Numerical Simulation of Liquid–Solid Countercurrent Fluidization inside an Extraction Column Based on Particle Trajectory Model

2014 ◽  
Vol 22 (11-12) ◽  
pp. 1179-1186 ◽  
Author(s):  
Zhongyuan Li ◽  
Xingang Li ◽  
Hong Sui ◽  
Hong Li
Keyword(s):  
Numerical Simulation ◽  
Particle Trajectory ◽  
Extraction Column ◽  
Trajectory Model ◽  
Particle Trajectory Model

Numerical Simulation of Gas-Solid Two-Phase Flow in Air Pre-Cleaner Based on CFD

2013 ◽  
Vol 834-836 ◽  
pp. 1423-1427
Author(s):  
Gui Yang Dong ◽  
Ye Fa Tan ◽  
Hong Wei Li ◽  
Chun Hua Zhou ◽  
Wei Gang Wang ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Moving Boundary ◽  
Particle Trajectory ◽  
Internal Flow ◽  
Computational Grids ◽  
Particle Phase ◽  
Two Phase ◽  
Sliding Mesh ◽  
Cell Source ◽  
Particle Trajectory Model

Computational grids of the complex internal flow passage in air pre-filter were generated, using the partitioned mixed grids. Based on the method of user-defined functions controlling sliding mesh, a program of defining moving boundary was proposed, and numerical simulation of the rotor movement transient controlled by the flow field of air pre-filter was achieved. Based on the theory of Euler-Lagrange phase flows, stochastic particle trajectory model and cell source method were adopted to calculate the trajectories and concentration distributions of particle phase in air pre-filter.

Numerical Simulation on Two Phase Combustion Characteristic in Solid Rocket Ramjet Afterburning Chamber

2013 ◽  
Vol 774-776 ◽  
pp. 737-742
Author(s):  
Nai Fei Zhang ◽  
Yi Hua Xu ◽  
Zhuo Xiong Zeng ◽  
Ben En Xu
Keyword(s):  
Numerical Simulation ◽  
Particle Trajectory ◽  
Particle Diameter ◽  
Combustion Efficiency ◽  
Combustion Characteristic ◽  
Two Phase ◽  
Afterburning Chamber ◽  
Solid Rocket ◽  
Inlet Angle ◽  
Particle Trajectory Model

Numerical simulation on two-phase combustion characteristic in afterburning chamber of solid rocket ramjet was carried out by applying particle trajectory model. It was analyzed that the nozzle number of secondary combustion chamber, inlet angle of air and particles diameter impact on efficiency of combustion. Results show that the combustion efficiency in the afterburning chamber is highest, achieving 99.6% when the angle between both air inlets is 180°, particle diameter is 15μm, and 5-hole nozzle is used. By contrary, when the angle between both air inlets is 90°, particle diameter is 5μm, and 5-hole nozzle is used, the afterburning chamber has a lowest combustion efficiency of 70.3%.

scholarly journals Injection Performance of a Gas-Solid Injector Based on the Particle Trajectory Model

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Daolong Yang ◽  
Jianping Li ◽  
Changlong Du ◽  
Hongxiang Jiang ◽  
Kehong Zheng
Keyword(s):  
Particle Trajectory ◽  
Experimental Studies ◽  
Pneumatic Conveying ◽  
Test Bed ◽  
Key Factors ◽  
Trajectory Model ◽  
Key Factor ◽  
Nozzle Position ◽  
Particle Trajectory Model ◽  
Number Of Particles

Gas-solid injectors are widely used feeding equipment in pneumatic conveying systems. The performance of a gas-solid injector has a significant influence on the type of application it can be employed for. To determine the key factors influencing the injection performance and address clogging problems in a gas-solid injector during a pneumatic conveying process, the particle trajectory model has been utilised as a means to perform simulations. In the particle trajectory model, the gas phase is treated as a continuous medium and the particle phase is treated as a dispersed phase. In this work, numerical and experimental studies were conducted for different nozzle positions in a gas-solid injector. A gas-solid injector test-bed was constructed based on the results of the simulations. The results show that the nozzle position is the key factor that affects the injection performance. The number of extrusive particles first increases and then decreases with the change in the nozzle position from left to right. Additionally, there is an optimum nozzle position that maximises the injection mass and minimises the number of particles remaining in the hopper. Based on the results of this work, the injection performance can be significantly increased and the clogging issues are effectively eliminated.

scholarly journals Implementation of a Lagrangian Stochastic Particle Trajectory Model (LaStTraM) to Simulate Concentration and Flux Footprints Using the Microclimate Model ENVI-Met

Atmosphere ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 977
Author(s):  
Helge Simon ◽  
Jannik Heusinger ◽  
Tim Sinsel ◽  
Stephan Weber ◽  
Michael Bruse
Keyword(s):  
Particle Trajectory ◽  
High Accuracy ◽  
Complex Model ◽  
Urban Environments ◽  
Flux Footprint ◽  
Trajectory Model ◽  
Flux Measurements ◽  
Particle Trajectory Model ◽  
Flux Footprints ◽  
Stochastic Particle

The number of studies evaluating flux or concentration footprints has grown considerably in recent years. These footprints are vital to understand surface–atmosphere flux measurements, for example by eddy covariance. The newly developed backwards trajectory model LaStTraM (Lagrangian Stochastic Trajectory Model) is a post-processing tool, which uses simulation results of the holistic 3D microclimate model ENVI-met as input. The probability distribution of the particles is calculated using the Lagrangian Stochastic method. Combining LaStTraM with ENVI-met should allow us to simulate flux and concentration footprints in complex urban environments. Applications and evaluations were conducted through a comparison with the commonly used 2D models Kormann Meixner and Flux Footprint Predictions in two different meteorological cases (stable, unstable) and in three different detector heights. LaStTraM is capable of reproducing the results of the commonly used 2D models with high accuracy. In addition to the comparison with common footprint models, studies with a simple heterogeneous and a realistic, more complex model domain are presented. All examples show plausible results, thus demonstrating LaStTraM’s potential for the reliable calculation of footprints in homogeneous and heterogenous areas.

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