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Govender N, ka RK, Khinast J. The influence of cohesion on polyhedral shapes during mixing in a drum. Chem Eng Sci 2023. [DOI: 10.1016/j.ces.2023.118499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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2
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Investigation of impacts of particle shape on mixing in a twin paddle blender using GPU-based DEM and experiments. POWDER TECHNOL 2023. [DOI: 10.1016/j.powtec.2023.118259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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3
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Naderi S, Zhang M. An integrated framework for modelling virtual 3D irregulate particulate mesostructure. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2019.07.089] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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4
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Investigating the effect of particle shape on the charging process in melter gasifiers in COREX. POWDER TECHNOL 2019. [DOI: 10.1016/j.powtec.2019.04.040] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Pachón-Morales J, Do H, Colin J, Puel F, Perré P, Schott D. DEM modelling for flow of cohesive lignocellulosic biomass powders: Model calibration using bulk tests. ADV POWDER TECHNOL 2019. [DOI: 10.1016/j.apt.2019.01.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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6
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Cai R, Xu L, Zheng J, Zhao Y. Modified cell-linked list method using dynamic mesh for discrete element method. POWDER TECHNOL 2018. [DOI: 10.1016/j.powtec.2018.09.034] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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7
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Govender N, Wilke DN, Wu CY, Rajamani R, Khinast J, Glasser BJ. Large-scale GPU based DEM modeling of mixing using irregularly shaped particles. ADV POWDER TECHNOL 2018. [DOI: 10.1016/j.apt.2018.06.028] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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8
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Semi-analytical models of non-spherical particle shapes using optimised spherical harmonics. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.07.031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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9
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Khazeni A, Mansourpour Z. Influence of non-spherical shape approximation on DEM simulation accuracy by multi-sphere method. POWDER TECHNOL 2018. [DOI: 10.1016/j.powtec.2018.03.030] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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10
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You Y, Zhao Y. Discrete element modelling of ellipsoidal particles using super-ellipsoids and multi-spheres: A comparative study. POWDER TECHNOL 2018. [DOI: 10.1016/j.powtec.2018.03.017] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Zhong W, Yu A, Liu X, Tong Z, Zhang H. DEM/CFD-DEM Modelling of Non-spherical Particulate Systems: Theoretical Developments and Applications. POWDER TECHNOL 2016. [DOI: 10.1016/j.powtec.2016.07.010] [Citation(s) in RCA: 334] [Impact Index Per Article: 41.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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12
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Permeability of powder beds formed from spray dried dairy powders in relation to morphology data. POWDER TECHNOL 2016. [DOI: 10.1016/j.powtec.2016.05.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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14
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Vollmari K, Jasevičius R, Kruggel-Emden H. Experimental and numerical study of fluidization and pressure drop of spherical and non-spherical particles in a model scale fluidized bed. POWDER TECHNOL 2016. [DOI: 10.1016/j.powtec.2015.11.045] [Citation(s) in RCA: 93] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Akhshik S, Behzad M, Rajabi M. Simulation of the interaction between nonspherical particles within the CFD–DEM framework via multisphere approximation and rolling resistance method. PARTICULATE SCIENCE AND TECHNOLOGY 2015. [DOI: 10.1080/02726351.2015.1089348] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Lu G, Third J, Müller C. Discrete element models for non-spherical particle systems: From theoretical developments to applications. Chem Eng Sci 2015. [DOI: 10.1016/j.ces.2014.11.050] [Citation(s) in RCA: 335] [Impact Index Per Article: 37.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Li H, Lee A, Fan J, Yeoh GH, Wang J. On DEM–CFD study of the dynamic characteristics of high speed micro-abrasive air jet. POWDER TECHNOL 2014. [DOI: 10.1016/j.powtec.2014.07.018] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Xu W, Chen H, Liu L. Evaluation of Mesostructure of Particulate Composites by Quantitative Stereology and Random Sequential Packing Model of Mono-/Polydisperse Convex Polyhedral Particles. Ind Eng Chem Res 2013. [DOI: 10.1021/ie3025449] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Wenxiang Xu
- Jiangsu
Key Laboratory of Construction Materials, School of Materials Science
and Engineering, Southeast University,
Nanjing 211189, China
- Institute
of Soft Matter Mechanics,
College of Mechanics and Materials, Hohai University, Nanjing 210098, China
| | - Huisu Chen
- Jiangsu
Key Laboratory of Construction Materials, School of Materials Science
and Engineering, Southeast University,
Nanjing 211189, China
| | - Lin Liu
- College of Civil and Transportation
Engineering, Hohai University, Nanjing
210098, China
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Höhner D, Wirtz S, Scherer V. Experimental and numerical investigation on the influence of particle shape and shape approximation on hopper discharge using the discrete element method. POWDER TECHNOL 2013. [DOI: 10.1016/j.powtec.2012.11.004] [Citation(s) in RCA: 100] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Höhner D, Wirtz S, Scherer V. A numerical study on the influence of particle shape on hopper discharge within the polyhedral and multi-sphere discrete element method. POWDER TECHNOL 2012. [DOI: 10.1016/j.powtec.2012.03.041] [Citation(s) in RCA: 103] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Xu W, Chen H. Mesostructural characterization of particulate composites via a contact detection algorithm of ellipsoidal particles. POWDER TECHNOL 2012. [DOI: 10.1016/j.powtec.2012.01.016] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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22
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Comparison of the multi-sphere and polyhedral approach to simulate non-spherical particles within the discrete element method: Influence on temporal force evolution for multiple contacts. POWDER TECHNOL 2011. [DOI: 10.1016/j.powtec.2011.01.003] [Citation(s) in RCA: 125] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Kodam M, Bharadwaj R, Curtis J, Hancock B, Wassgren C. Cylindrical object contact detection for use in discrete element method simulations, Part II—Experimental validation. Chem Eng Sci 2010. [DOI: 10.1016/j.ces.2010.08.007] [Citation(s) in RCA: 78] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Ketterhagen WR, am Ende MT, Hancock BC. Process modeling in the pharmaceutical industry using the discrete element method. J Pharm Sci 2009; 98:442-70. [PMID: 18563797 DOI: 10.1002/jps.21466] [Citation(s) in RCA: 152] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The discrete element method (DEM) is widely used to model a range of processes across many industries. This paper reviews current DEM models for several common pharmaceutical processes including material transport and storage, blending, granulation, milling, compression, and film coating. The studies described in this review yielded interesting results that provided insight into the effects of various material properties and operating conditions on pharmaceutical processes. Additionally, some basic elements common to most DEM models are overviewed. A discussion of some common model extensions such as nonspherical particle shapes, noncontact forces, and interstitial fluids is also presented. While these more complex systems have been the focus of many recent studies, considerable work must still be completed to gain a better understanding of how they can affect the processing behavior of bulk solids.
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Affiliation(s)
- William R Ketterhagen
- Pharmaceutical Research and Development, Pfizer Inc, Groton, Connecticut 06340, USA.
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Zhu H, Zhou Z, Yang R, Yu A. Discrete particle simulation of particulate systems: A review of major applications and findings. Chem Eng Sci 2008. [DOI: 10.1016/j.ces.2008.08.006] [Citation(s) in RCA: 1031] [Impact Index Per Article: 64.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Fraige FY, Langston PA, Chen GZ. Distinct element modelling of cubic particle packing and flow. POWDER TECHNOL 2008. [DOI: 10.1016/j.powtec.2007.12.009] [Citation(s) in RCA: 98] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Munjiza A, Latham JP. Some computational and algorithmic developments in computational mechanics of discontinua. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2004; 362:1817-1833. [PMID: 15306417 DOI: 10.1098/rsta.2004.1418] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Discontinua simulations are becoming an important part of computational mechanics to the extent that computational mechanics of discontinua is becoming a separate sub-discipline of computational mechanics. Among the most widely used methods of computational mechanics of discontinua are discrete-element methods, combined finite-discrete-element methods and discontinuum deformation analysis methods. A range of key algorithmic procedures is common to most of these methods. These include contact detection, explicit solvers, fracture and fragmentation models, handling of complex geometric considerations when processing interaction in three dimensions (contact kinematics) and fluid coupling. In recent years, there have been major breakthroughs in almost all of these key algorithmic aspects. These include linear contact-detection procedures (NBS, C-grid), discretized contact solutions, fracture and fragmentation solutions, together with fluid pressure driven fracture process and three-dimensional explicit solvers incorporating finite rotations. Many of these breakthroughs have not yet been applied across the full range of relevant discontinuum problems. The major reason for this is that discrete-element method, discontinuum deformation analysis and combined finite-discrete-element method publications are spread over a wide range of specialist journals and conferences. Thus in this paper, the main features of a selection of algorithmic breakthroughs are reviewed for the first time, enabling researchers in different fields to apply these compatible developments to their specific applications.
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Affiliation(s)
- A Munjiza
- Department of Engineering, Queen Mary, University of London, Mile End Road, London E1 4NS, UK.
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Richards K, Bithell M, Dove M, Hodge R. Discrete-element modelling: methods and applications in the environmental sciences. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2004; 362:1797-1816. [PMID: 15306416 DOI: 10.1098/rsta.2004.1429] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
This paper introduces a Theme Issue on discrete-element modelling, based on research presented at an interdisciplinary workshop on this topic organized by the National Institute of Environmental e-Science. The purpose of the workshop, and this collection of papers, is to highlight the opportunities for environmental scientists provided by (primarily) off-lattice methods in the discrete-element family, and to draw on the experiences of research communities in which the use of these methods is more advanced. Applications of these methods may be conceived in a wide range of situations where dynamic processes involve a series of fundamental entities (particles or elements) whose interaction results in emergent macroscale structures. Indeed, the capacity of these methods to reveal emergent properties at the meso- and macroscale, that reflect microscale interactions, is a significant part of their attraction. They assist with the definition of constitutive material properties at scales beyond those at which measurement and theory have been developed, and help us to understand self-organizing behaviours. The paper discusses technical issues including the contact models required to represent collision behaviour, computational aspects of particle tracking and collision detection, and scales at which experimental data are required and choices about modelling style must be made. It then illustrates the applicability of DEM and other forms of individual-based modelling in environmental and related fields as diverse as mineralogy, geomaterials, mass movement and fluvial sediment transport processes, as well as developments in ecology, zoology and the human sciences where the relationship between individual behaviour and group dynamics can be explored using a partially similar methodological framework.
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Affiliation(s)
- Keith Richards
- Department of Geography, University of Cambridge, Cambridge CB2 3EN, UK.
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