Gotowa bibliografia na temat „Electrostatic turbulence”

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Artykuły w czasopismach na temat "Electrostatic turbulence"

1

Garbet, X., L. Laurent, and A. Samain. "Nonlinear electrostatic turbulence." Physics of Plasmas 1, no. 4 (1994): 850–62. http://dx.doi.org/10.1063/1.870744.

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Connor, J. W. "Tokamak turbulence-electrostatic or magnetic?" Plasma Physics and Controlled Fusion 35, SB (1993): B293—B305. http://dx.doi.org/10.1088/0741-3335/35/sb/024.

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Riccardi, C., D. Caspani, L. Gamberale, G. Chiodini, and M. Fontanesi. "Turbulence Generated by Electrostatic Fluctuations." Physica Scripta T75, no. 1 (1998): 232. http://dx.doi.org/10.1238/physica.topical.075a00232.

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Chen, Deng Feng, Xiao Dong Yang, and Hai Yan Xiao. "Numerical Simulation of Particle Trajectory in Electrostatic Precipitator." Applied Mechanics and Materials 568-570 (June 2014): 1743–48. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.1743.

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The performance of Electrostatic Precipitator (ESP) is significantly affected by complex flow distribution. Recent years, many numerical models have been developed to model the particle motion in the electrostatic precipitators. The computational fluid dynamics (CFD) code FLUENT is used in description of the turbulent gas flow and the particle motion under electrostatic forces. The gas flow are carried out by solving the Reynolds-averaged Navier-Stokes equations and turbulence is modeled by the k-ε turbulence model. The effect of electric field is described by a series equations, such as the electric field and charge transport equations, the charged particle equation, the charge conservation equation, the mass and momentum equations of gas, the mass and momentum equations of particle and so on. The particle phase is simulated by using Discrete Phase Model (DPM). The simulations showed that the particle trajectory inside the ESP is influenced by both the aerodynamic and electrostatic forces. The simulated results have been validated by the established data.
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HELLER, M. V. A. P., I. L. CALDAS, A. A. FERREIRA, E. A. O. SAETTONE, and A. VANNUCCI. "Tokamak turbulence at the scrape-off layer in TCABR with an ergodic magnetic limiter." Journal of Plasma Physics 73, no. 3 (2007): 295–306. http://dx.doi.org/10.1017/s0022377806004569.

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AbstractThe influence of an ergodic magnetic limiter (EML) on plasma turbulence is investigated in the Tokamak Chauffage Alfvén Brésilien (TCABR), a tokamak with a peculiar natural superposition of the electrostatic and magnetic fluctuation power spectra. Experimental results show that the EML perturbation can reduce both the magnetic oscillation and the electrostatic plasma turbulence. Whenever this occurs, the turbulence-driven particle transport is also reduced. Moreover, a bispectral analysis shows that the nonlinear coupling between low- and high-frequency electrostatic fluctuations increases significantly with the EML application.
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6

Hamed, M., M. J. Pueschel, J. Citrin, M. Muraglia, X. Garbet, and Y. Camenen. "On the impact of electric field fluctuations on microtearing turbulence." Physics of Plasmas 30, no. 4 (2023): 042303. http://dx.doi.org/10.1063/5.0104879.

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The magnetic drift and the electric potential play an important role in microtearing destabilization by increasing the growth rate of this instability in the presence of collisions, while in electrostatic plasma micro-turbulence, zonal electric potentials can have a strong impact on turbulent saturation. A reduced model has been developed, showing that the Rechester–Rosenbluth model is a good model for the prediction of electron heat diffusivity by microtearing turbulence. Here, nonlinear gyrokinetic flux-tube simulations are performed in order to compute the characteristics of microtearing turbulence and the associated heat fluxes in tokamak plasmas and to assess how zonal flows and zonal fields affect saturation. This is consistent with a change in saturation mechanism from temperature corrugations to zonal field- and zonal flow-based energy transfer. It is found that removing the electrostatic potential causes a flux increase, while linearly stabilization is observed.
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Zakharov, V. E., and C. V. Meister. "Transport of thermal plasma above the auroral ionosphere in the presence of electrostatic ion-cyclotron turbulence." Annales Geophysicae 17, no. 1 (1999): 27–36. http://dx.doi.org/10.1007/s00585-999-0027-3.

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Abstract. The electron component of intensive electric currents flowing along the geomagnetic field lines excites turbulence in the thermal magnetospheric plasma. The protons are then scattered by the excited electromagnetic waves, and as a result the plasma is stable. As the electron and ion temperatures of the background plasma are approximately equal each other, here electrostatic ion-cyclotron (EIC) turbulence is considered. In the nonisothermal plasma the ion-acoustic turbulence may occur additionally. The anomalous resistivity of the plasma causes large-scale differences of the electrostatic potential along the magnetic field lines. The presence of these differences provides heating and acceleration of the thermal and energetic auroral plasma. The investigation of the energy and momentum balance of the plasma and waves in the turbulent region is performed numerically, taking the magnetospheric convection and thermal conductivity of the plasma into account. As shown for the quasi-steady state, EIC turbulence may provide differences of the electric potential of ΔV≈1–10 kV at altitudes of 500 < h < 10 000 km above the Earth's surface. In the turbulent region, the temperatures of the electrons and protons increase only a few times in comparison with the background values.Key words. Magnetospheric physics (electric fields; plasma waves and instabilities)
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8

Tucker, P. G. "Computation of Particle and Scalar Transport for Complex Geometry Turbulent Flows." Journal of Fluids Engineering 123, no. 2 (2001): 372–81. http://dx.doi.org/10.1115/1.1365959.

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The prediction of particle and scalar transport in a complex geometry with turbulent flow driven by fans is considered. The effects of using different turbulence models, anisotropy, flow unsteadiness, fan swirl, and electrostatic forces on particle trajectories are shown. The turbulence models explored include k−l, zonal k−ε/k−l, and nonlinear eddy viscosity models. Particle transport is predicted using a stochastic technique. A simple algorithm to compute electrostatic image forces acting on particles, in complex geometries, is presented. Validation cases for the particle transport and fluid flow model are shown. Comparison is made with new smoke flow visualization data and particle deposition data. Turbulence anisotropy, fan swirl, and flow unsteadiness are shown to significantly affect particle paths as does the choice of isotropic turbulence model. For lighter particles, electrostatic forces are found to have less effect. Results suggest, centrifugal forces, arising from regions of strong streamline curvature, play a key particle deposition role. They also indicate that weaknesses in conventional eddy viscosity based turbulence models make the accurate prediction of complex geometry particle deposition a difficult task. Axial fans are found in many fluid systems. The sensitivity of results to their modeling suggests caution should be used when making predictions involving fans and that more numerical characterization studies for them could be carried out (especially when considering particle deposition). Overall, the work suggests that, for many complex-engineering systems, at best (without excessive model calibration time), only qualitative particle deposition information can be gained from numerical predictions.
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9

Angelis, U. de, A. Forlani, A. Litvak, V. N. Tsytovich, R. Bingham, and P. K. Shukla. "Particle acceleration by weak electrostatic turbulence." Physica Scripta T50 (January 1, 1994): 90–97. http://dx.doi.org/10.1088/0031-8949/1994/t50/015.

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10

Neto, C. Rodrigues, Z. O. Guimarães-Filho, I. L. Caldas, I. C. Nascimento, and Yu K. Kuznetsov. "Multifractality in plasma edge electrostatic turbulence." Physics of Plasmas 15, no. 8 (2008): 082311. http://dx.doi.org/10.1063/1.2973175.

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