Quantitative characterization of mixing processes in rotary calciners

Sudah, Osama; Chester, Arthur W.; Kowalski, Jocelyn A; Beeckman, Jean W.; Muzzio, Fernando J.

doi:10.1016/s0032-5910(02)00009-8

Cited by 63 publications

(29 citation statements)

References 13 publications

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“…The implementation we adopted for solids is similar to the previous study by Sudah et al 28 Bulk material of white alumina is fed into the calciner under constant feed rate. A tracer is made by dyeing some of the alumina with green cobalt oxide.…”

Section: Residence Time Distributionmentioning

confidence: 99%

“…Based on previous work, 25 Saeman's model provides accurate prediction of one of the key parameters of RTD: the MRT. For the other key parameter, the axial dispersion coefficient, previous work did not provide a quantitative predictive method, 28 since the axial dispersion coefficient largely depends on material shape. However, since low axial dispersion is preferred in the calcination process, we are interested in materials or conditions in which dispersion is limited.…”

Section: Rtd Predictionmentioning

confidence: 99%

“…21 The influence of operation parameters and drum geometry on the residence time distribution was investigated. 27,28 Mass hold up was observed to be directly related to feed rate, inversely related to rotary speed, and slightly inversely proportional to angle of inclination.…”

Section: Introductionmentioning

confidence: 95%

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Measurement of residence time distribution in a rotary calciner

et al. 2013

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Rotary calcination is widely used in catalyst manufacturing and many other industrial processes. In this article, the influence of operational variables and material properties on the mean residence time (MRT), hold up, and axial dispersion was investigated in a pilot plant rotary calciner. Residence time distributions (RTD) of spherical, cylindrical, and quadrilobe catalyst particles were measured and contrasted. The Saeman's model was successfully applied to predict the experimental bed depth and the MRT as particles flowed through the calciner. It was observed that increasing the feed rate did not significantly affect the MRT. Results for the different particles indicated that cylinders and quadrulobes exhibited less axial dispersion than spheres due to the decreased flowability. A reliable method was developed to provide a reasonable RTD prediction in rotary calcination systems.

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Section: Residence Time Distributionmentioning

confidence: 99%

Section: Rtd Predictionmentioning

confidence: 99%

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Measurement of residence time distribution in a rotary calciner

et al. 2013

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“…Among the several other modeling approaches which exist in literature, for example, Monte-Carlo methods [12], continuum and constitutive models [13], statistical models [14,15], compartment models [16,17], RTD models [18,19] and hybrid models [20,21], discrete element modeling (DEM) is one of the fundamental modeling approaches that is able to capture the particle level physics. In DEM, each particle is treated as a discrete entity where the trajectory of the particles is tracked and the collision between particles is modeled.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Development and Comparison of a Hybrid PBM-DEM Description of a Continuous Powder Mixing Process

Sen

Dubey

Singh

et al. 2013

Journal of Powder Technology

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is paper describes the development of a multidimensional population balance model (PBM) which can account for the dynamics of a continuous powder mixing/blending process. e PBM can incorporate the important design and process conditions and determine their effects on the various critical quality attributes (CQAs) accordingly. e important parameters considered in this study are blender dimensions and presence of noise in the inlet streams. e blender dynamics have been captured in terms of composition of the ingredients, (relative standard deviation) RSD, and (residence time distribution) RTD. PBM interacts with discrete element modeling (DEM) via one-way coupling which forms a basic framework for hybrid modeling. e results thus obtained have been compared against a full DEM simulation which is a more fundamental particle-level model that elucidates the dynamics of the mixing process. Results show good qualitative agreement which lends credence to the use of coupled PBM as an effective tool in control and optimization of mixing process due to its relatively fewer computational requirements compared to DEM.

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“…fazendo uma analogia à lei de Fick, dada pela equação O modelo de dispersão axial é bastante empregado para análise de reatores (PALMA; GIUDICI, 2003;WANG, 1995) , porém também é utilizado no estudo de outros equipamentos, como por exemplo, trocadores de calor (ROETZEL; BALZEREIT, 2000) e calcinadores rotativos (SUDAH et al, 2002). Na forma adimensional, a equação que o representa e as que descrevem as variáveis adimensionais são, respectivamente, A condição de contorno aberta na entrada, definida por Wehner e Wilhelm (1956) é da forma…”

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Modelagem estocástica da dispersão axial: aplicação em um reator tubular de polimerização.

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Quantitative characterization of mixing processes in rotary calciners

Cited by 63 publications

References 13 publications

Measurement of residence time distribution in a rotary calciner

Measurement of residence time distribution in a rotary calciner

Mathematical Development and Comparison of a Hybrid PBM-DEM Description of a Continuous Powder Mixing Process

Modelagem estocástica da dispersão axial: aplicação em um reator tubular de polimerização.

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