Reference : Numerical study of particle mixing in a lab-scale screw mixer using the discrete elem...
Scientific journals : Article
Engineering, computing & technology : Mechanical engineering
Computational Sciences
Numerical study of particle mixing in a lab-scale screw mixer using the discrete element metod
Qi, Fenglei mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Heindel, Theodore mailto [Iowa State University > Department of Mechanical Engineering]
Wright, Mark mailto [Iowa State University > Department of Mechanical Engineering]
Powder Technology
Elsevier Science
Yes (verified by ORBilu)
[en] Discrete element method ; Double screw mixer ; Mixing index ; Multicomponent mixture ; Particle mixing
[en] This study employs the discrete element method (DEM) to simulate particulate flow and investigate mixing performance of a lab-scale double screw mixer. The simulation employs polydispersed biomass and glass bead particles based on experiments conducted in previous studies. Visual examination of particle distribution and statistical analysis of particle residence times of experimental data served as model validation. Statistical analysis indicates a maximum 9.8% difference between the experimental and simulated biomass particle mean residence time, and visual observations suggest the simulation captures the particle mixing trends observed in the experiments. Results indicate that the particle mean mixing time, non-dimensionalized by ideal flow time in the plug flow reactor, varies between 1.008 and 1.172, and it approaches 1 with increasing biomass feed rate. The mixing index profile in the axial direction shows a mixing-demixing-mixing oscillation pattern. Increasing screw pitch length is detrimental to mixing performance; decreasing the solid particle feed rate reduces the mixing degree; and increasing the biomass to glass bead size ratio decreases mixing performance. A comparison of a binary, single-sized biomass and glass particles mixture to a multicomponent mixture indicates that the binary system has similar mixing pattern as a multicomponent system. These findings demonstrate that DEM is a valuable tool for the design and simulation of double screw mixing systems.

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