Development of softsphere contact models for thermal heat conduction in granular flows
Abstract
Conductive heat transfer to flowing particles occurs when two particles (or a particle and wall) come into contact. The direct conduction between the two bodies depends on the collision dynamics, namely the size of the contact area and the duration of contact. For softsphere discreteparticle simulations, it is computationally expensive to resolve the true collision time because doing so would require a restrictively small numerical time step. To improve the computational speed, it is common to increase the 'softness' of the material to artificially increase the collision time, but doing so affects the heat transfer. In this work, two physicallybased correction terms are derived to compensate for the increased contact area and time stemming from artificial particle softening. By including both correction terms, the impact that artificial softening has on the conductive heat transfer is removed, thus enabling simulations at greatly reduced computational times without sacrificing physical accuracy.
 Authors:

 University of Colorado at Boulder, Dept. of Chemical and Biological Engineering, Boulder CO 80303
 SABIC Americas, Houston TX 77042
 National Renewable Energy Laboratory, Golden CO 80401
 Publication Date:
 Research Org.:
 Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); National Renewable Energy Lab. (NREL), Golden, CO (United States)
 Sponsoring Org.:
 USDOE Office of Science (SC); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE4S), SunShot Initiative
 OSTI Identifier:
 1339512
 Report Number(s):
 NREL/JA550067710
Journal ID: ISSN 00011541
 DOE Contract Number:
 AC3608GO28308
 Resource Type:
 Journal Article
 Journal Name:
 AIChE Journal
 Additional Journal Information:
 Journal Volume: 62; Journal Issue: 12; Journal ID: ISSN 00011541
 Publisher:
 American Institute of Chemical Engineers
 Country of Publication:
 United States
 Language:
 English
 Subject:
 14 SOLAR ENERGY; 47 OTHER INSTRUMENTATION; heat conduction; discrete element method; softsphere contact models
Citation Formats
Morris, A. B., Pannala, S., Ma, Z., and Hrenya, C. M. Development of softsphere contact models for thermal heat conduction in granular flows. United States: N. p., 2016.
Web. doi:10.1002/aic.15331.
Morris, A. B., Pannala, S., Ma, Z., & Hrenya, C. M. Development of softsphere contact models for thermal heat conduction in granular flows. United States. doi:10.1002/aic.15331.
Morris, A. B., Pannala, S., Ma, Z., and Hrenya, C. M. Wed .
"Development of softsphere contact models for thermal heat conduction in granular flows". United States. doi:10.1002/aic.15331.
@article{osti_1339512,
title = {Development of softsphere contact models for thermal heat conduction in granular flows},
author = {Morris, A. B. and Pannala, S. and Ma, Z. and Hrenya, C. M.},
abstractNote = {Conductive heat transfer to flowing particles occurs when two particles (or a particle and wall) come into contact. The direct conduction between the two bodies depends on the collision dynamics, namely the size of the contact area and the duration of contact. For softsphere discreteparticle simulations, it is computationally expensive to resolve the true collision time because doing so would require a restrictively small numerical time step. To improve the computational speed, it is common to increase the 'softness' of the material to artificially increase the collision time, but doing so affects the heat transfer. In this work, two physicallybased correction terms are derived to compensate for the increased contact area and time stemming from artificial particle softening. By including both correction terms, the impact that artificial softening has on the conductive heat transfer is removed, thus enabling simulations at greatly reduced computational times without sacrificing physical accuracy.},
doi = {10.1002/aic.15331},
journal = {AIChE Journal},
issn = {00011541},
number = 12,
volume = 62,
place = {United States},
year = {2016},
month = {6}
}
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