Numerische Simulation des lokalen Impulsaustausches in Kugelschüttungen

Debus, Kristian; Nirschl, Hermann; Delgado, Antonio; Denk, V.

doi:10.1002/cite.330700411

Cited by 12 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several other groups have studied fluid flow in discrete particle beds. Esterl et al (1998) and Debus et al (1998) applied a computational code by Nirschl et al (1995) to find flow profiles, using an adapted chimera grid. This grid consisted of a structured grid, based on the flowing medium, which was overlaid by a separate structured grid, based on the packing particles.…”

Section: Introductionmentioning

confidence: 99%

CFD study of fluid flow and wall heat transfer in a fixed bed of spheres

2004

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

CFD study of fluid flow and wall heat transfer in a fixed bed of spheres

2004

View full text Add to dashboard Cite

“…The code was validated with the classical approximations by Darcy (1856), Ergun (1952) and Molerus (1977). The agreement between the numerical results and the analytical expression is quite well (Debus, 1998;Debus et al, 1998). Fig.…”

Section: Numerical Simulation Of Local Momentum Transfer In Packed Bedsmentioning

confidence: 85%

Overlapping grids for the simulation of particle interaction at the micro scale

Nirschl

2005

China Particuology

Self Cite

View full text Add to dashboard Cite

This paper describes the use of overlapping grids for the calculation of flow around single and multipleparticle configurations at the micro scale. The basic equations for calculation are those for conservation of mass and momentum which are solved using a common Finite-Volume formulation. The hydrodynamic particle-particle and particle-wall interaction can be calculated by using an overlapping or Chimera grid scheme. With the grid structuring procedure it is possible to use simple and structured grids around the particles and the overall main grid geometry. The particle grids are lapped over the main grid such that they can move independently after each time step without remeshing the whole geometry. The paper gives results for the validation of the code developed for general test cases, for a rotating ellipsoid in simple shear flow, the flow around particles attached to a wall, the motion of a particle in the vicinity of a wall and some results for the flow through a packed bed configuration.

show abstract

“…Meanwhile it is possible to simulate complex geometries of packings without simplifications [67,[125][126][127][128][129][130] . Even though the governing equations are relatively simple for laminar flows (Section 6.6.1), this approach can only be applied for small and periodic regions of the reactor due to the huge number of computational cells.…”

Section: Fixed Bed Reactorsmentioning

confidence: 99%

Computational Fluid Dynamics Simulation of Catalytic Reactors

Deutschmann

2008

Handbook of Heterogeneous Catalysis

View full text Add to dashboard Cite

Catalytic reactors are generally characterized by the complex interaction of various physical and chemical processes. Monolithic reactors can serve as example, in which partial oxidation and reforming of hydrocarbons, combustion of natural gas, and the reduction of pollutant emissions from automobiles are frequently carried out. Figure 1 illustrates the physics and chemistry in a catalytic combustion monolith that glows at a temperature of about 1300 K due to the exothermic oxidation reactions. In each channel of the monolith, the transport of momentum, energy, and chemical species occurs not only in flow (axial) direction, but also in radial direction. The reactants diffuse to the inner channel wall, which is coated with the catalytic material, where the gaseous species adsorb and react on the surface. The products and intermediates desorb and diffuse back into the bulk flow. Due to the high temperatures, the chemical species may also react homogeneously in the gas phase. In catalytic reactors, the catalyst material is often dispersed in porous structures like washcoats or pellets. Mass transport in the fluid phase and chemical reactions are then superimposed by diffusion of the species to the active catalytic centers in the pores. The temperature distribution depends on the interaction of heat convection and conduction in the fluid, heat release due to chemical reactions, heat transport in the solid material, and thermal radiation. If the feed conditions vary in time and space and/or heat transfer occurs between the reactor and the ambience, a non-uniform temperature distribution over the entire monolith will result, and the behavior will differ from channel to channel.Today, the challenge in catalysis is not only the development of new catalysts to synthesize a desired product, but also the understanding of the interaction of the catalyst with the surrounding reactive flow field. Sometimes, the exploitation of these interactions can lead to

show abstract

Numerische Simulation des lokalen Impulsaustausches in Kugelschüttungen

Cited by 12 publications

References 8 publications

CFD study of fluid flow and wall heat transfer in a fixed bed of spheres

CFD study of fluid flow and wall heat transfer in a fixed bed of spheres

Overlapping grids for the simulation of particle interaction at the micro scale

Computational Fluid Dynamics Simulation of Catalytic Reactors

Contact Info

Product

Resources

About