TY - JOUR
T1 - Infrared temperature measurements and DEM simulations of heat transfer in a bladed mixer
AU - Hartmanshenn, Clara
AU - Chaksmithanont, Prin
AU - Leung, Carlin
AU - Ghare, Digvijay V.
AU - Chakraborty, Nabaneeta
AU - Patel, Sagar
AU - Halota, Madeline
AU - Khinast, Johannes G.
AU - Papageorgiou, Charles D.
AU - Mitchell, Chris
AU - Quon, Justin L.
AU - Glasser, Benjamin J.
N1 - Funding Information:
This work was partially supported by a National Science Foundation Graduate Research Fellowship in the United States (NSF DGE-1433187) awarded to Clara Hartmanshenn.
Funding Information:
This work was partially supported by a National Science Foundation Graduate Research Fellowship in the United States (NSF DGE‐1433187) awarded to Clara Hartmanshenn.
Publisher Copyright:
© 2022 American Institute of Chemical Engineers.
PY - 2022/7
Y1 - 2022/7
N2 - 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.
AB - 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.
KW - agitated filter bed drying
KW - bladed mixer
KW - discrete element method modeling
KW - heat transfer
KW - infrared imaging
UR - http://www.scopus.com/inward/record.url?scp=85125180995&partnerID=8YFLogxK
U2 - 10.1002/aic.17636
DO - 10.1002/aic.17636
M3 - Article
AN - SCOPUS:85125180995
VL - 68
JO - AIChE Journal
JF - AIChE Journal
SN - 0001-1541
IS - 7
M1 - e17636
ER -