TY - JOUR
T1 - SPH modeling of biomass granular flow
T2 - Theoretical implementation and experimental validation
AU - Zhao, Yumeng
AU - Jin, Wencheng
AU - Klinger, Jordan
AU - Dayton, David C.
AU - Dai, Sheng
N1 - Funding Information:
This work was performed as part of the Feedstock Conversion Interface Consortium (FCIC) with funding graciously provided by the U.S. Department of Energy Bioenergy Technologies Office. This article was authored by Idaho National Laboratory, managed by Battelle Energy Alliance, under Contract No. DE-AC07-05ID14517. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for the U.S. Government purposes. The first and corresponding authors would like to acknowledge Dr. Cong Peng at the ESS Engineering Software Steyr GmbH for the discussion on the SPH theory for granular flow modeling.
Funding Information:
This work was performed as part of the Feedstock Conversion Interface Consortium (FCIC) with funding graciously provided by the U.S. Department of Energy Bioenergy Technologies Office . This article was authored by Idaho National Laboratory, managed by Battelle Energy Alliance, under Contract No. DE-AC07-05ID14517. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for the U.S. Government purposes. The first and corresponding authors would like to acknowledge Dr. Cong Peng at the ESS Engineering Software Steyr GmbH for the discussion on the SPH theory for granular flow modeling.
Publisher Copyright:
© 2023
PY - 2023/8/1
Y1 - 2023/8/1
N2 - 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. 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.
AB - 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. 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.
KW - Angle of repose
KW - Axial compression
KW - Granular biomass materials
KW - Granular flow modeling
KW - SPH
UR - https://www.scopus.com/pages/publications/85162202180
UR - https://www.mendeley.com/catalogue/28149246-fe3f-3e4e-85ba-2286a3e822ef/
U2 - 10.1016/j.powtec.2023.118625
DO - 10.1016/j.powtec.2023.118625
M3 - Article
AN - SCOPUS:85162202180
SN - 0032-5910
VL - 426
JO - Powder Technology
JF - Powder Technology
M1 - 118625
ER -