DEM simulation of aggregation of suspended nanoparticles

Peng, Zhengbiao; Doroodchi, Elham; Evans, Geoffrey M.

doi:10.1016/j.powtec.2010.07.023

Cited by 84 publications

(56 citation statements)

References 38 publications

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“…This method should be capable of simulating the movement, collision and contact between particles. This procedure was known as DEM and since then it has been improved till became essential in all physical problems involving particle movement whatever their size, from big rocks of several tons (Psycharis et al, 2011) to microscopic nanoparticles (Peng et al, 2010).…”

Section: Discrete Element Methodsmentioning

confidence: 99%

Present and future of the numerical methods in buildings and infrastructures areas of biosystems engineering

Ayuga

2015

J Agricult Engineer

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Biosystem engineering is a discipline resulting from the evolution of the traditional agricultural engineering to include new engineering challenges related with biological systems, from the cell to the environment. Modern buildings and infrastructures are needed to satisfy crop and animal production demands. In this paper a review on the status of numerical methods applied to solve engineering problems in the field of buildings and infrastructures in biosystem engineering is presented. The history and basic background of the finite element method is presented. This is the first numerical method implemented and also the more developed one. The history and background of other two more recent methods, with practical applications, the computer fluids dynamics and the discrete element method are also presented. Besides, a review on the scientific and professional applications on the field of buildings and infrastructures for biosystem engineering needs is presented. Today we can simulate engineering problems with solids, engineering problems with fluids and engineering problems with particles and get to practical solutions faster and cheaper than in the past. The paper encourages young engineers and researchers to make progress these tools and their engineering applications. The capacities of all numerical methods in their present development status go beyond the present practical applications. There is a broad field to work on it. IntroductionThe present paper is a review of the numerical methods at present and their applications in solving engineering problems. The field is too wide to be considered in a single article. This is why the paper focuses on presenting the fundamentals of the most significant numerical methods that can be applied for buildings and infrastructures areas of biosystems engineering. The three next numerical methods will be considered: i) finite element method (FEM); ii) computer fluid dynamics (CFD); iii) discrete element method (DEM).In the paper the main features of these methods will be presented along with showing some examples in areas of biosystems engineering. Modern engineering can be considered to begin with the industrial revolution in the late eighteenth and early nineteenth century. From the very beginning, it has used the most powerful mathematical tools of the time in order to solve problems arising in practice. It was considered a fact that it was essential acquiring solid mathematical foundations for being a good engineer. The programs of studies from all Universities of the time prove it so. Even great figures on mathematics of the nineteenth and twentieth centuries were formally engineers. This symbiosis has produced good results for society. In the second half of XX Century, the fast development of computer science produced a great advance in numerical methods applied to physics and engineering.Based on this premise, the predictable future is that calculation and structural analysis in all fields of engineering will be based on modern numerical methods. This power...

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Section: Discrete Element Methodsmentioning

confidence: 99%

Present and future of the numerical methods in buildings and infrastructures areas of biosystems engineering

Ayuga

2015

J Agricult Engineer

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“…f s,i are the total surface force between particle i and surrounding particles. f f,i is viscous fluid force [4] and f b,i is the Brownian random force [8]. T i is the total torque, comprising the components caused by the tangential contact force and by the rolling resistance.…”

Section: Dem Simulation Of Aggregation Processmentioning

confidence: 99%

“…T i is the total torque, comprising the components caused by the tangential contact force and by the rolling resistance. The developed equations for the forces and torques have been detailed previously by Peng et al [4][5][6]. For brevity, only the viscous fluid force and inter-particle forces are given below.…”

Section: Dem Simulation Of Aggregation Processmentioning

confidence: 99%

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A method for calculating the surface area of numerically simulated aggregates

Peng

Doroodchi

Sathe

et al. 2015

Advanced Powder Technology

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“…Similarly the DEM approach has been successfully applied by Peng et al [5] who developed a 2D in house DEM-based model to simulate nano-particle aggregation in a quiescent suspension influenced by an external alternating electrical field, over a broad pH range. Random Brownian diffusion and di-electrophoresis physics were implemented along with the standard DLVO forces.…”

Section: Introductionmentioning

confidence: 99%

Using the DEM-CFD method to predict Brownian particle deposition in a constricted tube

Chaumeil

Crapper

2014

Particuology

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The modelling of the agglomeration and deposition on a constricted tube collector of colloidal size particles immersed in a liquid is investigated using the Discrete Element Method (DEM). The ability of this method to model surface interactions allows the modelling of particle agglomeration and deposition at the particle scale.The numerical model adopts a mechanistic approach to represent the forces involved in colloidal suspension by including near wall drag retardation, surface interaction and Brownian forces. The model is implemented using the commercially available DEM package EDEM 2.3®, so that results can be replicated in a standard and user-friendly framework. The effect of various particle-tocollector size ratios, inlet fluid flow-rates and particle concentrations are examined and it is found that deposition efficiency is strongly dependent on inter-relation of these parameters.

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DEM simulation of aggregation of suspended nanoparticles

Cited by 84 publications

References 38 publications

Present and future of the numerical methods in buildings and infrastructures areas of biosystems engineering

Present and future of the numerical methods in buildings and infrastructures areas of biosystems engineering

A method for calculating the surface area of numerically simulated aggregates

Using the DEM-CFD method to predict Brownian particle deposition in a constricted tube

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