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dc.contributor.supervisorZhang, Qiang (Biosystems Engineering)en_US
dc.contributor.authorYue, Rong
dc.date.accessioned2017-01-05T18:29:07Z
dc.date.available2017-01-05T18:29:07Z
dc.date.issued2016-05en_US
dc.date.issued2017en_US
dc.identifier.citationAPAen_US
dc.identifier.citationAPAen_US
dc.identifier.urihttp://hdl.handle.net/1993/31985
dc.description.abstractThe main objective of this research was to model the airflow paths through grain bulks and predict the resistance to airflow. The discrete element method (DEM) was used to simulate the pore structures of grain bulks. A commercial software package PFC3D (Particle Flow Code in Three Dimension) was used to develop the DEM model. In the model, soybeans kernels were considered as spherical particles. Based on simulated positions (coordinates) and radii of individual particles, the characteristics of airflow paths (path width, tortuosity, turning angles, etc.) in the vertical and horizontal directions of the grain bed were calculated and compared. The discrete element method was also used to simulate particle packing in porous beds subjected to vertical vibration. Based on the simulated spatial arrangement of particles, the effect of vibration on critical pore structure parameters (porosity, tortuosity, pore throat width) was quantified. A pore-scale flow branching model was developed to predict the resistance to airflow through the grain bulks. Delaunay tessellation was also used to develop a pore network model to predict airflow resistance. Experiments were conducted to measure the resistance to airflow to validate the models. It was found that the discrete element models developed using PFC3D was capable of predicting the pore structures of grain bulks, which provided a base for geometrically constructing airflow paths through the pore space between particles. The tortuosity for the widest and narrowest airflow paths predicted based on the discrete element model was in good agreement with the experimental data reported in the literature. Both pore-scale models (branched path and network) proposed in this study for predicting airflow resistance (pressure drop) through grain bulks appeared promising. The predicted pressure drop by the branched path model was slightly (<12%) lower than the experimental value, but almost identical to that recommended by ASABE Standard. The predicted pressure drop by the network model was also lower than the measured value (2.20 vs. 2.44 Pa), but very close to that recommended by ASABE Standard (2.20 vs. 2.28Pa).en_US
dc.language.isoengen_US
dc.publisherKONA Powder and Particle Journalen_US
dc.publisherBiosystems Engineeringen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectModellingen_US
dc.subjectGrain bedsen_US
dc.subjectPore structuresen_US
dc.subjectDiscrete element methoden_US
dc.titleModeling pore structures and airflow in grain beds using discrete element method and pore-scale modelsen_US
dc.title.alternativeA pore-scale model for predicting resistance to airflow in grain bulksen_US
dc.typeinfo:eu-repo/semantics/doctoralThesis
dc.typedoctoral thesisen_US
dc.degree.disciplineBiosystems Engineeringen_US
dc.contributor.examiningcommitteeSri Ranjan, Ramanathan (Biosystems Engineering) Ruth, Douglas W. (Mechanical Engineering) Raghavan, Vijaya (Bioresource Engineering, McGill University)en_US
dc.degree.levelDoctor of Philosophy (Ph.D.)en_US
dc.description.noteFebruary 2017en_US


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