249 research outputs found
A New Source of Reaction - Diffusion Coupling in Confined Systems due to Temperature Inhomogeneity
Diffusion is often accompanied by a reaction or sorption which can induce
temperature inhomogeneities. Monte Carlo simulations of Lennard-Jones atoms in
zeolite NaCaA are reported with a hot zone presumed to be created by a
reaction. Our simulations show that localised hot regions can alter both the
kinetic and transport properties. Further, enhancement of the diffusion
constant is greater for larger barrier height, a surprising result of
considerable significance to many chemical and biological processes. We find an
unanticipated coupling between reaction and diffusion due to the presence of
hot zone in addition to that which normally exists via concentration.Comment: to be published in Phys. Rev. Let
Reduced-Order Modeling of Turbulent Reacting Flows with Application to Ramjets and Scramjets
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90621/1/AIAA-50272-117.pd
Ascent Trajectories of Hypersonic Aircraft: Operability Limits Due to Engine Unstart
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/140638/1/1.c032801.pd
Lattice Kinetics of Diffusion-Limited Coalescence and Annihilation with Sources
We study the 1D kinetics of diffusion-limited coalescence and annihilation
with back reactions and different kinds of particle input. By considering the
changes in occupation and parity of a given interval, we derive sets of
hierarchical equations from which exact expressions for the lattice coverage
and the particle concentration can be obtained. We compare the mean-field
approximation and the continuum approximation to the exact solutions and we
discuss their regime of validity.Comment: 24 pages and 3 eps figures, Revtex, accepted for publication in J.
Phys.
LDA+DMFT Approach to Magnetocrystalline Anisotropy of Strong Magnets
The new challenges posed by the need of finding strong rare-earth free
magnets demand methods that can predict magnetization and magnetocrystalline
anisotropy energy (MAE). We argue that correlated electron effects, which are
normally underestimated in band structure calculations, play a crucial role in
the development of the orbital component of the magnetic moments. Because
magnetic anisotropy arises from this orbital component, the ability to include
correlation effects has profound consequences on our predictive power of the
MAE of strong magnets. Here we show that incorporating the local effects of
electronic correlations with dynamical mean-field theory provides reliable
estimates of the orbital moment, the mass enhancement and the MAE of YCo5.Comment: 7 pages, 4 figures, published versio
LANSCE Digital Low Level RF Upgrade
Incremental upgrades of the legacy low level RF (LLRF) equipment-50 years for
the Los Alamos Neutron Science Center (LANSCE)-involves challenges and problems
not seen with new and total replacement opportunities. The digital LLRF upgrade
at LANSCE has deployed 30 of the 53 required systems as of September 2022. This
paper describes the performance of the digital upgrade, current status, and
future installations along with the technical challenges, including unexpected
challenges, associated with deploying new digital systems in conjunction with
legacy analog equipment. In addition, this paper discusses the operational
details of simultaneous multi-energy beam operations using high energy
re-bunching, beam-type specific set points and simultaneous multi-beam
operations at LANSCE. The adaptability of the digital LLRF systems is essential
as the design is able to accommodate new control and beam parameters associated
with future systems without significant hardware modifications such as the
expected LANSCE Modernization Program. This adaptability of the digital LLRF
technology was recently demonstrated with the Module 1, 201.25-MHz high-power
RF upgrade completed in 2021.Comment: Talk presented at LLRF Workshop 2022 (LLRF2022, arXiv:2208.13680
Extraction kinetics of saponins from quinoa seed (Chenopodium quinoa Willd)
Quinoa has higher protein content (11-16% m/m) and better amino acid profile than cereals and represents a valuable resource for healthy nutrition. The aim of this work was to study the saponins extraction kinetics during washing of soaked quinoa. The experimental curves of saponins content as a function of time was measured at water temperatures of 20, 40, 60, and 70ºC. A spectrophotometric method was proposed to determine total saponins content, while an unsteady state diffusional model was applied to this extraction problem, assuming strict internal control to the mass transfer rate. As a first analysis, the complete analytical solution for constant diffusion coefficient (Deff) using the initial radius (R0) provided an accurate predicted curve at each temperature. The diffusion coefficients (around 10−10 m2s-1), were correlated with temperature using an Arrhenius-type relationship to obtain an activation energy Ea of 16.9 kJ mol-1. The preliminary values of Ea and preexponential factor (D0) thus obtained were used as initial values of a second, more robust fitting where the whole dataset of saponins concentrations as a function of time for all temperatures. The Arrhenius equation was directly inserted into the diffusional solution. The following parameters were obtained: Ea= 17.2 kJ mol-1 and, D0= 3.232×107 m2 s-1, respectively with an overall r2=0.985. Saponins content agreed well with experimental values. As the equation is capable of predicting saponin extraction times for various operating conditions, it can be used within equipment design schemes
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