Startseite Hydrodynamics Modeling of an LSCFB Reactor Using Multigene Genetic Programming Approach: Effect of Particles Size and Shape
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Hydrodynamics Modeling of an LSCFB Reactor Using Multigene Genetic Programming Approach: Effect of Particles Size and Shape

  • Shaikh A. Razzak EMAIL logo
Veröffentlicht/Copyright: 29. September 2018
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Abstract

The multigene genetic programming (MGGP) technique based hydrodynamics models were developed to predict the solids holdups of a liquid-solid circulating fluidized bed (LSCFB) riser. Four different particles were considered to investigate the effects of particle size, shape and density on hydrodynamics behavior of the LSCFB riser. In this regard, two spherical shape glass bead particles (500 and 1200 μm), two irregular shape lava rock particles (500 and 920 μm) were employed as solid phase and water as liquid phase. The MGGP models were developed, relating the solids holdup (εs, output parameter) with eight input parameters. The developed models were first validated by comparing the model predicted and experimental data of solids holdups. The average solids holdups decreased with the increase of net superficial liquid velocity (UlUt) and normalized superficial liquid velocityUlUt. Uniform axial solids holdups observed in axial locations (H) except close to the liquid-solid distributor of the riser. The radial non-uniformity of solids holdup observed all radial positions (r/R). In the central region almost flat but increased toward the wall region. The radial profiles of the solid holdup are approximately identical at a fixed average cross-sectional solid holdup for all of the three LSCFB systems of this study. The statistical performance indicators such as the mean absolute percentage error and correlation coefficient are also found to be within acceptable range. All these findings of suggest that the MGGP modeling approach is suitable for predicting effect of particle size and shape on hydrodynamics behavior of the LSCFB system

Acknowledgements

The author would like to acknowledge the support provided by King Abdulaziz City for Science and Technology (KACST) through the Science & Technology Unit at King Fahd University of Petroleum & Minerals (KFUPM) for funding of this work, project No. NSTIP # 13-WAT96-04, as part of the National Science, Technology and Innovation Plan.

Nomenclature

Ar

Archimedes number

Ar

Cross-sectional area of riser (m2)

Ad

Cross-sectional area of downer (m2)

CD

Drag coefficient

dP

Particle diameter (m)

d

Dimensionless particle diameter

Gs

Solid circulation rate (kg/m2.s)

H

Height of the riser (m)

h

Height of accumulated particles (m)

wn

Weights obtained through training the network

r

Radial position (m)

R

Radius of the riser (m)

Ret

Reynolds number at terminal settling velocity

t

Time (s)

Ua

Auxiliary liquid velocity (cm/s)

Ul

Superficial liquid velocity (cm/s)

UP

Primary liquid velocity (cm/s)

Us

Superficial solid velocity (cm/s)

Ut

Terminal settling velocity (cm/s)

UlUt

Normalized liquid velocity

UlUt

Net superficial liquid velocity (cm/s)

U

Dimensionless terminal settling velocity (cm/s)

Greek Letters

ρs

Density of solid particle (kg/m3)

ρl

Density of liquid (kg/m3)

εs

Solids holdups

εl

Liquid holdups

Sphericity

σ

Local conductivity

σm

Estimated local conductivity

σ1

Local conductivity when the pipe is full of single liquid phase

σ0

Local conductivity when the pipe is full of solid phases

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Received: 2018-05-09
Revised: 2018-09-19
Accepted: 2018-09-23
Published Online: 2018-09-29

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