Thursday, February 27 | 2:00 pm - 4:00 pm
Thursday, February 27 | 4:45 pm - 5:45 pm
Modeling interfacial phenomena and superhydrophobicity / Fluid heat and particle transport through porousmedia / Separation and filtration science
Hooman V. Tafreshi, Ph.D.
Assistant Professor, Virginia Commonwealth University
Hooman V. Tafreshi, Ph.D.
Assistant Professor, Virginia Commonwealth University
Assistant Professor, Virginia Commonwealth University
Keynote Speaker
Hooman V. Tafreshi, Ph.D.
Assistant Professor, Virginia Commonwealth University
Assoc. Professor, Director Occupation, Environment and Safety, Curtin University
Ben Mullins, Ph.D.
Assoc. Professor, Director Occupation, Environment and Safety, Curtin University
This work firstly identifies deficiencies in modeling mist as akin to dust particles in the initial capture regime, and discusses the necessity for extending the SFE theory to account for fluid-filter wetting properties.
Secondly, pore-scale simulation of coalescence and re-entrainment processes requires the development of efficient virtual media generation methodologies that are not only independent of imagery inputs, but also accommodate isolated variations in micro-structural properties, for media optimization. An open-source technique for the generation of nonwoven (single/ multimodal fibres), open-cell foam and knitted geometries are presented. The microstructural properties and CFD predictions for pressure drop and saturation are validated using experimental measurements, and the uncertainties due to the influence of computational domain size are quantified.
Further, the resource requirements due substantial variations in the length scales among mist, fibres and coalesced fluid that need to be resolved for CFD of the entire mist/ coalescence filtration process can be overwhelming and thus necessitates multi-scale CFD strategies. The results from such novel Lagrangian-VOF or Euler-Euler-VOF simulations of gas-liquid and liquid-liquid filtration are discussed with examples.
Finally, considering that the largest length scales of the fluid structures are expected during steady state, and that equilibrium conditions are weakly related to mist loading at low loading rates, a pore-network approach is proposed for evaluating steady state saturation and pressure drop, and validated.
Professor & Director of Graduate Studies, University of Minnesota, Department of Mechanical Engineerin
Chris Hogan, Ph.D.
Professor & Director of Graduate Studies, University of Minnesota, Department of Mechanical Engineerin
Professor & Department Head, University of Tennessee at Chattanooga
Christopher Cox, Ph.D.
Professor & Department Head, University of Tennessee at Chattanooga
The mathematical model yields bounding values of filter length, inlet flow rate and pressure drop that arise in the clean filter (no-fouling) case, providing a safe and reasonable operating envelope for the transient case with fouling. Analytical solutions for pressure, flow rate, and permeate flux in the transient case provide insight to both fouling on the filter surface (as a cake) and in the filter media (depth plugging). A generalization of the Darcy equation introduces terms governing a static, incompressible cake layer which grows in time, under laminar flow conditions and time-dependent depth plugging. A distribution function controls the balance between cake deposition and depth plugging in the filter. Modeling provides insight into the relationships between geometry and process parameters and filter performance. Analytical solutions also serve as valuable benchmarks for numerical solutions for more complex mathematical models that cannot be solved analytically.
The models are being developed for use both as predictive tools (given input parameters determine the output) and also in design mode, i.e. determine filter characteristics that will produce optimal results under specified process conditions. The latter capability enables the consideration of econometric criteria such as frequency of regeneration, launch mass and volume. An overview of the applications will be presented, along with the models, results to date and a discussion of continuing work including planned experiments for determining permeability of carbon cakes that form from the particles associated with the PPA reactor.
CEO, Math2Market GmbH
Andreas Wiegmann, Ph.D.
CEO, Math2Market GmbH
Nonwoven filter media performance depends on spatial distribution, orientation, length, curvature, and center line of individual fibers and volume- or weight-percentage and spatial distribution of binder. Fibers and binder which often appear with the same gray values in μCT scans can be separated based on shape by a deep artificial neural network (ANN) trained to distinguish them using modelled artificial 3-D scans of nonwoven with known distribution of binder.
Head of Department Transport Processes, Fraunhofer-Institute For Industrial Mathematics (ITWM)
Dietmar Hietel, Ph.D.
Head of Department Transport Processes, Fraunhofer-Institute For Industrial Mathematics (ITWM)
We present the physical modeling and simulation of meltblown concerning the fila-ment dynamics in this turbulence-driven process. The modeling is embedded in the so-called Cosserat-rod framework which describes the dynamical change of cross-sectional properties along the center line of the filament. These partial differential equations are based on the balance laws for mass, momentum and energy includ-ing visco-elastic effects for stretching and bending. The fiber dynamics are coupled with the surrounding air flow concerning heat and momentum exchange. The turbu-lence of transonic air is causing highly fluctuating velocities which are responsible for the effectiveness of meltblown.
The meltblown process is shown to be a combination of spunbond like uniaxial-stretching near to the nozzle with high air speed and further acceleration by sto-chastic forces caused from turbulent air fluctuations. These interactions between filament dynamics and turbulent air flow are highly complex due to local stretching and cool down together with the visco-elastic behavior of the fibers. The fundamen-tal understanding of its dependency on the material and process parameters togeth-er with the process design enables further optimization concerning higher productiv-ity and/or finer fibers.
Tuesday, February 25 | |||
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9:00am | - | 6:00pm | Filter Media Training Course - Day 1 |
Wednesday, February 26 | |||
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9:00am | - | 3:00pm | Filter Media Training Course - Day 2 |
9:00am | - | 11:00am | Biopharmaceutical I |
11:00am | - | 11:45am | Break |
11:45am | - | 12:45pm | Biopharmaceutical II |
12:45pm | - | 2:00pm | Break |
2:00pm | - | 4:00pm | Membrane Technologies I |
2:00pm | - | 4:00pm | Air/Gas Filtration I |
4:00pm | - | 4:45pm | Break |
4:45pm | - | 5:45pm | Membrane Technologies II |
4:45pm | - | 5:45pm | Air/Gas Filtration II |
Thursday, February 27 | |||
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9:00am | - | 11:00am | Nanofiber Filter Media |
11:00am | - | 11:45am | Break |
11:45am | - | 12:45pm | Nanofiber Filter Media |
12:45pm | - | 2:00pm | Break |
2:00pm | - | 4:00pm | Water Filtration I |
2:00pm | - | 4:00pm | Filter Media Modeling I |
4:00pm | - | 4:45pm | Break |
4:45pm | - | 5:45pm | Water Filtration II |
4:45pm | - | 5:45pm | Filter Media Modeling II |
Friday, February 28 | |||
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9:00am | - | 11:00am | Separation & Manufacturing I |
11:00am | - | 11:45am | Break |
11:45am | - | 12:45pm | Separation & Manufacturing II |
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