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Limit Modes of Particulate Materials Classifiers
Adamčík, Martin ; Štěpánek, František (oponent) ; Fekete, Roman (oponent) ; Svěrák, Tomáš (vedoucí práce)
With material science demands on ever smaller particle sizes, new approaches and effective methods of their classification are needed. Turbulent flow field patterns and particle trajectories inside of a dynamic air classifier are investigated. Increasing computing power together with new turbulence models and approaches to simulate complex fully turbulent problems by solving Navier-Stokes equations allows studying and capturing smaller flow structures and properties more accurately. Particles below 10 microns are more susceptible to smaller local vortexes and particle fates are therefore more dependent on these local structures. Area of focus are the conditions required for classification of particles with sizes below 10 microns as this size is at the limit of air classification method possibilities. CFD software and the latest knowledge in turbulence modelling are used to numerically simulate flow field inside a dynamic air classifier. Effects of varying operating parameters on flow patterns and discrete phase classification outputs are investigated. Experimental verification of the simulated flow fields includes advanced imaging method (PIV) measurement of flow velocity and is used to visualize flow field structures in the classifier rotor blade passageway region. Predicted particle trajectories and their fates are experimentally verified by classification trials carried out on dynamic air classifier and the particle distribution curves are established by laser diffraction method. Tromp curves and efficiency of classification process are studied.
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Limit Modes of Particulate Materials Classifiers
Adamčík, Martin ; Štěpánek, František (oponent) ; Fekete, Roman (oponent) ; Svěrák, Tomáš (vedoucí práce)
With material science demands on ever smaller particle sizes, new approaches and effective methods of their classification are needed. Turbulent flow field patterns and particle trajectories inside of a dynamic air classifier are investigated. Increasing computing power together with new turbulence models and approaches to simulate complex fully turbulent problems by solving Navier-Stokes equations allows studying and capturing smaller flow structures and properties more accurately. Particles below 10 microns are more susceptible to smaller local vortexes and particle fates are therefore more dependent on these local structures. Area of focus are the conditions required for classification of particles with sizes below 10 microns as this size is at the limit of air classification method possibilities. CFD software and the latest knowledge in turbulence modelling are used to numerically simulate flow field inside a dynamic air classifier. Effects of varying operating parameters on flow patterns and discrete phase classification outputs are investigated. Experimental verification of the simulated flow fields includes advanced imaging method (PIV) measurement of flow velocity and is used to visualize flow field structures in the classifier rotor blade passageway region. Predicted particle trajectories and their fates are experimentally verified by classification trials carried out on dynamic air classifier and the particle distribution curves are established by laser diffraction method. Tromp curves and efficiency of classification process are studied.
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Evaluation and accuracy of the local velocity data measurements in an agitated vessel
Kysela, Bohuš ; Konfršt, Jiří ; Chára, Zdeněk ; Kotek, M.
Velocity measurements of the flow field in an agitated vessel are necessary for the improvement and better understanding of the mixing processes. The obtained results are used for the calculations of the impeller pumping capacity, comparison of the power consumption etc. We performed various measurements of the local velocities in an agitated vessel final results of which should be processed for several purposes so it was necessary to make an analysis of the obtained data suitability and their quality. Analysed velocity data were obtained from the LDA (Laser Doppler Anemometry) and PIV (Particle Image Velocimetry) measurements performed on a standard equipment where the flat bottomed vessel with four baffles was agitated by the six-blade Rushton turbine. The results from both used methods were compared. The frequency analyses were examined as well as the dependency of the data rates, time series lengths etc. The demands for the data processed in the form of the ensemble-averaged results were also established.
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