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Structural evolution in the packing of uniform spheres

Physical Review E 2014年第3期89卷 032202-032202页

作者： Z. A. Tian K. J. Dong A. B. Yu []Laboratory for Simulation and Modelling of Particulate Systems School of Materials Science and Engineering University of New South Wales Sydney NSW 2052 Australia

Structural analysis is very important to understanding the physics of atomic or particle systems of various types. However, properly characterizing the structures at different packing fraction ρ is still a challenge. Here we analyze the local structure, in terms of the so-called common-neighbor-subcluster (CNS), of sphere packings with ρ ∈ (0.2, 0.74). We show that although complicated in structure, there are totally 39 kinds of CNSs of which 12 are dominant. The evolution of these CNSs with the increase of ρ is quantified, and the rules governing the evolution are explored. The results are found to be useful in constructing a comprehensive picture about the critical states and their transition in sphere packing.

关键词： STRUCTURAL analysis (Engineering) PACKING fractions UNIFORM spaces PHASE transformations (Physics) MICROCLUSTERS CRITICAL point ATOMS

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Application of DEM modelling to grinding processes

Application of DEM modelling to grinding processes

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World Congress on Intelligent Control and Automation (WCICA)

作者： R.Y. Yang C.T. Jayasundara A.B. Yu Laboratory for Simulation and Modelling of Particulate Systems University of New South Wales Sydney NSW Australia

Understanding energy utilisation in grinding is critical to the process optimisation. In this paper, we demonstrated that the discrete element method (DEM) modelling, when combined with experimental measurements, can provide more realistic and reliable description of grinding processes. By incorporating particle grindability from experiments and energy condition from DEM simulations into a population balance model (PBM), we developed a multi-scale framework to predict mill performance. The model can be an invaluable tool in the design, control and optimisation of grinding processes.

关键词： Loading Media Powders Force Atmospheric modeling Predictive models Minerals

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Engineering Nanoparticles for Energy and Environmental Applications

Engineering Nanoparticles for Energy and Environmental Appli...

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主题：引领工业革命新浪潮——2014第四届国际纳米科技大会

作者： Xuchuan Jiang Laboratory for Simulation and Modelling of Particulate Systems (SIMPAS)School of Materials Science and Engineering The University of New South Wales

Energy and environment have emerged as the most critical challenges to the sustainable global developments in the 21st century. Nanomaterials have attracted much more attention because of their unique ftmctional properties and broad applications in energy and environment. This presentation is going to talk about how to engineer nanoparticles for energy and environmental applications, through the development of synthesis strategies of metal oxide nanoparticles, fundamental understandings of particle growth and understanding the relationship between structure and functions, specificallyfocusing on gas sensors, smart window coatings and self-cleaning films in this talk.

关键词： Engineering Nanoparticles for Energy and Environmental Applications

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Effect of gravity on particle dispersion in a horizontally vibrating bed

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AIP Conference Proceedings 2013年第1期1542卷 823-826页

作者： Kejun Dong Kunio Shinohara Aibing Yu Laboratory for Computer Simulation and Modelling of Particulate Systems University of New South Wales Australia Particulate Chemical Eng. Laboratory Sapporo Japan

Particle dispersion in a horizontally vibrated vessel under microgravity is investigated by a discrete element method (DEM) based numerical model. The vessel is specially designed with the top corners being round shaped, which is to direct the particles inside under microgravity for outer space applications. The effect of gravity is particularly examined by a series of controlled numerical experiments. The dependence of the structure and dynamics of the system, in terms of spatial distribution, local packing density, velocity distribution and kinetic energy, on the magnitude of gravity are quantified. It is found that with the increase of gravity, more particles accumulate on the longitudinal walls, whereas the convective flow of the dispersed particles always exists, until the gravity reaches a certain value and most particles cannot be agitated. The round corner affects the local flow pattern but has limited effects on the overall system with the variance of gravity.

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CFD modelling in Blast Furnace Ironmaking

CFD Modelling in Blast Furnace Ironmaking

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第九届中国钢铁年会

作者： Yansong Shen Aibing Yu Laboratory for Simulation and Modelling of Particulate Systems School of Materials Science and EngineeringThe University of New South Wales

Steel industry is one of the most energy-intensive industries,accounting for % of world greenhouse gas *** processes account for 0% of emissions in a steel *** understanding and optimization of blast furnace process is important in order to be competitive and sustainable under increasingly demanding *** modelling,facilitated by physical modelling,provides a cost-effective way for process design and *** particular,CFD modelling is widely used in academia and industry for its efficiency and *** study will discuss the role of CFD-based process models in the development of new technology for sustainable *** examples are used:modelling of a recent technologypulverized coal injection (Fig.1);and modelling of the whole blast furnace operation (Fig.2).It is demonstrated that CFD modelling indeed plays a significant role in process understanding and optimization,important to sustainable blast furnace ironmaking.

关键词： ironmaking blast furnace CFD

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Contact analysis of different flow regimes in gas fluidization

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AIP Conference Proceedings 2013年第1期1542卷 1106-1109页

作者： Q. F. Hou Z. Y. Zhou A. B. Yu Laboratory for Simulation and Modelling of Particulate Systems School of Materials Science and Engineering The University of New South Wales Sydney NSW 2052 Australia

The particle contacts in different particle-fluid flow regimes, such as fixed, expanded and fluidized beds, in gas fluidization are investigated for group A and B powders by means of a combined approach of computational fluid dynamics anddiscrete element method. To establish the connection between macroscopic and microscopic descriptions of complex particle-fluid flows, focus is given to the correlation between coordination number (CN) and porosity (ε). It is found that the CN-ε relationship for group A powders has a transitional point between the expanded and fluidized bed flow regimes at a bulk scale, unlike group B powders. A new phase diagram is established in terms of CN-ε relationship that has two branches representing expanded and fluidized (bed) states.

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Analysis of Voronoi clusters in the packing of uniform spheres

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AIP Conference Proceedings 2013年第1期1542卷 353-356页

作者： C. C. Wang K. J. Dong A. B. Yu Laboratory for Simulation and Modelling of Particulate Systems School of Materials Science and Engineering University of New South Wales Sydney NSW 2052 Australia

This paper presents a structural analysis on the packing of monosized spheres in terms of Voronoi clusters. The packings considered were generated by the discrete element method, with packing densities ranging from 0.2 to 0.74. The Voronoi clusters are composed of center particles and their neighbouring particles, which can be used to characterize the local packing structures in terms of the topological connections between particles, to be beyond the metric and topological properties of individual polyhedra as done previously. The types and distribution of clusters, together with coordination number and common geometrical neighbours determined by Voronoi polyhedra are quantified as a function of packing density. Random close packing is shown to correspond to a turning point of these evolutions.

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Computational study of heat transfer in gas fluidization

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AIP Conference Proceedings 2013年第1期1542卷 1114-1117页

Heat transfer in gas fluidization is investigated at a particle scale by means of a combined discrete element method and computational fluid dynamicsapproach. To develop understanding of heat transfer at various conditions, the effects of a few important material properties such as particle size, the Hamaker constant and particle thermal conductivity are examined through controlled numerical experiments. It is found that the convective heat transfer is dominant, and radiative heat transfer becomes important when the temperature is high. Conductive heat transfer also plays a role depending on the flow regimes and material properties. The heat transfer between a fluidized bed and an immersed surface is enhanced by the increase of particle thermal conductivity while it is little affected by Young’s modulus. The findings should be useful for better understanding and predicting the heat transfer in gas fluidization.

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A method for structural analysis of disordered particle systems

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AIP Conference Proceedings 2013年第1期1542卷 373-376页

作者： Z. A. Tian K. J. Dong A. B. Yu Laboratory for Simulation and Modelling of Particulate Systems School of Materials Science and Engineering University of New South Wales Sydney NSW 2052 Australia

We present a brief overview of a method which can identify different 3D local structures in ordered and disordered systems. Its effectiveness is demonstrated in the analysis of the structures of sphere packings, the structural evolution of a rapid cooling process of silver liquid, and the inner structure of a metal nanocluster. Quantifying local structures by means of a topological criterion, this method is parameter-free and scale-independent, and can generally be used for structural analysis of amorphous systems involving atoms or particles at different length scales.

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