The work involves experimentation on drying of solids in a continuous fluidized bed dryer covering different variables like bed temperature, gas flow rate, solids flow rate and initial moisture content of solids. The data are modeled using artificial neural networks. The results obtained from artifi
Investigation of artificial neural network methodology for modeling of a liquid–solid circulating fluidized bed riser
✍ Scribed by Shaikh A. Razzak; Syed M. Rahman; Mohammad M. Hossain; Jesse Zhu
- Book ID
- 116843903
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 626 KB
- Volume
- 229
- Category
- Article
- ISSN
- 0032-5910
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
## Abstract A dual‐particle liquid–solid circulating fluidized bed (DP‐LSCFB) bioreactor has been constructed and investigated for the simultaneous production and extraction of lactic acid using immobilized Lactobacillus bulgaricus and ion‐exchange resins. The apparatus consisted of a downer fluidi
Radial solids velocity profiles were computed on seven axial levels in the riser of a high-flux circulating fluidized bed (HFCFB) using a twophase 3-D computational fluid dynamics model. The computed solids velocities were compared with experimental data on a riser with an internal diameter of 76 mm
## Abstract Liquid–solid circulating fluidized bed (LSCFB) is an integrated two‐column (downcomer and riser) system which can accommodate two separate processes (adsorption and desorption) in the same unit with continuous circulation of the solid particles between the two columns. In this study, a