Mathematical Model for Batch Drying in an Inert Medium Fluidized Bed

Lee, Dong-Hyun; Kim, Sang-Done

doi:10.1002/(sici)1521-4125(199905)22:5<443::aid-ceat443>3.0.co;2-l

Cited by 23 publications

(9 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lee and Kim [6,7] investigated the effects of gas velocity, inlet gas temperature and the mass ratio of starch to inert particles on the drying rate of starch in an inert medium fluidized bed. They concluded that the drying rate in an inert medium fluidized bed increased with increasing inlet gas temperature and velocity.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Experimental and Theoretical Investigation of Drying of Carrots in a Fluidized Bed with Energy Carrier

Hatamipour

Mowla

2003

Drying Technology

View full text Add to dashboard Cite

A pilot scale fluidized bed dryer with an inert energy carrier (steel, glass beads ranging from 2.7 to 6.5 mm) was used to investigate the drying of carrots. The effects of sample diameter, inert material type, inert material diameter, amount of inert material, air velocity, and temperature on the rate of drying were studied. A mathematical model was proposed for predicting the drying rate and temperature of drying material. It was found that presence of inert particles enhance the rate of drying. The results of this study also revealed that, although the rate of drying increases with decreasing sample diameter, increasing the inert material thermal conductivity, and increasing air temperature, but the inert material diameter and air velocity have no significant effects on the rate of drying.The independence of rate of drying on air velocity especially in wellfluidized systems indicates that external diffusion is not a controlling step in this process. Also the presence of inert materials causes the drying material to reach more rapidly to its final internal temperature.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Solid temperature curve for various glass inerts, 60 C, 0.500 kg inert, 2.36 m/s air velocity (Exp 7,8,11,12)…”

mentioning

confidence: 99%

Experimental and Theoretical Investigation of Drying of Carrots in a Fluidized Bed with Energy Carrier

Hatamipour

Mowla

2003

Drying Technology

View full text Add to dashboard Cite

show abstract

“…In the above equations, it should be taken into account that: [28] Re t ¼ Ar 18 þ 0:6 ffiffiffiffiffi ffi Ar p ð15Þ…”

Section: Overall Mass and Heat Transfer Coefficientsmentioning

confidence: 99%

“…[28] The basic physicochemical properties of these materials are summarized in Table 1. [28] The basic physicochemical properties of these materials are summarized in Table 1.…”

Section: Batch Drying Kinetics 1623mentioning

confidence: 99%

See 1 more Smart Citation

Batch Drying Kinetics in a Two-Zone Bubbling Fluidized Bed

Ciesielczyk

2005

Drying Technology

View full text Add to dashboard Cite

This article deals with investigation and modeling of batch drying process of solids in fluidized bed apparatus. There has been used model of fluidized bed drying, which consists two zones: emulsion zone and bubbling zone with taking into consideration the presence of solid particles in the bubbles. The results of theoretical expectations that arise from simulation calculations have been verified with experimental data obtained with the use of fluidized bed dryer 0.225 m in diameter. A drying process of silica gel, sand, and ammonium sulfate has been tested. To verify the model, the concept of a generalized drying curve has also been employed.

show abstract

Investigation of batch fluidized‐bed drying by mathematical modeling, CFD simulation and ECT measurement

et al. 2007

View full text Add to dashboard Cite

in Wiley InterScience (www.interscience.wiley.com).Mathematical modeling, computational fluid dynamics (CFD) analysis and electrical capacitance tomography (ECT) is used to develop an understanding of batch fluidizedbed drying, which is a complex air-solids, multiphase process. The mathematical model is based on a three-phase theory that describes the mass-and heat-transfer between the air and solids phases. The CFD model is based on a two-fluid model (TFM) approach, in which both phases are considered to be continuous and fully interpenetrating. The hydrodynamic parameters used to model the heat-and mass-transfer between the two phases are determined by a correlation approach, and the estimated parameters are incorporated into a user defined function (UDF) in FLUENT. The moisture diffusion in the air and solids phases is simulated using the user defined scalar (UDS) transport equation in the software package. ECT is used for the online solids concentration and moisture measurement, based on dynamic calibration. Comprehensive comparisons between results from mathematical modeling, CFD simulation and ECT measurement are presented, and are validated using experiment results. Online measurement of moisture content is compared with a static calibration. The mathematical model, CFD and ECT presented are being integrated into an online process control system for a batch fluidized-bed drying application in the pharmaceutical industry.

show abstract

Mathematical Model for Batch Drying in an Inert Medium Fluidized Bed

Cited by 23 publications

References 13 publications

Experimental and Theoretical Investigation of Drying of Carrots in a Fluidized Bed with Energy Carrier

Experimental and Theoretical Investigation of Drying of Carrots in a Fluidized Bed with Energy Carrier

Batch Drying Kinetics in a Two-Zone Bubbling Fluidized Bed

Investigation of batch fluidized‐bed drying by mathematical modeling, CFD simulation and ECT measurement

Contact Info

Product

Resources

About