Mixing characteristic of homogeneous binary mixture of regular particles in a gas–solid fluidized bed

Sahoo, Abanti; Roy, Gour Gopal

doi:10.1016/j.powtec.2005.08.010

Cited by 34 publications

(18 citation statements)

References 8 publications

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“…During experimentation, the segregation tendency is clearly observed in the lower velocity ranges (u f < 2u mf ) and the jetsam concentration decreases with an increase in the height of the column. It is also evident from Table 5 that the developed model gives approximately the same values as experimental values as compared to the model of Sahoo and Roy [15] for the same input data. The values of the mixing index in a few cases are more than 1 only when the jetsam concentration is less than 50%, which indicate segregation tendency.…”

Section: Resultssupporting

confidence: 55%

“…The mixing index (I M ) varies with the static bed height, particle size, density and gas mass velocity (Sahoo and Roy, [15] ). The effect of all these four variables was studied with primary air supply, rodpromoted bed, disc-promoted bed and simultaneous primary and secondary air supply.…”

Section: Development Of Modelsmentioning

confidence: 99%

“…Sahoo and Roy [15] studied the mixing characteristics of linear homogeneous binary mixtures of regular particles (Geldart BD type) in a cylindrical gas-solid fluidized bed and developed a mathematical model for calculation of the mixing index:…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effect of promoters and secondary fluidizing medium on mixing: statistical and ANN approaches

Mohanty¹,

Mohanty²,

Roy

et al. 2008

Asia-Pacific J Chem Eng

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Factorial design (statistical approach) and artificial neural network (ANN) models have been developed for the prediction of mixing the index with four system parameters, such as static bed heights, average particle densities, average particle sizes and gas velocities, under four different experimental conditions, viz., only primary air, simultaneous primary and secondary air, disc promoter and rod promoter. The values of the mixing index obtained through the developed models are found to agree well with their experimental counterparts. It has also been found from these investigations that under simultaneous primary and secondary air supply conditions the best mixing performance is achieved, i.e. I M ≈ 1.0, as compared to rod promoter, disc promoter, and only primary air supply. 

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Section: Resultssupporting

confidence: 55%

Section: Development Of Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Effect of promoters and secondary fluidizing medium on mixing: statistical and ANN approaches

Mohanty¹,

Mohanty²,

Roy

et al. 2008

Asia-Pacific J Chem Eng

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“…Therefore, applications of spouted beds with binary mixtures to large scale industrial processes will encounter many challenges due to a lack of comprehensive understanding in the flow regime transition where the segregation could happen [28][29][30], as well as hydrodynamic characteristics, such as minimum spouting velocity (U ms ) , and maximum spouting bed height (H m ), which are quite different from these in the single sized particle system [22]. Thus, in this study, the mechanism of flow regime transition of spouted beds with binary mixtures was systematically investigated and flow regime maps of different binary systems were experimentally developed.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Flow regime transition and hydrodynamics of spouted beds with binary mixtures

Zhang

et al. 2015

Powder Technology

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“…Fan and Chang3 studied the fluidization and solid mixing characteristics of very large particles where bubble‐ or slug‐induced drift and gross solid circulation appeared to be the predominant solid mixing mechanism. A theoretical model has been proposed by Sahoo and Roy4, 5 where both the horizontal and the vertical dispersion of the particles have been considered along with the counter flow of solids and their circulation.…”

Section: Introductionmentioning

confidence: 99%

Mathematical model for mixing index in gas–solid fluidized bed: an analysis

Sahoo¹,

Rana²

2010

Asia-Pacific J Chem Eng

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An available theoretical model for mixing index in gas-solid fluidized bed has been analyzed for further modification and improvement. Assumption of 50% bed material moving in the upward direction and rest 50% in the downward direction considered for the above model (the counter-flow circulation model) has been analyzed for optimum result. A computer program was run for different bed conditions by varying operating parameters, namely, the mixture composition, fractions of bed materials, minimum fluidization velocity of the jetsam particles and that of the bed materials (i.e. mixture of the jetsam and the flotsam particles). The developed model was solved by finite difference (central differencing). Fraction of the bed material moving in the upward direction was varied from 0 to 100% and the minimum fluidization velocity was varied within the U mf of the flotsam to that of the jetsam particles (i.e. 0.465-1.0335 m/s). Optimum fraction of bed materials with respect to its distribution (as per the earlier proposed model) in the upward and downward streams during the fluidization process was found to be 20 and 80%, respectively. The modified model was validated by conducting experiments on fluidization and studying the mixing characteristics of regular homogeneous materials (sago) in a 15 × 100 cm cylindrical column. Fairly good agreement was observed between the values of mixing index obtained from the proposed modified model and the experimental observations. 

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Mixing characteristic of homogeneous binary mixture of regular particles in a gas–solid fluidized bed

Cited by 34 publications

References 8 publications

Effect of promoters and secondary fluidizing medium on mixing: statistical and ANN approaches

Effect of promoters and secondary fluidizing medium on mixing: statistical and ANN approaches

Flow regime transition and hydrodynamics of spouted beds with binary mixtures

Mathematical model for mixing index in gas–solid fluidized bed: an analysis

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