Immersed heater‐to‐bed heat transfer in liquid‐solid fluidized beds

Kang, Yong; Fan, L. T.; Kim, S. D.

doi:10.1002/aic.690370715

Cited by 29 publications

(23 citation statements)

References 21 publications

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“…Couls on and Richards on Kern Eqns (10 ) and (17 ) (11) and (12) respectively. By inserting these values into eqn (6) a ünal value was calcu-e L lated.…”

Section: Resultsmentioning

confidence: 99%

Fluidized tube heat exchanger

Uysal

1999

J. Chem. Technol. Biotechnol.

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The presence of solid particles in a heat exchanger is important in keeping the surface clean, thus having a beneücial eþ ect on heat transfer. Solids circulation in the system can be provided by means of a recycle tube mounted in the central core of the heat exchanger. In this study a pilot scale ýuidized tube heat exchanger system which consists of six ýuidization tubes together with the centrally located recycling tube was constructed and pressure drop, liquid-wall and solid-wall friction forces and the eþ ects of the amount of solids introduced to the system on heat transfer were investigated. Experimental results indicate that although the recycle tube causes an approximately 35% decrease in the heat transfer coefficient when no solid is used, the presence of the solids in the system increases the heat transfer coefficient by about 45% above that of the solids-free system.

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“…Couls on and Richards on Kern Eqns (10 ) and (17 ) (11) and (12) respectively. By inserting these values into eqn (6) a ünal value was calcu-e L lated.…”

Section: Resultsmentioning

confidence: 99%

Fluidized tube heat exchanger

Uysal

1999

J. Chem. Technol. Biotechnol.

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“…Another type of approach to describe the solid concentration distribution in liquid fluidized beds originates from the stochastic model proposed by Yutani et al The particle dispersion was calculated by the temporal variance of particle parameters, e.g., velocity and number, during the relaxation of bed expansion or contraction, which was manipulated by step‐wisely changing the superficial liquid velocity. The concept of the model has also been adopted by other researchers for predicting the solid concentration distribution in liquid fluidized beds that operate under unsteady or steady state conditions with flow patterns ranging from uniform or pseudo‐homogeneous to turbulent random regimes . However, the application of this category of models is not straightforward, requiring experimental inputs of microscopic information on the particle motion, which are extremely difficult (if not impossible) to attain due to limitations of experimental instrumentation and measuring methodologies.…”

Section: Theory and Backgroundmentioning

confidence: 99%

A simple model for predicting solid concentration distribution in binary‐solid liquid fluidized beds

2016

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A simple mathematical model for predicting the solid concentration profile in binary‐solid liquid fluidized beds is presented. The main assumption is that the solid concentration distribution follows the logistic function, which is supported by the literature. Various equations have been derived to solve key system quantities (e.g., bed expansion height, length and position of the transition zone). In contrast to previous models that often involve adjustable parameters and strongly rely on the availability of experimental data, the present model only requires inputs of fluid and particle properties, operating conditions, and correlations for dispersion and slip velocity. The results showed that the model is applicable to different binary‐solid systems that have size and/or density differences. The model's capability of predicting the layer inversion phenomenon has also been demonstrated. The model is simple but proves capable of accurately predicting key information for the design, operation and scale up of liquid fluidized beds. © 2016 American Institute of Chemical Engineers AIChE J, 63: 469–484, 2017

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“…Because the calculation of the heat transfer coefficient in these systems uses heat transfer correlations based on experiments with spherical glass beads (usually in particulate fluidization), they do not necessarily produce accurate values. Five correlations for the heat transfer coefficient in liquid-solid fluidized bed thermal systems were selected to satisfy the conditions of the experimental data from Schut [22], Kim [22], Kollbach [22], Kang [23], and Haid [8].…”

Section: Experimental Data and Selected Correlationsmentioning

confidence: 99%