Effects of model size and particle size on the response of sea-ice samples created with a hexagonal-close-packing pattern in discrete-element method simulations

Particuology ◽  
2018 ◽  
Vol 36 ◽  
pp. 106-113 ◽  
Author(s):  
Shaocheng Di ◽  
Yanzhuo Xue ◽  
Xiaolong Bai ◽  
Qing Wang
2008 ◽  
Vol 48 (12) ◽  
pp. 1696-1703 ◽  
Author(s):  
Hiroshi Mio ◽  
Satoshi Komatsuki ◽  
Masatoshi Akashi ◽  
Atsuko Shimosaka ◽  
Yoshiyuki Shirakawa ◽  
...  

2019 ◽  
Vol 6 (4) ◽  
pp. 739-765 ◽  
Author(s):  
Oriol Jou ◽  
Miguel Angel Celigueta ◽  
Salvador Latorre ◽  
Ferrán Arrufat ◽  
Eugenio Oñate

2021 ◽  
Vol 249 ◽  
pp. 07010
Author(s):  
Wei Pin Goh ◽  
Mojtaba Ghadiri

Milling is an important process for tailoring the particle size distribution for enhanced attributes, such as dissolution, content uniformity, tableting, etc., especially for active pharmaceutical ingredients and excipients in pharmaceutical industries. Milling performance of particulate solids depends on the equipment operating conditions (geometry, process conditions and input energy etc.) as well as material properties (particle size, shape, and mechanical properties, such as Young’s modulus, hardness and fracture toughness). In this paper the particle dynamics in a pin mill is analysed using Discrete Element Method (DEM), combined with a novel approach for assessing particle breakability by single particle impact testing. A sensitivity analysis is carried out addressing the effect of the milling conditions (rotational speed and feed particle flow rate), accounting for feed mechanical properties on the breakage behaviour of the particles. Particle collision energy spectra are calculated and shown to have a distribution with the upper tail end being close to the maximum energy associated with the collision with the rings. Breakage is primarily due to collisions with the rings, except for large particles that are comparable in size with the gap between the rings, nipping is also a contributory breakage mechanism.


2019 ◽  
Vol 99 ◽  
pp. 73-78 ◽  
Author(s):  
Samuel P. Bateman ◽  
Mark D. Orzech ◽  
Joseph Calantoni

Author(s):  
Meire Pereira de Souza Braun ◽  
Alice Jordam Caserta ◽  
Helio Aparecido Navarro

The focus of this paper is to study the behavior of systems with continuous particle size distributions over a gas-solid flow in a bubbling fluidized bed. A lognormal distribution with particle-size range between 800 micrometers and 900 micrometers was used to perform numerical simulations to investigate gas bubbles formation for a polydispersed system. Different drag models were used to predict the bubbles. Species segregation for a binary mixture and a monodispersed system were also studied. Discrete Element Method (DEM) simulations were performed using the source code MFIX (“Multiphase Flow with Interphase eXchanges”) [1] developed at NETL (“National Energy Technology Laboratory”). The bubble size of a single injected bubble depended strongly on gas-particle drag model used. The influence of the gas bubbles in the mixture and segregation was analyzed and discussed. The results were compared with experimental results from the literature and a good agreement were obtained.


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