Computational Modeling of Multiphase Flow (II)
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".
Deadline for manuscript submissions: closed (20 February 2023) | Viewed by 25054
Related Special Issue: Computational Modelling of Multiphase Flow
Special Issue Editors
Interests: multiphase flows; particle technology; computational modeling
Special Issues, Collections and Topics in MDPI journals
Interests: granular materials; machine learning; artificial neural networking; mineral process; discrete element method; fluid mechanics; particle technology; CFD; numerical and analytical simulation; particle-scaling; chemical engineering; heat and mass transfer and applied mathematics
Special Issue Information
Dear Colleagues,
With the enormous advances in theoretical, as well as numerical, methodologies, computational modelling has become the prevailing tool as it aids in the design, scale-up, control, and operation of complex multiphase reactors. Many research studies have utilised a computational model to investigate the external and internal hydrodynamics, thermal–hydraulic performance, and optimal design of industrial process reactors. Numerical modelling of multiphase flow systems is useful as models are able to provide comprehensive details about and an understanding of the underlying importance of the reactor parameters, which are otherwise difficult to obtain directly from an experiment as they can be challenging to measure. In recent years, computational modelling has widely been applied in various branches of engineering and industry, such as chemical engineering, civil engineering, aerospace engineering, nuclear thermal hydraulics, the chemical process industry, the semiconductor industry, the glass industry, architecture, the steel industry, water and wastewater, the automotive industry, turbomachinery, movies, and computer graphics. In the chemical process industry, computational modelling has numerous applications, including the analysis of multiphase systems, physical processing, separation, heat and mass transfer, mixing, pyrolysis, combustion, drying, exchange reactions, and pipeline flow. These modelling tools have become a popular and well-established technology to help us obtain knowledge about multiphase flow and, in so doing, solve a wide range of reactor design and engineering challenges. Computational modelling can also reduce the time and cost involved in the development of new designs.
This Special Issue, entitled “Computational Modelling of Multiphase Flow”, seeks high-quality works focusing on multiphase process modelling and applications in the mineral and metallurgical industries using advanced computational modelling techniques, such as Computational Fluid Dynamics (CFD), Discrete Particle Simulation (DPM), Direct Numerical Simulation (DNS), the Discrete Element Method (DEM), the Lattice Boltzmann Method (LBM), CFD–DEM, and Graphical Processing Unit (GPU)-based DEM. The scope of this Special Issue includes, but is not limited to:
- Particle–particle, particle–liquid, and gas–liquid–particle interactions/flows;
- Particle-scale modelling of particle-fluid flow coupled with heat and mass transfer;
- Rheological properties of particles and techniques for process simulation;
- Metallurgical processes;
- Combustion, pyrolysis, and gasification of biomass;
- Micro- and macro-dynamic analysis and nanotechnology;
- Particle flow, dispersion, and segregation;
- Applications of particle technology;
- Flows in porous media, granular flows, and other flows.
Dr. Md. Shakhaoath Khan
Dr. S M Arifuzzaman
Guest Editors
Manuscript Submission Information
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Keywords
- computational modeling
- multiphase flow
- particle technology
- phase interactions
- fluid flows and heat and mass transfer
- rheology
- biomass pyrolysis
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