Measurement of Flow Properties Coupled to Experimental and Numerical Analyses of Dense, Granular Flows for Solar Thermal Energy Storage Dataset

Bagepalli, Malavika V.; Yarrington, Justin D.; Schrader, Andrew J.; Zhang, Zhuomin; Ranjan, Devesh; Loutzenhiser, Peter G.

Title:

Measurement of Flow Properties Coupled to Experimental and Numerical Analyses of Dense, Granular Flows for Solar Thermal Energy Storage Dataset

dc.contributor.author	Bagepalli, Malavika V.
dc.contributor.author	Yarrington, Justin D.
dc.contributor.author	Schrader, Andrew J.
dc.contributor.author	Zhang, Zhuomin
dc.contributor.author	Ranjan, Devesh
dc.contributor.author	Loutzenhiser, Peter G.
dc.contributor.corporatename	Georgia Institute of Technology. School of Mechanical Engineering	en_US
dc.date.accessioned	2020-06-03T20:34:24Z
dc.date.available	2020-06-03T20:34:24Z
dc.date.issued	2020-06-02
dc.description	Supplementary data for Malavika V. Bagepalli, Justin D. Yarrington, Andrew J. Schrader, Zhuomin M. Zhang, Devesh Ranjan, Peter G. Loutzenhiser, Measurement of flow properties coupled to experimental and numerical analyses of dense, granular flows for solar thermal energy storage, Solar Energy, Volume 207, 2020, Pages 77-90, ISSN 0038-092X, https://doi.org/10.1016/j.solener.2020.06.062.	en_US
dc.description.abstract	Granular flows of sintered bauxite proppants were examined 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. Good agreement between the model and experiment was achieved at ambient, steady state conditions, with average velocity differences <10%. item_description: Raw measured data of granular flow properties of sintered bauxite at room temperature	en_US
dc.description.sponsorship	Solar Energy Technolgies Office (SETO) EE0008372	en_US
dc.identifier.uri	http://hdl.handle.net/1853/62903
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology
dc.relation.issupplementto	https://doi.org/10.1016/j.solener.2020.06.062
dc.subject	Granular flow transport	en_US
dc.subject	Solar particle heating receivers and reactor	en_US
dc.subject	Thermal energy storage	en_US
dc.subject	Granular flow properties	en_US
dc.subject	Discrete element method	en_US
dc.title	Measurement of Flow Properties Coupled to Experimental and Numerical Analyses of Dense, Granular Flows for Solar Thermal Energy Storage Dataset	en_US
dc.title.alternative	Measurement of flow properties coupled to experimental and numerical analyses of dense, granular flows for solar thermal energy storage: Measured data	en_US
dc.title.alternative	Measurement of Flow Properties Coupled to Experimental and Numerical Analyses of Dense, Granular Flows for Solar Thermal Energy Storage: Measured Data	en_us
dc.type	Dataset	en_US
dspace.entity.type	Publication
local.contributor.author	Ranjan, Devesh
local.contributor.author	Loutzenhiser, Peter G.
local.contributor.author	Zhang, Zhuomin
local.contributor.corporatename	George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename	College of Engineering
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relation.isAuthorOfPublication	97a4b763-af4e-4b74-bfb3-78a50b72c8c4
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