scholarly journals Particle trajectory model for tribo-electrostatic separating mixed granular plastics

2021 ◽  
pp. 100219
Author(s):  
Yufei Qin ◽  
Kai Gao ◽  
Jia Li ◽  
Zhenming Xu
Keyword(s):  
Particle Trajectory ◽  
Trajectory Model ◽  
Particle Trajectory Model

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.

scholarly journals Marine macro debris transport based on hydrodynamic model before and after reclamation in Jakarta Bay, Indonesia

2020 ◽  
Vol 5 (2) ◽  
pp. 100-111
Author(s):  
Yudi Nurul Ihsan
Keyword(s):  
Eddy Current ◽  
Hydrodynamic Model ◽  
Particle Trajectory ◽  
Surface Current ◽  
Contamination Level ◽  
Model Data ◽  
The World ◽  
Before And After ◽  
Debris Transport ◽  
Particle Trajectory Model

Jakarta Bay as an area with the densest population in Indonesia became one of the highest contamination level waters in the world includes pollution of debris. Reclamation activities in Jakarta Bay will change the water conditions will also affect the distribution of debris at sea. Therefore, this study conducted to determine the movement of the macro debris before and after island reclamation in Jakarta Bay. The method used is a model that simulated by the hydrodynamic model and particle trajectory model. Data needed for the hydrodynamic model were wind, tides, bathymetry, and shoreline, while for the trajectory of the particles using a data type of macro debris, debris weight, and debris flux. Hydrodynamics simulations indicate if a reclamation island formation does not change surface current patterns significantly, but causes a decrease in the flow velocity of ± 0.002 to 0.02 m/s at some point. The trajectory of particles of debris indicate if after reclamation, debris tends to accumulate in the eastern Jakarta Bay in the rainy season (January) as there are anticlockwise eddy current, as well as in the western and eastern regions during the dry season (July), because there is a clockwise eddy current in the eastern Jakarta Bay.

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