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SPH modeling of biomass granular flow: Theoretical implementation and experimental validation

Journal Article · · Powder Technology
 [1];  [2];  [2];  [3];  [4]
  1. Idaho National Laboratory (INL), Idaho Falls, ID (United States); Georgia Institute of Technology, Atlanta, GA (United States)
  2. Idaho National Laboratory (INL), Idaho Falls, ID (United States)
  3. RTI International, Research Triangle Park, NC (United States)
  4. Georgia Institute of Technology, Atlanta, GA (United States)
The commercialization of biomass-derived energy is impeded by flowability challenges arising from the feeding and handling of granular biomass materials in full-scale biorefineries. To overcome these obstacles, a robust and accurate model to simulate the flow of granular biomass is indispensable. However, conventional mesh-based numerical codes are limited by inherent mesh distortion in simulating large deformation that commonly occurs in granular biomass handling. Here, in this study, we propose a graphics processing unit (GPU)-accelerated meshless Smoothed Particle Hydrodynamics (SPH) code to model the flow of granular biomass materials. A modified void ratio-based mass conversation, a hybrid particle-to-particle/surface frictional boundary treatment, and a hypoplastic constitutive model are implemented. Four numerical examples, an elastic block sliding on inclined planes, sand column collapse, Angle of Repose, and axial compression tests for pine chips, were simulated using the developed SPH code. The results demonstrate good agreement between numerical predictions and analytical and experimental data for all four examples, validating the SPH code and increasing confidence that it can be applied to simulate more complex granular biomass handling processes, such as hopper feeding or auger conveyance.
Research Organization:
Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Bioenergy Technologies Office (BETO)
Grant/Contract Number:
AC07-05ID14517
OSTI ID:
1989105
Report Number(s):
INL/JOU-23-71003-Rev000
Journal Information:
Powder Technology, Journal Name: Powder Technology Vol. 426; ISSN 0032-5910
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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