Abstract
The influence of different factors on the fluidization of a binary mixture of red mud and aluminum was investigated. A new model was developed for predicting pressure drop through the solid bed using experimental data of other work. Statistical analysis based on response surface methodology has been used to develop correlations for bed pressure drop with three independent factors, minimum fluidization velocity (Umf), red mud to aluminum ratio (R/A), and static head (Hs). The design of experiments offers a best alternative to study the effect of factors and their response with the minimum number of experiments. The hydrodynamic characteristics of fluidization, bed pressure drop, superficial gas velocity (Umf), red mud to aluminum ratio (R/A), and initial static bed height (Hs) were modeled and optimized. ANOVA has been used to analyze the system parameters on bed pressure drop. A model of bed pressure drop was found to have a correlation coefficient of 0.98. The measured values of bed pressure drop from RSM were found to match the experimental values very well.
Highlights
The phenomenon of fluidization occurs when solid particles are suspended in an upward flowing fluid and the suspension behaves like a pseudofluid [1]
Statistical analysis based on response surface methodology has been used to develop correlations for bed pressure drop with three independent factors, minimum fluidization velocity (Umf), red mud to aluminum ratio (R/A), and static head (Hs)
Statistical analysis is based on response surface methodology has been used to develop correlations for pressure drop with three independent factors, minimum fluidization superficial velocity (Umf), red mud to aluminum ratio (R/A), and static head (Hs)
Summary
The phenomenon of fluidization occurs when solid particles are suspended in an upward flowing fluid and the suspension behaves like a pseudofluid [1]. The minimum fluidization velocity is an important hydrodynamic feature of FBS because it indicates when particles begin to fluidize from a packed state [2, 3]. The use of fluidized beds allows for a high degree of solid phase distribution homogeneity as well as high mass and heat exchange efficiency. The solid's division provides a large surface area for exchanges, and particle agitation accelerates the transfer process. Many theoretical models [4, 5] were developed for minimum fluidization velocity and bed pressure drop for spherical particles for gas–solid systems in conical vessels. Several correlations were used for the fine tailings materials that comprise a variety of constituents and possess a degree of cohesiveness [6]
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