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Processes
Special Issues
Simulation for Analyzing Particle Behavior
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Simulation for Analyzing Particle Behavior

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 14833

Special Issue Editor

Dr. Hiroshi Mio

E-Mail Website
Guest Editor
Ironmaking Research Lab, Process Research Laboratories, Nippon Steel Corporation 20-1, Shintomi, Futtsu, Chiba 293-8511, Japan
Interests: DEM; mixing; segregation; flow

Special Issue Information

Dear Colleagues,

Granular materials are widely used in many industrial fields, such as chemical, material, pharmaceutical, food, steel, and so on. Their characteristics are suitable for unit operations in the production processes, and they are becoming more important. However, their behavior is affected by many factors (surface roughness, particle size, moisture, etc.). Therefore, particle behavior should be understood and controlled in industrial processes to avoid serious problems. The discrete element method (DEM) is one of the most popular and reliable simulation methods for analyzing particle behavior, and it is used for the numerical analysis of many particulate processes. The simulation method applied is not only DEM but also SPH, MPM, etc. Optical and measument techniques, such as high speed cameras and stress sensors, for grasping particle behavior are also developed.

This Special Issue on “Simulation for Analyzing Particle Behavior” will focus on novel advances in the development and application of computational modeling of analyzing particle behavior. Topics include but are not limited to:

  • Development of computational modeling for analyzing particle behavior;
  • Measurement of particle behavior and validation; and
  • Application of simulation of particle behavior, such as mixing, segregation, chute flow, etc.

Dr. Hiroshi Mio
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • numerical analysis
  • DEM
  • SPH
  • MPM
  • CFD
  • powder processing
  • particle segregation
  • particle mixing
  • particle packing
  • chute flow
  • conveying
  • grinding
  • particle shape

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (5 papers)

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Research

22 pages, 7429 KiB  
Article
Simulation and Experiment of Gas-Solid Flow in a Safflower Sorting Device Based on the CFD-DEM Coupling Method
by Zhizheng Hu, Haifeng Zeng, Yun Ge, Wendong Wang and Jiangkun Wang
Processes 2021, 9(7), 1239; https://doi.org/10.3390/pr9071239 - 17 Jul 2021
Cited by 15 | Viewed by 2982
Abstract
To study the movement characteristics and separation mechanism of safflower petals and their impurities under the action of airflow and lower the impurity rate in the cleaning operation process, integration of computational fluid dynamics (CFD) and discrete element method (DEM) codes was performed [...] Read more.
To study the movement characteristics and separation mechanism of safflower petals and their impurities under the action of airflow and lower the impurity rate in the cleaning operation process, integration of computational fluid dynamics (CFD) and discrete element method (DEM) codes was performed to study the motion and sorting behavior of impurity particles and safflower petals under different airflow inclination angles, dust removal angles and inlet airflow velocities by establishing a true particle model. In this model, the discrete particle phase was applied by the DEM software, and the continuum gas phase was described by the ANSYS Fluent software. The Box-Behnken experimental design with three factors and three levels was performed, and parameters such as inlet airflow velocity, airflow inclined angle, and dust remover angle were selected as independent variables that would influence the cleaning impurity rate and the cleaning loss rate. A mathematical model was established, and then the effects of various parameters and their interactions were analyzed. The test results show that the cleaning effect is best when the inlet airflow velocity is 7 m/s, the airflow inclined angle is 0°, and the dust remover angle is 25°. Confirmatory tests showed that the average cleaning impurity rate and cleaning loss rate were 0.69% and 2.75%, respectively, which dropped significantly compared with those from previous optimization. An experimental device was designed and set up; the experimental results were consistent with the simulation results, indicating that studying the physical behavior of safflower petals-impurity separation in the airflow field by using the DEM-CFD coupling method is reliable. This result provides a basis for follow-up studies of separation and cleaning devices for lightweight materials such as safflower petals. Full article
(This article belongs to the Special Issue Simulation for Analyzing Particle Behavior)
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13 pages, 6186 KiB  
Article
Development of Simpler Coarse-Grain Model for Analyzing Behavior of Particles in Fluid Flow
by Kizuku Kushimoto, Kaya Suzuki, Shingo Ishihara, Rikio Soda, Kimihiro Ozaki and Junya Kano
Processes 2021, 9(7), 1098; https://doi.org/10.3390/pr9071098 - 24 Jun 2021
Cited by 7 | Viewed by 2139
Abstract
A new simpler coarse-grain model (SCG) for analyzing particle behaviors under fluid flow in a dilute system, by using a discrete element method (DEM), was developed to reduce calculation load. In the SCG model, coarse-grained (CG) particles were enlarged from original particles in [...] Read more.
A new simpler coarse-grain model (SCG) for analyzing particle behaviors under fluid flow in a dilute system, by using a discrete element method (DEM), was developed to reduce calculation load. In the SCG model, coarse-grained (CG) particles were enlarged from original particles in the same way as the existing coarse-grain model; however, the modeling concept differed from the other models. The SCG model focused on the acceleration by the fluid drag force, and the CG particles’ acceleration coincided with that of the original particles. Consequently, the model imposed only the following simple rule: the product of particle density and squared particle diameter is constant. Thus, the model had features that can be easily implemented in the DEM simulation to comprehend the modeled physical phenomenon. The model was validated by comparing the behaviors of the CG particles with the original particles in the uniform and the vortex flow fields. Moreover, the usability of the SCG model on simulating real dilute systems was confirmed by representing the particle behavior in a classifier. Therefore, the particle behavior in dilute particle-concentration systems would be analyzed more simply with the SCG model. Full article
(This article belongs to the Special Issue Simulation for Analyzing Particle Behavior)
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16 pages, 4752 KiB  
Article
Numerical Simulation of the Aerosol Particle Motion in Granular Filters with Solid and Porous Granules
by Olga V. Soloveva, Sergei A. Solovev and Ruzil R. Yafizov
Processes 2021, 9(2), 268; https://doi.org/10.3390/pr9020268 - 30 Jan 2021
Cited by 8 | Viewed by 2524
Abstract
In this work, a study was carried out to compare the filtering and hydrodynamic properties of granular filters with solid spherical granules and spherical granules with modifications in the form of micropores. We used the discrete element method (DEM) to construct the geometry [...] Read more.
In this work, a study was carried out to compare the filtering and hydrodynamic properties of granular filters with solid spherical granules and spherical granules with modifications in the form of micropores. We used the discrete element method (DEM) to construct the geometry of the filters. Models of granular filters with spherical granules with diameters of 3, 4, and 5 mm, and with porosity values of 0.439, 0.466, and 0.477, respectively, were created. The results of the numerical simulation are in good agreement with the experimental data of other authors. We created models of granular filters containing micropores with different porosity values (0.158–0.366) in order to study the micropores’ effect on the aerosol motion. The study showed that micropores contribute to a decrease in hydrodynamic resistance and an increase in particle deposition efficiency. There is also a maximum limiting value of the granule microporosity for a given aerosol particle diameter when a further increase in microporosity leads to a decrease in the deposition efficiency. Full article
(This article belongs to the Special Issue Simulation for Analyzing Particle Behavior)
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11 pages, 4116 KiB  
Article
Research on Non-Uniform Wear of Liner in SAG Mill
by Wanrong Wu, Haoran Che and Qianhua Hao
Processes 2020, 8(12), 1543; https://doi.org/10.3390/pr8121543 - 26 Nov 2020
Cited by 3 | Viewed by 3113
Abstract
The numerical calculation method is used to analyze the wear of the liner of the general structure of a semi-autogenous mill in the axial direction, and the non-uniform wear of each area of the liner is studied to explore the reasons for said [...] Read more.
The numerical calculation method is used to analyze the wear of the liner of the general structure of a semi-autogenous mill in the axial direction, and the non-uniform wear of each area of the liner is studied to explore the reasons for said wear. The liner is divided into areas along the axial direction, and the discrete element method (DEM) is used to analyze the relationship between the wear volume of each area and the total mass of particles. The composition ratio of the rocks and steel balls in each area, and its relationship with time, are also studied. The results show that the total mass of the particles in the area has a significant effect on the wear of the liner. When the particles are affected by the conical end cover on both sides during the operation of the mill, they will be stratified along the axial direction. The particles with large masses will accumulate on both sides of the mill, and the particles with small masses will be concentrated in the middle of the mill. As a result, the difference between the density and impact energy of rocks and steel balls in each area is caused, and eventually, the mill liner appears to have non-uniform wear. Full article
(This article belongs to the Special Issue Simulation for Analyzing Particle Behavior)
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19 pages, 6229 KiB  
Article
Material Point Method Simulation of the Equation of State of Polymer-Bonded Explosive under Impact Loading at Mesoscale
by Siyu Ge, Wenying Zhang, Jian Sang, Shuai Yuan, Glenn V. Lo and Yusheng Dou
Processes 2020, 8(8), 983; https://doi.org/10.3390/pr8080983 - 13 Aug 2020
Cited by 3 | Viewed by 3336
Abstract
Mesoscale simulation using the material point method (MPM) was conducted to study the pressure–volume (PV) variations of Octahydro-1,3,5,7-Tetranitro-1,2,3,5-Tetrazocine (HMX)/Estane polymer-bonded explosive (PBX) under impact loading. The PV isotherms and Hugoniot data were calculated for the different porosities and binder volume fractions. The PV [...] Read more.
Mesoscale simulation using the material point method (MPM) was conducted to study the pressure–volume (PV) variations of Octahydro-1,3,5,7-Tetranitro-1,2,3,5-Tetrazocine (HMX)/Estane polymer-bonded explosive (PBX) under impact loading. The PV isotherms and Hugoniot data were calculated for the different porosities and binder volume fractions. The PV isotherms were used to determine the parameters for the Birch– Murnaghan equation of state (EOS) for the PBX. From the EOS, the isothermal bulk modulus (K0) and its pressure derivative (K′0) were calculated. Additionally, the pseudo particle velocity and pseudo shock velocity variations were used to obtain the bulk wave speed c and dimensionless coefficient s for the Mie–Grüneisen EOS. The simulations provide an alternative approach for determining an EOS that is consistent with experimental observations. Full article
(This article belongs to the Special Issue Simulation for Analyzing Particle Behavior)
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