𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Combustion of single carbon particles in a fast fluidized bed of fine solids

✍ Scribed by P. Basu; P.K. Halder

Publisher
Elsevier Science
Year
1989
Tongue
English
Weight
957 KB
Volume
68
Category
Article
ISSN
0016-2361

No coin nor oath required. For personal study only.

✦ Synopsis

Spherical electrode carbon particles were used to study the mechanism of combustion of coarse carbon particles (diameter between 5 and 9mm) in a circulating fluidized bed. Experiments were conducted in a 102mm diameter and 5.5m tall circulating fluidized bed made of stainless steel. Tests on burning rates indicate the combustion to be a combined process of chemical kinetics and mass transfer. A model is proposed to predict the instantaneous diameter, particle temperature and burning rate of a single carbon particle as it burns in a fast bed of fine solids.

πŸ“œ SIMILAR VOLUMES

Modelling of fluidized bed reactorsβ€”V Co
Modelling of fluidized bed reactorsβ€”V Combustion of carbon particlesβ€”an extension
✍ Alfredo L. Gordon; Hugo S. Caram; Neal R. Amundson πŸ“‚ Article πŸ“… 1978 πŸ› Elsevier Science 🌐 English βš– 915 KB

Absbmet-The problem of the bur&ng of carbon particles in a fluId& bed m which oxygen and carbon dtoxlde react at the surface of the park&s and the carbon monolude produced bums m both the dilute phase and mterstlhal gas of the dense phase usmg the DavIdson-HarrIson model IS solved The numerkal solut

Application of neural networks to mass-t
Application of neural networks to mass-transfer predictions in a fast fluidized bed of fine solids
✍ Piroz Zamankhan; Pekka Malinen; Hannu LepomΓ€ki πŸ“‚ Article πŸ“… 1997 πŸ› American Institute of Chemical Engineers 🌐 English βš– 626 KB

In this study back-propagation, feed-forward neural networks are applied to estimate mass-transfer parameters in fast fluidized beds of fine solids. These networks are trained to predict mass-transfer rates using measurements of the sublimation rate of coarse naphthalene balls in fast fluidized beds