Measurement of residence time distribution in a rotary calciner

Gao, Yijie; Glasser, Benjamin J.; Ierapetritou, Marianthi G.; Cuitiño, Alberto M.; Muzzio, Fernando J.; Beeckman, Jean W.; Fassbender, Natalie A.; Borghard, William G.

doi:10.1002/aic.14175

Cited by 32 publications

(24 citation statements)

References 40 publications

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“…The mass of solid inside M a n u s c r i p t 16 the kiln, resulting from the integration of the bed height profile, is divided by the inlet flow rate to obtain the nominal space time, assumed to be equal to the mean residence time. This approach is known to work well with model granular packings (Gao et al 2013) as well as most of the 'conventional' materials such as sand and coal. In Figure 7, the measured mean residence times and hold up are compared…”

Section: Model Formulation and Adjustmentmentioning

confidence: 98%

Wood chips flow in a rotary kiln: Experiments and modeling

Colin

Dirion

Arlabosse

et al. 2015

Chemical Engineering Research and Design

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Section: Model Formulation and Adjustmentmentioning

confidence: 98%

Wood chips flow in a rotary kiln: Experiments and modeling

Colin

Dirion

Arlabosse

et al. 2015

Chemical Engineering Research and Design

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“…The lifter configurations are ranked almost into identical order using the mixing index values based on the dispersion coefficient or based on CoV from Equation (6). The axial dispersion coefficients were 14-41 cm 2 /min for the studied geometries, which are higher compared to Bongo Njeng et al (2015a) and Gao et al (2013) results possibly due to different fluid media.…”

Section: Resultsmentioning

confidence: 87%

“…Axial dispersion coefficients were 1-20 cm 2 /min at rotational speeds 2-12 rpm. Gao et al (2013) determined residence time distributions in a rotary calciner by manual image analysis for different shaped solid materials. Axial dispersion coefficients were 1-8 cm 2 /min at rotational speeds 2-5 rpm.…”

Section: Introductionmentioning

confidence: 99%

A Novel Machine Vision Based Image Analysis Method for the Analysis of Mixing Elements in Rotary Drums

Koiranen

Melanen

Ilonen

et al. 2017

Chemical Engineering Communications

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Mixing performance in continuous rotary drums has been studied. The video analysis method was developed to evaluate different configurations of straight lifters in the rotary drum. The method converts a captured video into a single image, called stack image. The color marker tracking was estimated based on the color saturation of the stack image. Coefficients of variation and mixing indices were calculated from the color saturation profiles for different straight blade lifter configurations. The video analysis method was confronted to the impulse response of acid concentrations in water solutions. The developed analysis method has been superior with viscous fluids compared to traditional tracer impulse method in mixing evaluations. Water and 1% CMC-water solution were used in this mixing study for covering broadly different viscous materials. The drum lengthwise results for one lifter configuration were obtained from a single experiment due to the block representation of the image analysis method. It enables mixing analysis of axial segments and interaction analysis of mixer configurations. Thus, the axial mixing can be studied in more detail with rotary drums. The increase of lifters, residence time, and tip speed improved axial mixing in the studied experimental setup.

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“…Additionally, industrial experiments with tracer materials were used to study the residence time distribution in the furnaces used for calcination, such as the MHF 1 and rotary kilns. 13,14 Despite the abundance of research examining the calcination reactions, significant research is still required to quantitatively describe the phenomena occurring in the MHF calciner. In the literature, several mathematical models with necessary elements have been reported.…”

Section: Introductionmentioning

confidence: 99%

Dynamic modeling of a multiple hearth furnace for kaolin calcination

et al. 2015

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A dynamic model of a multiple hearth kaolin calciner has been developed and is presented in this article. This model describes the physical-chemical phenomena taking place in the six furnace parts: the solid phase, gas phase, walls, cooling air, rabble arms, and the central shaft. The solid phase movement, in particular, is described by a novel mixing model. The mixing model divides the solid bed in a hearth into volumes and the distribution of their contents, after one full central shaft rotation, is identified by the pilot experiments. First, the model is validated by the industrial data, and then the dynamics of the multiple hearth furnace is studied by introducing step changes to the three manipulated variables: the feed rate, and the gas, and air flows supplied. The responses of the gas phase temperature and solid bed component profiles are analysed and the results are discussed. V C 2015 American Institute of Chemical Engineers AIChE J, 61: [3683][3684][3685][3686][3687][3688][3689][3690][3691][3692][3693][3694][3695][3696][3697][3698] 2015

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Measurement of residence time distribution in a rotary calciner

Cited by 32 publications

References 40 publications

Wood chips flow in a rotary kiln: Experiments and modeling

Wood chips flow in a rotary kiln: Experiments and modeling

A Novel Machine Vision Based Image Analysis Method for the Analysis of Mixing Elements in Rotary Drums

Dynamic modeling of a multiple hearth furnace for kaolin calcination

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