877 research outputs found
Methoden der kontrolle der mehlqualität für brotproduktion
Brot ist eines der wichtigsten Lebensmittel, das die Menschen jeden Tag verbrauchen. Dieses
Lebensmittelprodukt wird durch das Backen des Teigs erhalten, der mindestens aus Mehl und Wasser
besteht. Meistens wird noch Salz hinzugefügt sowie auch Backpulver benutzt, solches wie Hefe. Für
Brotproduktion benutzt man Weizenmehl und Roggenmehl, seltener Maismehl, Gerstenmehl und
anderes
Electron Modulation Instability in the Strong Turbulent Regime for Electron Beam Propagation in Background Plasma
We study collective processes for an electron beam propagating through a
background plasma using simulations and analytical theory. A new regime where
the instability of a Langmuir wave packet can grow locally much faster than ion
frequency ({\omega}_pi) is clearly identified. The key feature of this new
regime is an Electron Modulational Instability that rapidly creates a local
Langmuir wave packet, which in its turn produces local charge separation and
strong ion density perturbations because of the action of the ponderomotive
force, such that the beam-plasma wave interaction stops being resonant. Three
evolution stages of the process and observed periodic burst features are
discussed. Different physical regimes in the plasma and beam parameter space
are clearly demonstrated for the first time.Comment: 19 pages, 3 figure
Physical Regimes of Electrostatic Wave-Wave nonlinear interactions generated by an Electron Beam Propagation in Background Plasma
Electron-beam plasma interaction has long been a topic of great interest. The
validities of Quasi-Linear (QL) theory and Weak Turbulence (WT) theory are
limited by the requirement of sufficiently dense mode spectrum and small wave
amplitude. In this paper, by performing a large number of high resolution
two-dimensional (2D) particle-in-cell (PIC) simulations and using analytical
theories, we extensively studied the collective processes of a mono-energetic
electron beam emitted from a thermionic cathode propagating through a cold
plasma. We show that initial two-stream instability between the beam and
background cold electrons is saturated by wave trapping rather than QL theory.
Further evolution occurs due to strong wave-wave nonlinear processes. We show
that the beam-plasma interaction can be classified into four different physical
regimes in the parameter space for the plasma and beam parameters. The
differences between the different regimes are analyzed in detail. For the first
time, we identified a new regime in strong Langmuir turbulence featured by what
we call Electron Modulational Instability (EMI) that creates a local Langmuir
wave packet faster than ion frequency ({\omega}_pi) and ions initially do not
respond to EMI in the initial growing stage. On a longer timescale, the action
of the ponderomotive force produces very strong ion density perturbations so
that the beam-plasma wave interaction stops being resonant. Consequently, in
this EMI regime beam-plasma interaction is a periodic burst (intermittent)
process. The beams are strongly scattered, and the Langmuir wave spectrum is
significantly broadened, which gives rise to the strong heating of bulk
electrons. Some interesting phenomena in the strong turbulent regime are also
discussedComment: 65 pages, 19 figure
Ключові аспекти двостороннього співробітництва України і Китайської Народної Республіки на сучасному етапі (Key aspects of the bilateral cooperation between Ukraine and the people’s Republic of China at the present stage)
У статті досліджено ключові аспекти двостороннього
співробітництва України та Китайської Народної Республіки. Визначено стан відносин, виокремлено пріоритетні сфери
співпраці та перспективи подальшого партнерства. Проаналізовано проблеми та виклики у відносинах на сучасному
етапі.
(The article highlights the key aspects of bilateral cooperation
between Ukraine and the People’s Republic of China. The state of
relations is defined, priority areas of cooperation and prospects of
further partnership are highlighted. The problems and challenges
in the relations at the present stage are analyzed.
Direct Implicit and Explicit Energy-Conserving Particle-in-Cell Methods for Modeling of Capacitively-Coupled Plasma Devices
Achieving entire large scale kinetic modelling is a crucial task for the
development and optimization of modern plasma devices. With the trend of
decreasing pressure in applications such as plasma etching, kinetic simulations
are necessary to self-consistently capture the particle dynamics. The standard,
explicit, electrostatic, momentum-conserving Particle-In-Cell method suffers
from tight stability constraints to resolve the electron plasma length (i.e.
Debye length) and time scales (i.e. plasma period). This results in very high
computational cost, making this technique generally prohibitive for the large
volume entire device modeling (EDM). We explore the Direct Implicit algorithm
and the explicit Energy Conserving algorithm as alternatives to the standard
approach, which can reduce computational cost with minimal (or controllable)
impact on results. These algorithms are implemented into the well-tested
EDIPIC-2D and LTP-PIC codes, and their performance is evaluated by testing on a
2D capacitively coupled plasma discharge scenario. The investigation revels
that both approaches enable the utilization of cell sizes larger than the Debye
length, resulting in reduced runtime, while incurring only a minor compromise
in accuracy. The methods also allow for time steps larger than the electron
plasma period, however this can lead to numerical heating or cooling. The study
further demonstrates that by appropriately adjusting the ratio of cell size to
time step, it is possible to mitigate this effect to acceptable level
Numerical thermalization in 2D PIC simulations: Practical estimates for low temperature plasma simulations
The process of numerical thermalization in particle-in-cell (PIC) simulations
has been studied extensively. It is analogous to Coulomb collisions in real
plasmas, causing particle velocity distributions (VDFs) to evolve towards a
Maxwellian as macroparticles experience polarization drag and resonantly
interact with the fluctuation spectrum. This paper presents a practical
tutorial on the effects of numerical thermalization in 2D PIC applications.
Scenarios of interest include simulations which must be run for many thousands
of plasma periods and contain a population of cold electrons that leave the
simulation space very slowly. This is particularly relevant to many low
temperature plasma discharges and materials processing applications. We present
numerical drag and diffusion coefficients and their associated timescales for a
variety of grid resolutions, discussing the circumstances under which the
electron VDF is modified by numerical thermalization. Though the effects
described here have been known for many decades, direct comparison of
analytically derived, velocity-dependent numerical relaxation timescales to
those of other relevant processes has not often been applied in practice due to
complications that arise in calculating thermalization rates in 1D simulations.
Using these comparisons, we estimate the impact of numerical thermalization in
several example low temperature plasma applications including capacitively
coupled plasma (CCP) discharges, inductively coupled plasma (ICP) discharges,
beam plasmas, and hollow cathode discharges. Finally, we discuss possible
strategies for mitigating numerical relaxation effects in 2D PIC simulations
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