TY - JOUR
T1 - Experimental validation of a particle-based method for heat transfer incorporating interstitial gas conduction in dense granular flow using a rotary drum
AU - Hobbs, Andrew M.
AU - Ooi, Jin Y.
AU - Adepu, Manogna
AU - Emady, Heather
N1 - Publisher Copyright:
© 2022 The Society of Powder Technology Japan
PY - 2022/2
Y1 - 2022/2
N2 - Conductive heat transfer in granular material is important in many industrial processes. For dense systems where the materials have low thermal conductivity, much of the heat transfer will occur through interstitial gases. Industry requires flexible and efficient computational methods to capture these phenomena at scale. In this study, a recently proposed particle-based model that includes the contribution of the interstitial gases was validated using an experiment. This model was originally derived from a multi-scale analysis of static, random packings. To test this approach in dense, dynamic systems, the model results were compared to experimental data for glass beads in an indirectly heated rotating drum. Infrared (IR) thermography was used to track the temperature evolution of the glass beads and the drum wall temperature. Discrete element simulations were performed with the experimental wall temperature used as a transient wall boundary condition. Results from the simulation show good agreement with the experimental data both for the bulk average temperature and for the bed profile, demonstrating the model's ability to capture the gas contribution in dynamic systems.
AB - Conductive heat transfer in granular material is important in many industrial processes. For dense systems where the materials have low thermal conductivity, much of the heat transfer will occur through interstitial gases. Industry requires flexible and efficient computational methods to capture these phenomena at scale. In this study, a recently proposed particle-based model that includes the contribution of the interstitial gases was validated using an experiment. This model was originally derived from a multi-scale analysis of static, random packings. To test this approach in dense, dynamic systems, the model results were compared to experimental data for glass beads in an indirectly heated rotating drum. Infrared (IR) thermography was used to track the temperature evolution of the glass beads and the drum wall temperature. Discrete element simulations were performed with the experimental wall temperature used as a transient wall boundary condition. Results from the simulation show good agreement with the experimental data both for the bulk average temperature and for the bed profile, demonstrating the model's ability to capture the gas contribution in dynamic systems.
KW - Conduction
KW - DEM
KW - Granular Heat Transfer
KW - Heat transfer
KW - Particle Heat Transfer
UR - http://www.scopus.com/inward/record.url?scp=85123003169&partnerID=8YFLogxK
U2 - 10.1016/j.apt.2022.103426
DO - 10.1016/j.apt.2022.103426
M3 - Article
AN - SCOPUS:85123003169
SN - 0921-8831
VL - 33
JO - Advanced Powder Technology
JF - Advanced Powder Technology
IS - 2
M1 - 103426
ER -