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Processes
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Applications of Computational Fluid Dynamics (CFD) in Chemical Process Simulations
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Applications of Computational Fluid Dynamics (CFD) in Chemical Process Simulations

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Chemical Processes and Systems".

Deadline for manuscript submissions: 15 August 2024 | Viewed by 2493

Special Issue Editors

Prof. Dr. Ziqi Cai

E-Mail Website
Guest Editor
School of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China
Interests: fluid mixing; stirred tank; multiphase flow; process intersification
Dr. Jinjin Zhang

E-Mail Website
Guest Editor
College of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo 255000, China
Interests: solid oxide fuel cell; 3D printing; multi-physical field modelling; CFD; multiphase flow reactor

Special Issue Information

Dear Colleagues,

The chemical industry is fundamental in the development of human society by providing various necessary raw materials. As a powerful tool, CFD can be used in chemical industries to analyze and optimize chemical processes and devices, such as reactors, distillation columns, heat exchangers and so on. By predicting the flow, heat transfer and mass transfer of the flow in the chemical process before the real process or device is established, the performance and efficiency can be realized, thus reducing the cost of the product, process development and optimization activities, improving the process reliability and shortening the product marketing cycling.

With the purpose of seeking high quality and interesting work on chemical processes, this Special Issue on “Applications of Computational Fluid Dynamics (CFD) in Chemical Process Simulations” is released to provide a window for the latest advances in the application of CFD in this field. Topics include, but are not, limited to:

  • Multiphase flow in chemical processes and devices;
  • Numerical simulation of complex fluids in chemical processes and devices;
  • Heat and mass transfer numerical simulation in chemical processes;
  • Numerical simulation in micro-scaled processes;
  • Application of CFD in process intensification technology;
  • Application of CFD in the production of advanced materials and new energy resources.

Prof. Dr. Ziqi Cai
Dr. Jinjin Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • fluid flow
  • multiphase
  • complex fluids
  • heat transfer
  • mass transfer
  • process intensification

Published Papers (3 papers)

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Research

15 pages, 6421 KiB  
Article
Study of a Novel Method to Weaken the Backmixing in a Multi-Inlet Vortex Mixer
by Han Peng, Zhipeng Li, Ziqi Cai and Zhengming Gao
Processes 2024, 12(3), 476; https://doi.org/10.3390/pr12030476 - 27 Feb 2024
Viewed by 633
Abstract
A new idea to deal with the backmixing problem in a scaled-up multi-inlet vortex mixer is proposed in this paper. Firstly, a Reynolds-averaged Navier–Stokes–large-eddy simulation hybrid model was used to simulate the flow field in a vortex mixer, and the numerical simulation results [...] Read more.
A new idea to deal with the backmixing problem in a scaled-up multi-inlet vortex mixer is proposed in this paper. Firstly, a Reynolds-averaged Navier–Stokes–large-eddy simulation hybrid model was used to simulate the flow field in a vortex mixer, and the numerical simulation results were compared with those from a particle image velocimetry experiment in order to validate the shielded detached eddy simulation model in the rotating shear flow. Then, by adding a series of columns in the mixing chamber, the formation of wake vortexes was promoted. The flow field in the vortex mixer with different column arrangements were simulated, and the residence time distribution curves of the fluid were obtained. Meanwhile, the degree of backmixing in the vortex mixer was evaluated by means of a tanks-in-series model. In the total ten cases related with four groups of variables, it was found that increasing the diameter of the column was the most efficient for weakening the backmixing in the vortex mixer. Specifically, the vortexes made the kinetic energy of the fluid more evenly distributed in the center of the mixing chamber, thereby eliminating the low-pressure area. After structural adjustment, the number of equivalent mixers was increased by 55%, and the peak number of residence time distribution curves was reduced from four to one. Full article
(This article belongs to the Special Issue Applications of Computational Fluid Dynamics (CFD) in Chemical Process Simulations)
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16 pages, 5257 KiB  
Article
Establishment and Verification of the Kinetics Model of Uranium Continuous Dissolution by Using Discrete Element Method
by Tianchi Li, Fang Liu, Jia Zhou, Chen Zuo, Taihong Yan and Weifang Zheng
Processes 2023, 11(8), 2343; https://doi.org/10.3390/pr11082343 - 3 Aug 2023
Cited by 2 | Viewed by 675
Abstract
Continuous dissolution of spent fuel is indeed one of the key technologies that can significantly improve the efficiency and stability of spent fuel reprocessing. The China Institute of Atomic Energy designed a prototype rotary drum dissolver, and the dissolution behavior of UO2 [...] Read more.
Continuous dissolution of spent fuel is indeed one of the key technologies that can significantly improve the efficiency and stability of spent fuel reprocessing. The China Institute of Atomic Energy designed a prototype rotary drum dissolver, and the dissolution behavior of UO2 pellets in the dissolver was calculated using the Discrete Element Method. A kinetic equation was established to model the dissolution behavior, considering variables such as temperature, nitric acid concentration, and stirring intensity. The calculations showed that complete pellet dissolution took about 10 h in the continuous reaction, compared to 6 h in the batch dissolution experiment due to the gradual decrease in nitric acid concentration. A 16 h continuous dissolution experiment confirmed the calculated results, with a deviation of 10.8% between the simulation and experiment in terms of the mass of dissolved pellets. It was also found that it takes approximately 30 h to reach equilibrium in the continuous rotary dissolver, with a nitric acid concentration of 2.8 mol/L and a uranium concentration of 243 g/L at equilibrium. Full article
(This article belongs to the Special Issue Applications of Computational Fluid Dynamics (CFD) in Chemical Process Simulations)
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16 pages, 11166 KiB  
Article
A Novel Thermal Lattice Boltzmann Method for Numerical Simulation of Natural Convection of Non-Newtonian Fluids
by Xiaofei Ren, Feifei Liu and Zheng Xin
Processes 2023, 11(8), 2326; https://doi.org/10.3390/pr11082326 - 2 Aug 2023
Cited by 3 | Viewed by 796
Abstract
A modified thermal Bhatnagar–Gross–Krook Lattice Boltzmann (BGK-LB) model was developed to study the convection phenomenon of non-Newtonian fluids (NNFs). This model integrates the local shear rate into the equilibrium distribution function (EDF) of the flow field and keeps the relaxation time from varying [...] Read more.
A modified thermal Bhatnagar–Gross–Krook Lattice Boltzmann (BGK-LB) model was developed to study the convection phenomenon of non-Newtonian fluids (NNFs). This model integrates the local shear rate into the equilibrium distribution function (EDF) of the flow field and keeps the relaxation time from varying with fluid viscosity by introducing an additional parameter. In addition, a modified temperature EDF was constructed for the evolution equation of the temperature field to ensure the precise recovery of the convection–diffusion equation. To validate the accuracy and effectiveness of the proposed model, numerical simulations of benchmark problems were performed. Subsequently, we investigated the natural convection of power–law (PL) fluids and examined the impact of the PL index (n = 0.7–1.3) and Rayleigh number (Ra = 103–5 × 105) on the flow and temperature fields while holding the Prandtl number (Pr = 7) constant. The obtained results indicate that, for a given value of n, the convective intensity exhibits a positive correlation with Ra, which is illustrated by the rising trend in the average Nusselt number (Nu¯) with increasing Ra. Additionally, shear-thinning fluid (n < 1) exhibited increased Nu¯ values compared to the Newtonian case, indicating an enhanced convection effect. Conversely, shear-thickening fluid (n > 1) exhibits reduced Nu¯ values, indicating weakened convective behavior. Full article
(This article belongs to the Special Issue Applications of Computational Fluid Dynamics (CFD) in Chemical Process Simulations)
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