scholarly journals Parametric study of gas-solid flow characteristic by using integration computational fluid dynamics and dynamic simulation

2021 ◽  
Vol 1034 (1) ◽  
pp. 012029
Author(s):  
Candra Damis Widiawaty ◽  
Ahmad Indra Siswantara ◽  
Budiarso ◽  
Asyari Daryus ◽  
Gun Gun Ramdlan Gunadi ◽  
...  
Soft Matter ◽  
2020 ◽  
Vol 16 (41) ◽  
pp. 9506-9518 ◽  
Author(s):  
Venoos Amiri Roodan ◽  
Jenifer Gómez-Pastora ◽  
Ioannis H. Karampelas ◽  
Cristina González-Fernández ◽  
Eugenio Bringas ◽  
...  

Integrated computational fluid dynamics and magnetics simulation is employed to analyze the effects of magnetic force on the formation and manipulation of ferrofluid droplets within a flowing non-magnetic continuous phase in a microfluidic device.


Author(s):  
Manoj Kumar

There have been many incidents of hull damage due to over and under-pressurizing of ship tanks during ballasting and deballasting. A safety relief hole of 6 to 8mm diameter is generally provided in Air-pipes to prevent accidental over and under-pressurizing of ship tanks during ballasting and deballasting. This paper investigates the pressure rise and drop inside the tank assuming the air-pipe to be closed. A practical method based on Computational Fluid Dynamics has been presented to find out the maximum pressure rise or drop. A parametric study, based on varying relief hole diameter, has been carried out. The investigation brings to prospective the extent of pressure rise or drop, and hence the damages that can occur due to poor operation of the Air-pipes during ballasting and deballasting and a need for automated opening and closing of the Air-pipes for a safer ship.


2014 ◽  
Vol 50 (1) ◽  
pp. 58-71 ◽  
Author(s):  
Rajib Kumar Saha ◽  
Madhumita Ray ◽  
Chao Zhang

The disinfection characteristics of an open channel ultra-violet (UV) disinfection reactor is investigated numerically. The computational fluid dynamics (CFD) model used in this study is based on the volume of fluid (VOF) method to capture the water–air interface. The Lagrangian particle tracking method is used to calculate the microbial particle trajectory and the discrete ordinate (DO) model is used to calculate the UV intensity field inside the reactor. A commercial CFD software package ANSYS FLUENT is used to solve the governing equations. Custom user defined functions (UDFs) are developed to calculate the UV doses. A post-processor is developed in MATLAB to implement the inactivation kinetics of the microbes. The post-processor provides the probabilistic dose distribution and reduction equivalent dose (RED) values achievable in the reactor. The numerical predictions are compared with available experimental data to validate the CFD model. A parametric study is performed to understand the effects of different parameters on disinfection performance of the reactor. The low/high dosed particle trajectories, which can provide an insight for hydraulic and optical characteristics of the reactor for possible design improvements, are identified.


2018 ◽  
Vol 10 (4) ◽  
pp. 202-214
Author(s):  
Yeping Xie ◽  
Yongquan Liu ◽  
Linmin Li ◽  
Chang Xu ◽  
Baokuan Li

Gas–solid flows are widely found in various industrial processes, e.g. chemical engineering and sand ingestion test for aero-engine; the interaction between continuum and discrete particles in such systems always leads to complex phase structures of which fundamental understandings are needed. Within the OpenFOAM, the present work uses the discrete element method combined with the computational fluid dynamics to investigate the gas–solid flow behaviors in a dense fluidized bed under various conditions. A drag law which is for polydisperse systems derived from lattice Boltzmann simulations is incorporated into the computational fluid dynamics-discrete element method framework and its suitability for different flow regimes is investigated. The regimes including, namely slugging bed, jet-in-fluidized bed, spout fluidization, and intermediate, are simulated and validated against experiments. The results show that the lattice Boltzmann drag relation performs well in capturing characteristics of different gas–solid flow regimes. Good agreements are also obtained quantitatively by comparisons of pressure drop fluctuation, and time-averaged gas velocity and particle flux.


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