scholarly journals A numerical study of particle jetting in a dense particle bed driven by an air-blast

2020 ◽  
Vol 32 (9) ◽  
pp. 093301
Author(s):  
Rahul Babu Koneru ◽  
Bertrand Rollin ◽  
Bradford Durant ◽  
Frederick Ouellet ◽  
S. Balachandar
Keyword(s):  
Numerical Study ◽  
Dense Particle ◽  
Air Blast ◽  
Particle Bed ◽  
Particle Jetting

scholarly journals Application of three-dimensional numerical study in air-blast atomizer designing

2013 ◽  
Vol 6 (3) ◽  
pp. 346-353 ◽  
Author(s):  
A.M. Sipatov ◽  
S.A. Karabasov ◽  
L.Y. Gomzikov ◽  
T.V. Abramchuk ◽  
G.N. Semakov
Keyword(s):  
Numerical Study ◽  
Three Dimensional ◽  
Air Blast

scholarly journals Numerical Study of the Effects of Twin-Fluid Atomization on the Suspension Plasma Spraying Process

Fluids ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 224
Author(s):  
Mehdi Jadidi ◽  
Sara Moghtadernejad ◽  
Jack Hanson
Keyword(s):  
Plasma Spraying ◽  
Fine Particles ◽  
Numerical Study ◽  
Suspension Plasma Spraying ◽  
Solid Particles ◽  
Droplet Breakup ◽  
Flight Behavior ◽  
Spray Angle ◽  
Injection System ◽  
Air Blast

Suspension plasma spraying (SPS) is an effective technique to enhance the quality of the thermal barrier, wear-resistant, corrosion-resistant, and superhydrophobic coatings. To create the suspension in the SPS technique, nano and sub-micron solid particles are added to a base liquid (typically water or ethanol). Subsequently, by using either a mechanical injection system with a plain orifice or a twin-fluid atomizer (e.g., air-blast or effervescent), the suspension is injected into the high-velocity high-temperature plasma flow. In the present work, we simulate the interactions between the air-blast suspension spray and the plasma crossflow by using a three-dimensional two-way coupled Eulerian–Lagrangian model. Here, the suspension consists of ethanol (85 wt.%) and nickel (15 wt.%). Furthermore, at the standoff distance of 40 mm, a flat substrate is placed. To model the turbulence and the droplet breakup, Reynolds Stress Model (RSM) and Kelvin-Helmholtz Rayleigh-Taylor breakup model are used, respectively. Tracking of the fine particles is continued after suspension’s fragmentation and evaporation, until their deposition on the substrate. In addition, the effects of several parameters such as suspension mass flow rate, spray angle, and injector location on the in-flight behavior of droplets/particles as well as the particle velocity and temperature upon impact are investigated. It is shown that the injector location and the spray angle have a significant influence on the droplet/particle in-flight behavior. If the injector is far from the plasma or the spray angle is too wide, the particle temperature and velocity upon impact decrease considerably.

scholarly journals Corrigendum: Numerical Study on Discharging Characteristics of Entangled Cluster of Particles in Particle Bed

2021 ◽  
Vol 9 ◽  
Author(s):  
Xiaoli Huang ◽  
Liang Ge ◽  
Nan Gui ◽  
X. T. Yang ◽  
J. Y. Tu ◽  
...  
Keyword(s):  
Numerical Study ◽  
Particle Bed

Experimental and numerical study of aluminum foam-cored sandwich tubes subjected to internal air blast

2017 ◽  
Vol 125 ◽  
pp. 134-143 ◽  
Author(s):  
Minzu Liang ◽  
Fangyun Lu ◽  
Guodong Zhang ◽  
Xiangyu Li
Keyword(s):  
Aluminum Foam ◽  
Numerical Study ◽  
Air Blast

Numerical study of heat transfer in gravity-driven dense particle flow around a hexagonal tube

2020 ◽  
Vol 367 ◽  
pp. 285-295
Author(s):  
Xing Tian ◽  
Jian Yang ◽  
Zhigang Guo ◽  
Qiuwang Wang ◽  
Bengt Sunden
Keyword(s):  
Heat Transfer ◽  
Numerical Study ◽  
Particle Flow ◽  
Dense Particle ◽  
Gravity Driven

scholarly journals Numerical Study on Discharging Characteristics of Entangled Cluster of Particles in Particle Bed

2021 ◽  
Vol 9 ◽  
Author(s):  
Xiaoli Huang ◽  
Liang Ge ◽  
Nan Gui ◽  
X. T. Yang ◽  
J. Y. Tu ◽  
...  
Keyword(s):  
Discrete Element Method ◽  
Flow Rate ◽  
Numerical Study ◽  
Discrete Element ◽  
Time Dependent ◽  
Movement Behavior ◽  
Particle Cluster ◽  
Flow Features ◽  
Particle Bed

To better understand the flow features of the particle cluster in a particle bed, discharging of the particle entangled cluster is simulated by the discrete element method (DEM). The particle entangled cluster is composed of eight particles connected by rigid bonds, and the simulated entangled cluster models are divided into two types: axisymmetric u-particles and distorted z-particles. The simulation starts with the closed discharge outlet, and the bonded clusters with different IDs are randomly added from the entrance section. The particles fall freely and accumulate freely in the particle bed. The discharge hole opens after all the particles are stationary for a period. Then, the particles are discharged from the particle bed under gravity. The discharging process has time-dependent bulk-movement behavior. There is not much mixing between layers on the boundary. The vertical end not only makes the packing loose but also intensifies the interaction between particles due to entanglement. Consequently, the discharge features of particle entangled clusters of different included angles were quantified. The results show that the particle discharging speeds depend on the entanglement angle (α of u-particles and η of z-particles) and discharging outlet diameter. A large included angle may play the role of retarding or inhibiting the discharging flow rate. Therefore, the entanglement of particle components also always plays the key role of retarding the discharge.

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