolvent (methanol) with a fixed volume ratio of 1:10 were simultaneously pumped into the RPB reactor while the rotator was working at 1197 rpm (revolutions per minute).…”

Section: Methodsmentioning

confidence: 99%

Solubility Measurement and Modeling of 9-Phenylcarbazole in Various Organic Solvents at Different Temperatures toward Efficient Process Design of Solvent Antisolvent Precipitation

Yang

Guo

et al. 2023

J. Chem. Eng. Data

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9-Phenylcarbazole (PCz) is widely used for synthesizing functional molecules in display material industry and synthetic crystal industry. This study aimed to gain reliable experimental data for PCz solubility in common organic solvents under atmospheric pressure in the temperature range of 278.15 to 313.15 K. The selected solvents are methanol, ethanol, n-propanol, isopropanol, n-butanol, n-hexane, cyclohexane, acetonitrile, 1,4dioxane, tetrahydrofuran, dichloromethane, and trichloromethane. Evaluating the existing models for solid−liquid equilibrium showed that the Apelblat equation was reliable and that the maximum value of mean square deviation between experimental and calculated data was 0.016. This knowledge was referenced for designing the solvent antisolvent (SAS) precipitation processing. Purified products of PCz with a mass fraction purity of over 98.11% was obtained via SAS precipitation in a rotating packed bed with intensified micromixing. Bulk crystals of PCz with high quality were grown from acetonitrile via the deposited crystallization processing.

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Section: Methodsmentioning

confidence: 99%

Solubility Measurement and Modeling of 9-Phenylcarbazole in Various Organic Solvents at Different Temperatures toward Efficient Process Design of Solvent Antisolvent Precipitation

Yang

Guo

et al. 2023

J. Chem. Eng. Data

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“…The hydrodynamic characteristics in RPBs have been studied extensively by many scholars so far. Due to the nonlinear flow in RPBs, theoretical analysis method cannot give an analytical solution [14]. Therefore, researches on the hydrodynamic characteristics of RPBs have mainly focused on two aspects: experimental researches and computational fluid dynamics (CFD) simulation researches.…”

Section: Introductionmentioning

confidence: 99%

“…Although the above experimental methods can visually help us to obtain fluid flow information inside RPBs, there are still some basic data that are difficult to acquire owing to the intricate structure of RPBs. For instance, under varying operational conditions, it is difficult to acquire information such as fluid velocity, concentration gradient, turbulent energy, and instantaneous drag force [14,23]. In recent years, as the swift progress of computer-related technologies, CFD methods have gradually become an effective tool for studying flow, mass transfer, reaction and structural optimization.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional gas-liquid flow simulation of a rotating packed bed using Eulerian porous media models

Han,

Yan,

et al. 2023

Preprint

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The rotating packed bed (RPB) is a typical equipment in chemical process intensification technology due to its excellent mass transfer performance. In this paper，three different single-phase wire screen packing pressure drop models coupled with the interfacial area model were used to construct resistance calculation methods for porous media, respectively. The results show that simulation deviations of the liquid holdup and the pressure drop of the m-K model range from 0.92% to 27.61% and 1.63% to 34.59%, respectively. The m-K model has the highest prediction accuracy at N=500~1500 rpm. At N=2000~2500 rpm, the B model has the highest prediction accuracy. The higher the viscosity of the liquid, the more uniform the axial liquid distribution in the packing, and the longer the liquid mean residence time. The impact of different nozzle designs on liquid distribution has been investigated using a new method based on user-defined functions (UDFs).

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“…Over the last few years, numerous experiments [ 31 , 32 , 33 , 34 ], simulations and modelling [ 35 , 36 , 37 , 38 ], and computational fluid dynamics (CFD)-based hydrodynamic studies [ 39 , 40 , 41 , 42 ] were conducted to procure a better understanding of the mass transfer within the RPB in high gravity environments and to improve the technology. Nonetheless, a majority of the reports were based on the absorption process and were operated under five bars and above zero temperatures.…”

Section: Introductionmentioning

confidence: 99%

“…The approach offered equipment size, performance, and cost advantages over conventional technologies [29]. Furthermore, Boodhoo and Harle (2013) discovered that the RPB provided the highest mass and heat transfer compared to other PI technologies with significant equipment size and footprint reductions that benefit pilots or commercial applications [30] Over the last few years, numerous experiments [31][32][33][34], simulations and modelling [35][36][37][38], and computational fluid dynamics (CFD)-based hydrodynamic studies [39][40][41][42] were conducted to procure a better understanding of the mass transfer within the RPB in high gravity environments and to improve the technology. Nonetheless, a majority of the reports were based on the absorption process and were operated under five bars and above zero temperatures.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Nitrogen Removal from Natural Gas in Rotating Packed Bed Using Artificial Neural Networks

2023

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Novel or unconventional technologies are critical to providing cost-competitive natural gas supplies to meet rising demands and provide more opportunities to develop low-quality gas fields with high contaminants, including high carbon dioxide (CO2) fields. High nitrogen concentrations that reduce the heating value of gaseous products are typically associated with high CO2 fields. Consequently, removing nitrogen is essential for meeting customers’ requirements. The intensification approach with a rotating packed bed (RPB) demonstrated considerable potential to remove nitrogen from natural gas under cryogenic conditions. Moreover, the process significantly reduces the equipment size compared to the conventional distillation column, thus making it more economical. The prediction model developed in this study employed artificial neural networks (ANN) based on data from in-house experiments due to a lack of available data. The ANN model is preferred as it offers easy processing of large amounts of data, even for more complex processes, compared to developing the first principal mathematical model, which requires numerous assumptions and might be associated with lumped components in the kinetic model. Backpropagation algorithms for ANN Lavenberg–Marquardt (LM), scaled conjugate gradient (SCG), and Bayesian regularisation (BR) were also utilised. Resultantly, the LM produced the best model for predicting nitrogen removal from natural gas compared to other ANN models with a layer size of nine, with a 99.56% regression (R2) and 0.0128 mean standard error (MSE).

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Computational fluid dynamic simulation of gas-liquid flow in rotating packed bed: A review

Cited by 17 publications

References 99 publications

Solubility Measurement and Modeling of 9-Phenylcarbazole in Various Organic Solvents at Different Temperatures toward Efficient Process Design of Solvent Antisolvent Precipitation

Solubility Measurement and Modeling of 9-Phenylcarbazole in Various Organic Solvents at Different Temperatures toward Efficient Process Design of Solvent Antisolvent Precipitation

Three-dimensional gas-liquid flow simulation of a rotating packed bed using Eulerian porous media models

Modeling of Nitrogen Removal from Natural Gas in Rotating Packed Bed Using Artificial Neural Networks

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