199 research outputs found
Computational science of turbulent mixing and combustion
Implicit Large Eddy Simulation (ILES) with high-resolution and high-order computational
modelling has been applied to flows with turbulent mixing and combustion.
Due to the turbulent nature, mixing of fuel and air and the subsequent combustion
still remain challenging for computational fluid dynamics. However, recently ILES, an
advanced numerical approach in Large Eddy Simulation methods, has shown encouraging
results in prediction of turbulent flows. In this thesis the governing equations
for single phase compressible flow were solved with an ILES approach using a finite
volume Godunov-type method without explicit modelling of the subgrid scales. Up to
ninth-order limiters were used to achieve high order spatial accuracy.
When simulating non chemical reactive flows, the mean flow of a fuel burner was compared
with the experimental results and showed good agreement in regions of strong
turbulence and recirculation. The one dimensional kinetic energy spectrum was also
examined and an ideal k−5/
3
decay of energy could be seen in a certain range, which
increased with grid resolution and order of the limiter. The cut-off wavenumbers are
larger than the estimated maximum wavenumbers on the grid, therefore, the numerical
dissipation sufficiently accounted for the energy transportation between large and
small eddies. The effect of density differences between fuel and air was investigated
for a wide range of Atwood number. The mean flow showed that when fuel momentum
fluxes are identical the flow structure and the velocity fields were unchanged by
Atwood number except for near fuel jet regions. The results also show that the effects
of Atwood number on the flow structure can be described with a mixing parameter.
In combustion flows simulation, a non filtered Arrhenius model was applied for the
chemical source term, which corresponds to the case of the large chemical time scale
compared to the turbulent time scale. A methane and air shear flow simulation was
performed and the methane reaction rate showed non zero values against all temperature
ranges. Small reaction rates were observed in the low temperature range due to
the lack of subgrid scale modelling of the chemical source term. Simulation was also
performed with fast chemistry approach representing the case of the large turbulent
time scale compared to the chemical time scale. The mean flow of burner flames were
compared with experimental data and a fair agreement was observed
Innate Immune Effectors in Mycobacterial Infection
Tuberculosis, which is caused by infection with Mycobacterium tuberculosis (Mtb), remains one of the major bacterial infections worldwide. Host defense against Mtb is mediated by a combination of innate and adaptive immune responses. In the last 15 years, the mechanisms for activation of innate immunity have been elucidated. Toll-like receptors (TLRs) have been revealed to be critical for the recognition of pathogenic microorganisms including mycobacteria. Subsequent studies further revealed that NOD-like receptors and C-type lectin receptors are responsible for the TLR-independent recognition of mycobacteria. Several molecules, such as active vitamin D3, secretary leukocyte protease inhibitor, and lipocalin 2, all of which are induced by TLR stimulation, have been shown to direct innate immune responses to mycobacteria. In addition, Irgm1-dependent autophagy has recently been demonstrated to eliminate intracellular mycobacteria. Thus, our understanding of the mechanisms for the innate immune response to mycobacteria is developing
A spectral-based high dynamic range image data format by combination of cosine and wavelet basis functions
画像電子学会第243回研究会 発表スライド ; 開催場所 : 鹿児島大学, 鹿児島市 ; 開催日 : 2009年3月5-6日画像電子学会 第243回研究会講演予稿, 08-05-26, pp.147-153に記載
Sheet Dependence on Superconducting Gap in Oxygen-Deficient Iron-based Oxypnictide Superconductors NdFeAs0.85
Photoemission spectroscopy with low-energy tunable photons on
oxygen-deficient iron-based oxypnictide superconductors NdFeAsO0.85 (Tc=52K)
reveals a distinct photon-energy dependence of the electronic structure near
the Fermi level (EF). A clear shift of the leading-edge can be observed in the
superconducting states with 9.5 eV photons, while a clear Fermi cutoff with
little leading-edge shift can be observed with 6.0 eV photons. The results are
indicative of the superconducting gap opening not on the hole-like ones around
Gamma (0,0) point but on the electron-like sheets around M(pi,pi) point.Comment: 8 pages, 3 figure
Electron Accelerations at High Mach Number Shocks: Two-Dimensional Particle-In-Cell Simulations in Various Parameter Regimes
Electron accelerations at high Mach number collision-less shocks are
investigated by means of two-dimensional electromagnetic Particle-in-Cell
simulations with various Alfven Mach numbers, ion-to-electron mass ratios, and
the upstream electron beta_e (the ratio of the thermal pressure to the magnetic
pressure). We found electrons are effectively accelerated at a super-high Mach
number shock (MA~30) with a mass ratio of M/m=100 and beta_e=0.5. The electron
shock surfing acceleration is an effective mechanism for accelerating the
particles toward the relativistic regime even in two dimensions with the large
mass ratio. Buneman instability excited at the leading edge of the foot in the
super-high Mach number shock results in a coherent electrostatic potential
structure. While multi-dimensionality allows the electrons to escape from the
trapping region, they can interact with the strong electrostatic field several
times. Simulation runs in various parameter regimes indicate that the electron
shock surfing acceleration is an effective mechanism for producing relativistic
particles in extremely-high Mach number shocks in supernova remnants, provided
that the upstream electron temperature is reasonably low
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