Scale up of heat transfer for dry granular material in a cylindrical bladed mixer

Hartmanshenn, Clara; Halota, Madeline; Chaksmithanont, Prin; Leung, Carlin; Khinast, Johannes; Papageorgiou, Charles D.; Mitchell, Christopher; Quon, Justin L.; Glasser, Benjamin J.

doi:10.1016/j.powtec.2021.02.074

Cited by 6 publications

(3 citation statements)

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“…The heat transfer equations were added to EDEM ® to allow for both the position and temperature of particles to be tracked. Relevant parameter values for the model were taken from previous study 28,29 as shown in Table 3. The chosen values for the material properties correspond to the physical properties of glass beads, except for the Young's modulus.…”

Section: Methodsmentioning

confidence: 99%

“…The advantage of the model we have implemented is it has only one unknown thermal parameter (the thermal conductivity), is not computationally expensive, and shows simple scaling behavior in terms of particle and process parameters. 28,29 As understanding improves, we hope to incorporate additional elements of heat transfer into the model. An additional motivation for not including additional complexities into the model is that additional complexities lead to additional parameters and in many cases these parameter values are not known.…”

Section: Methodsmentioning

confidence: 99%

“…Implementing a model that encompasses all aspects of heat transfer would be ideal but this study serves as a first step to comparing simulations and experiments for heat transfer in a bladed mixer, so we have only considered direct (particle–particle) conduction without the complexities of the interstitial gas, frictional heating, and other effects. The advantage of the model we have implemented is it has only one unknown thermal parameter (the thermal conductivity), is not computationally expensive, and shows simple scaling behavior in terms of particle and process parameters 28,29 . As understanding improves, we hope to incorporate additional elements of heat transfer into the model.…”

Section: Methodsmentioning

confidence: 99%

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Infrared temperature measurements and DEM simulations of heat transfer in a bladed mixer

et al. 2022

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An understanding of heat transfer in a bladed mixer is important for drying of pharmaceutical drug crystals. This study presents thermal imaging experiments of the particle bed surface in a bladed mixer to investigate how the impeller speed influences the rate and the uniformity of heat transfer. Next, the process is simulated using the discrete element method. The bed thermal properties are lumped into an effective thermal conductivity, that is calibrated for one impeller speed. The experiments and the simulations show the same trends and generally agree well for all agitated beds. However, to obtain good agreement of the rate of heat transfer between the simulations and experiments in a static bed, we need to adopt a higher thermal conductivity than for the agitated beds. Finally, we discuss the implications of these results for the design of operating protocols.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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