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See detailCoupled CFD-DEM with Heat and Mass transfer to Investigate the Melting of a Granular Packed Bed
Baniasadi, Mehdi UL; Baniasadi, Maryam UL; Peters, Bernhard UL

in Chemical Engineering Science (2017)

The eXtended Discrete Element Method (XDEM) platform which is a Coupled Eulerian-Lagrangian framework with heat and mass transfer, is extended for melting of granular packed beds. In this method, the ... [more ▼]

The eXtended Discrete Element Method (XDEM) platform which is a Coupled Eulerian-Lagrangian framework with heat and mass transfer, is extended for melting of granular packed beds. In this method, the fluid is simulated by computational fluid dynamics (CFD) and the soft-sphere discrete element approach (DEM) is used for the particle system. A four-way coupling accounts for solid-liquid interaction via drag and buoyancy forces and the collisions between the particles and the walls. The contact forces between the particles and wall-particle contacts have been calculated by the hertz-mindlin model. The particles heat up, melt and shrink due to heat and mass exchange, and the temperature distributions inside the particles are described. In order to validate the method, melting of a single ice particle and of a packed bed of ice in flowing water have been carried out. Very good agreement between the simulation and experiment has been achieved. The effects of the temperature and velocity of flowing water on melting rate are also discussed. [less ▲]

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See detailEffects of particle size distribution on drying characteristics in a drum by XDEM: A case study
Mohseni, Seyedmohammad UL

in Chemical Engineering Science (2016), 152

The objective of this study is analysis of drying process of wet woody particles in a circulating cylinder including dynamics investigation of moving particles by eXtended Discrete Element Method (XDEM ... [more ▼]

The objective of this study is analysis of drying process of wet woody particles in a circulating cylinder including dynamics investigation of moving particles by eXtended Discrete Element Method (XDEM). In this approach, the particles are resolved as discrete phase coupled via heat, mass and momentum transfer to the surrounding gas phase. The drying of a spherical single particle is validated with experiments for different particle diameter and the temperature behavior during drying is investigated in addition to the moisture content and drying rate of the particle so that the comparisons show a good agreement meaning XDEM is a reliable tool to simulate drying process. The test case is a cylinder rotating with a constant angular velocity including a bed of moist wood particles. The main focus of this work is evaluating the effect of particle size distribution on drying rate and heat loss in the system. Furthermore, the influence of the inlet gas temperature and velocity on the particle bed mean temperature and moisture content is investigated. Eventually, the surface temperature distribution of particles in different instances during drying is visually demonstrated and the behavior of surface area on residence time is discussed. [less ▲]

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See detailModeling of the biomass combustion on a forward acting grate using XDEM
Mahmoudi, Amir Houshang UL; Besseron, Xavier UL; Hoffmann, F. et al

in Chemical Engineering Science (2016), 142

The grate firing system is one of the most common ways for the combustion of biomass because it is able to burn a broad range of fuels with only little or even no requirement for fuel preparation. In ... [more ▼]

The grate firing system is one of the most common ways for the combustion of biomass because it is able to burn a broad range of fuels with only little or even no requirement for fuel preparation. In order to improve the fuel combustion efficiency, it is important to understand the details of the thermochemical process in such furnaces. However, the process is very complex due to many involved physical and chemical phenomena such as drying, pyrolysis, char combustion, gas phase reaction, two phase flow and many more. The main objective of this work is to study precisely the involved processes in biomass combustion on a forward acting grate and provide a detailed insight into the local and global conversion phenomena. For this purpose, XDEM as an Euler-Lagrange model is used, in which the fluid phase is a continuous phase and each particle is tracked with a Lagrangian approach. The model has been compared with experimental data. Very good agreements between simulation and measurement have been achieved, proving the ability of the model to predict the biomass combustion under study on the grate. © 2015 Elsevier Ltd. [less ▲]

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See detailExperimental and numerical investigation into iron ore reduction in packed beds
Peters, Bernhard UL; Hoffmann, F.; Senk, D. et al

in Chemical Engineering Science (2015)

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See detailExperimental and numerical investigation into the residence time distribution of granular particles on forward and reverse acting grate
Samiei, Kasra UL; Peters, Bernhard UL

in Chemical Engineering Science (2013)

Forward andreverseactinggratesarewidelyemployedinwaste-to-energyplants.Inordertopredict the motionofsolidgranularparticlesandoptimisethedesignofsuchsystems,DiscreteElement Method(DEM)isincreasinglyused ... [more ▼]

Forward andreverseactinggratesarewidelyemployedinwaste-to-energyplants.Inordertopredict the motionofsolidgranularparticlesandoptimisethedesignofsuchsystems,DiscreteElement Method(DEM)isincreasinglyused.Theobjectiveofthispaperistopredictthedynamicsofgranular particlesonforwardandreverseactinggratesbyapplyingDEM.Theresidencetimedistributionofsolid particlesisanalysedbyDEMandcomparedwithexperimentalresultsinapilotplantexcluding combustion.TheresultsindicateaverygoodconsistencybetweenDEMandexperimentalresults, highlightingthepromisingcapabilitiesofDEMinpredictingthedynamicsofgranularparticlesingrate systems.CouplingDEMwithcomputationalfluiddynamicstechniquescanfurtheradvancethemethod to accountforthermalconversionofsolidfuelsinfuturework. [less ▲]

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See detailAn approach to qualify the intensity of mixing on a forward acting grate.
Peters, Bernhard UL; Dziugys, Algis; Hunsinger, H. et al

in Chemical Engineering Science (2005), (60/6), 1649-1659

Detailed reference viewed: 101 (0 UL)