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Title: Development of soft-sphere 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 soft-sphere discrete-particle 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 physically-based 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:
 [1];  [2];  [3];  [1]
  1. University of Colorado at Boulder, Dept. of Chemical and Biological Engineering, Boulder CO 80303
  2. SABIC Americas, Houston TX 77042
  3. 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 (EE-4S), SunShot Initiative
OSTI Identifier:
1339512
Report Number(s):
NREL/JA-5500-67710
Journal ID: ISSN 0001-1541
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
AIChE Journal
Additional Journal Information:
Journal Volume: 62; Journal Issue: 12; Journal ID: ISSN 0001-1541
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; soft-sphere contact models

Citation Formats

Morris, A. B., Pannala, S., Ma, Z., and Hrenya, C. M. Development of soft-sphere 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 soft-sphere 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 soft-sphere contact models for thermal heat conduction in granular flows". United States. doi:10.1002/aic.15331.
@article{osti_1339512,
title = {Development of soft-sphere 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 soft-sphere discrete-particle 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 physically-based 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 = {0001-1541},
number = 12,
volume = 62,
place = {United States},
year = {2016},
month = {6}
}

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