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Measurement of flow properties coupled to experimental and numerical analyses of dense, granular flows for solar thermal energy storage

Journal Article · · Solar Energy
 [1];  [2];  [3];  [2];  [2];  [2]
  1. Georgia Inst. of Technology, Atlanta, GA (United States); Georgia Institute of Technology
  2. Georgia Inst. of Technology, Atlanta, GA (United States)
  3. Georgia Inst. of Technology, Atlanta, GA (United States); Univ. of Dayton, OH (United States)

Granular flows of sintered bauxite proppants were researched along an inclined plane for solar thermal energy storage applications. Granular flow properties needed to drive numeric granular models were measured for improved numerical model predictions for Carbobead CP 50/140, 40/100, and 30/60 particles. Particle shape and size distributions were determined by coupling optical microscopy to an in-house image processing algorithm. The impulse excitation technique was used to measure elastic and shear moduli, and compute Poisson’s ratio. The coefficient of static sliding friction was measured using the slip-stick method, and the static rolling friction was determined from measured shear on particles positioned between two hot-pressed plates. The coefficient of restitution was measured by dropping particles on a surface and determining the kinetic energy before and after impact with the surface using high resolution particle tracking velocimetry. Particle size did not significantly impact the coefficients of restitution and static rolling friction, however, particle shape distribution resulted in a large variation in measurements. An inclined flow experiment was performed to characterize granular flows of Carbobead CP 30/60 particles using particle image velocimetry. Numerical models of the experiment using discrete element method were generated with the measured mechanical properties as inputs for comparison with experimental results. A constant directional torque rolling friction model best predicted bulk granular flow behavior. Furthermore, good agreement between the model and experiment was achieved at ambient, steady state conditions, with average velocity differences <10%.

Research Organization:
Georgia Inst. of Technology, Atlanta, GA (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
Grant/Contract Number:
EE0008372
OSTI ID:
1633772
Alternate ID(s):
OSTI ID: 1810936
Journal Information:
Solar Energy, Journal Name: Solar Energy Vol. 207; ISSN 0038-092X
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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