Characterization of transverse mixing in a screw mixer by image analysis

Huo, Chaofei; Feng, Ping; Fan, Chengpeng; Lin, Weigang; Song, Wenli

doi:10.1080/07373937.2015.1036285

Cited by 5 publications

(2 citation statements)

References 40 publications

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“…Solid particle mixing processes have been analyzed based on several experimental approaches such as sampling [8,9], X-ray tracking [10,11], positron emission particle tracking (PEPT) [12] and digitized image analysis methods [13]. Tsai and Lin [9] qualitatively studied the effects of screw parameters (pitch, flight diameter, flight thickness and shaft diameter) and operating conditions (rotation speed) on the mixing quality in a single screw feeder.…”

Section: Introductionmentioning

confidence: 99%

Numerical study of particle mixing in a lab-scale screw mixer using the discrete element method

Heindel

Wright

2017

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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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Section: Introductionmentioning

confidence: 99%

Numerical study of particle mixing in a lab-scale screw mixer using the discrete element method

Heindel

Wright

2017

Powder Technology

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“…Solid particle mixing processes have been analyzed based on several experimental approaches such as sampling [62,63], X-ray tracking [64,65], positron emission particle tracking (PEPT) [66] and digitized image analysis methods [67]. Tsai and Lin [63] qualitatively studied the effects of screw parameters (pitch, flight diameter, flight thickness and shaft diameter) and operating conditions (rotation speed) on the mixing quality in a single screw feeder.…”

Section: Introductionmentioning

confidence: 99%

Discrete element method modeling of biomass fast pyrolysis granular flows

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Organic biomass is an abundant renewable resource on the earth and properly utilizing biomass resources could provide an alternative energy to traditional fossil fuels and help to mitigate the impacts of energy consumption on environment and climate change. Fast pyrolysis is one way to achieve thermochemical conversion of biomass organic materials into bio-oil at mild temperature (500 0 C) in the absence of oxygen. Due to high heating rate requirement and low thermal conductivities of biomass materials, physical processes such as particulate flows, mixing

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