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Modeling Aspects of Plasma-Enhanced Chemical Vapor Deposition of Carbon-Based Materials
Published in R. Mohan Sankaran, Plasma Processing of Nanomaterials, 2017
Uwe Kortshagen, Ming Mao, Erik Neyts, Annemie Bogaerts
There exist several plasma modeling approaches in the literature, including analytical models, zero-dimensional (0D) chemical kinetics models, one-dimensional (1D) or two-dimensional (2D) fluid approaches, Boltzmann models, Monte Carlo (MC) and particle-in-cell–Monte Carlo collision (PIC-MCC) simulations and hybrid approaches. These models will be explained below in a bit more detail. Table 10.1 gives a literature overview of the different modeling approaches applied to PECVD. Although the overview in this book chapter is mainly limited to hydrocarbon plasmas and carbon-related films, the table also summarizes modeling efforts for silicon-related films, to demonstrate that the work on carbon films is representative of PECVD in general.
FERMI: Fusion Energy Reactor Models Integrator
Published in Fusion Science and Technology, 2023
V. Badalassi, A. Sircar, J. M. Solberg, J. W. Bae, K. Borowiec, P. Huang, S. Smolentsev, E. Peterson
The classical approach to plasma source modeling30,31 has been thoroughly validated. In this approach, the plasma source is parameterized based on the ion density and temperature distribution. The plasma parameterization introduced by Fausser et al.30 is used to model the source term. In the FERMI framework, the plasma physics is modeled using the integrated plasma modeling environment IPS-FASTRAN (Ref. 18). The IPS-FASTRAN framework couples the trapped-gyro Landau-fluid (TGLF) core transport model35 and the edge pedestal (EPED) model.36 IPS-FASTRAN models the external heating mechanisms, including helicon H/CD and NBI. It also includes MHD equilibrium and stability codes. The main components of IPS-FASTRAN are presented in Fig. 7.
A New Integrated Analysis Suite for Fast-Ion Study in KSTAR
Published in Fusion Science and Technology, 2023
M. W. Lee, J. Kang, N. C. Logan, M. J. Choi, L. Jung, J. Kim, M. G. Choi, M. H. Kim, B. A. Grierson, S. P. Smith, O. Meneghini, M. Romanelli, C. Sung
Figure 8 presents the example of plasma modeling of discharge 22937 using TRANSP/NUBEAM and equilibrium reconstruction. Both data procedures are conducted in the analysis suite. In Fig. 8a, fast-ion pressure at each time is calculated with NUBEAM. Here, fast-ion diffusivity is deduced from the total power balance of plasma, and it is shown that the diffusivity is much reduced at the chirping mode active phase (6.5 s) than at the TAE active phase (3.35 s, 8.2 s). In addition, we can analyze the change in transport in connection with the magnetic shear change, shown in Fig. 8b. At 6.5 s, the q-profile is much altered by the ECCD application. By integrated modeling in the analysis suite, we can get reliable equilibrium data that reflect the injected current drive at a specific position well.
Modeling the Edge-Plasma Interface for Liquid-Lithium Walls in FNSF
Published in Fusion Science and Technology, 2019
M. E. Rensink, T. D. Rognlien, C. E. Kessel
Edge-plasma modeling is used to predict the interface behavior between the DT ions making up the core particle exhaust and the lithium vapor evaporating from the liquid walls. Because the evaporation depends strongly on the surface temperature, the largest lithium source is expected near the divertor plates. A set of steady-state edge-plasma solutions is found where upstream, adjacent to the core plasma, the DT ions dominate while in the divertor region, lithium ions dominate, having densities in excess of 1021 m−3. The high lithium density results in strong lithium line radiation that dissipates more that 90% of the exhaust power and results in peak wall power loading of ~2 MW/m2 in the divertor region. The lithium flux from the divertor plate and nearby walls needed to reach these conditions corresponds to surface temperatures in the range of 700°C to 750°C.