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Optimization of in-line mixing at a 90° tee / Optimization of in-line mixing at a 90 degree teeO'Leary, Claudia Dianne 12 1900 (has links)
No description available.
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Numerical simulation of a pipeline tee mixerMonclova, Luis A. 08 1900 (has links)
No description available.
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Optimum dimensions for a side-tee mixerLee, Hsueh-Chi 12 1900 (has links)
No description available.
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Mixing and segregation of particulate solids in a motionless mixerGelves Arocha, Horacio January 2010 (has links)
Digitized by Kansas Correctional Industries
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A study of sampling and scale-up in solids mixingWang, Ruey-Hwa January 2011 (has links)
Digitized by Kansas Correctional Industries
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Parameterization of the oceanic mixed layer use in general circulation modelsHeald, Robert Cameron 20 April 1978 (has links)
The behavior of different parameterizations of mixed layer physics
when used in an oceanic general circulation model (OGCM) having coarse
resolution of the upper ocean is examined. The method of parameterization
is expected to have an important effect on the resulting sea surface
temperature, and hence affect the model's overall fidelity from the viewpoint
of air-sea interaction. Tests of three possible parameterizations
differ in the manner in which the mixed layer depth is determined: predetermination,
diagnostic determination, or prognostic determination.
The sea surface temperature is taken to be equivalent to the top OGCM
layer temperature in the first two methods, while it is found prognostically
in the third method. Results show that for typical forcing cases
such as strong insolation, weak surface cooling or weak winds, mixing is
insufficient to cause heat transfer between the top two OGCM layers,
which occupy the uppermost 500 m of the model. The predetermined and
diagnostically determined mixed layer depth parameterizations reduce to
a diffusive mixing parameterization, while the prognostic approach satisfactorily
models mixed layer depths for all forcing cases. The prognostic
method also agrees most closely with the results of a mixed layer
model and with observations. / Graduation date: 1978
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Valence-Conduction Band Mixing Effect In Type-¢º SuperlatticeChang, Chun-Chin 17 June 2002 (has links)
We study the electronic band structure of bulk within a six-band bond-orbital model. All interaction parameters of this model involved are directly related to parameters for describing bulk bands near the zone center in the k¡Ep finite difference method. To study the conduction-valence band mixing effect, we calculate the electronic band structure for the InAs-GaSb superlattice, within a six-band bond-orbital model. In the InAs-AlSb-GaSb-AlSb superlattice, we find that energy-gap of this material will change rapidly with different AlSb layer thickness. This indicates that the e-X line observed in far-infrared cyclotron-resonance spectrum is originated from conduction-valence band mixing effect. This result is in good agreement with the experimental results.
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Experimental measurement and computational fluid dynamics simulation of mixing in a stirred tank: a reviewOchieng, A, Onyango, M, Kiriamiti, K 05 November 2009 (has links)
Abstract
Stirred tanks are typically used in many reactions. The quality of
mixing generated by the impellers can be determined using either
experimental and simulation methods, or both methods. The experimental
techniques have evolved from traditional approaches, such
as the application of hot-wire anemometry, to more modern ones
like laser Doppler velocimetry (LDV). Similarly, computational fluid
dynamics (CFD) simulation techniques have attracted a lot of
attention in recent years in the study of the hydrodynamics in
stirred tanks, compared to the empirical modelling approach.
Studies have shown that the LDV technique can provide very detailed
information on the spatio-temporal variations in a tank, but the
method is costly. For this reason, CFD simulation techniques may
be employed to provide such data at a lower cost. In recent years,
both integrated experimental and CFD approaches have been used
to determine flow field and to design various systems. Both CFD
and LDV data reveal the existence of flow maldistribution caused by
system design features, and these in turn show that the configurations
that have, over the years, been regarded as standard may not
provide the optimal operating conditions with regards to the system
homogeneity and power consumption. The current trends in CFD
studies point towards an increasing application of more refined
grids, such as in large eddy simulation, to capture turbulent structures
at microscales. This trend will further improve the quality of the
simulation results for processes such as precipitation, in which
micromixing and reaction kinetics are important.
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Mixing processes in a river-floodplain systemPernik, Maribeth 08 1900 (has links)
No description available.
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The role of microscopic mixing in the description of turbulent diffusion in fluid continuum /Guo, Ya January 1992 (has links)
The role of molecular mixing (as opposed to molecular-collision transport) in the description of turbulent diffusion in continuum framework is examined. This is done by comparing a new virtual fluid parcel treatment with the classical fluid particle treatment of the BMDFE (Basic Macroscopically Describable Fluid Element). It is found that the classical fluid particle treatment conceptually excludes molecular mixing between different BMDFEs, due to its postulated constraint that individual BMDFEs maintain their integrities in motion. The new virtual fluid parcel treatment, on the other hand, conceptually incorporates molecular mixing between different BMDFEs, by relaxing this constraint to permit disintegration of individual BMDFEs. The main improvement made by the new virtual fluid parcel treatment lies in the introduction of a feedback mechanism in the form of physically coupled disintegration and integration of the BMDFEs. This improvement suggests that molecular mixing is a controlling agent of the mixing mechanism in every time-step of turbulent diffusion, whose significance would increase cumulatively. By applying the two treatments to the evolution of the diffusion cloud on the level of single time-step diffusion redistribution, it is shown that molecular mixing persistently and cumulatively influences the evolution of the diffusion cloud by reducing the diffusion distribution variance. This indicates that the exclusion of molecular mixing in the classical fluid particle treatment would lead to a potential mathematical-physical inconsistency in the description of turbulent diffusion by exaggerating the diffusion distribution variance. The results of this analysis are qualitatively supported by experiments of passive scalar diffusion in water flow with moderate turbulence intensity. As a preliminary test, a simplified numerical modeling of scalar diffusion based on the virtual fluid parcel treatment is executed in two wind tunnel models. In this case, measur
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