Abstract
This communication presents the application of Multigene Genetic Programming, a new soft computing technique to investigate the effects of particle size on hydrodynamics behavior of a liquid-solid circulating fluidized bed (LSCFB) riser. The Multigene Genetic Programming based model is developed/trained based on experimental data collected from a pilot scale LSCFB reactor using two different size glass beads (500 and 1200 μm) as solid phase and water as liquid phase. The trained Genetic Programming model successfully predicted experimental phase holdups of the LSCFB riser under different operating parameters. It is observed that the model predicted cross-sectional average of solids holdups in the axial directions and radial flow structure are well agreement with the experimental values. The statistical performance indicators including the mean absolute error (∼5.89%) and the correlation coefficient (∼0.982) also show favorable indications of the suitability of Genetic Programming modeling approach in predicting the solids holdup of the LSCFB system.
| Original language | English |
|---|---|
| Pages (from-to) | 370-381 |
| Number of pages | 12 |
| Journal | Chemical Engineering Research and Design |
| Volume | 134 |
| DOIs | |
| Publication status | Published - Jun 2018 |
| Externally published | Yes |
Keywords
- Hydrodynamics
- Solid holdups
- Superficial liquid velocity
ASJC Scopus subject areas
- General Chemistry
- General Chemical Engineering