Downloads provided by UsageCounts
doi: 10.18452/2791
In this paper, we present modeling and simulation for physical vapor deposition for metallic bipolar plates. In the models, we discuss the application of different models to simulate the transport of chemical reactions of the gas species in the gas-chamber. The so called sputter process is an extremely sensitive process to deposit thin layers to metallic plates. We taken into account lower order models to obtain first results with respect to the gas fluxes and the kinetics in the chamber. The model equations can be treated analytically in some circumstances and complicate multi-dimensional models are solved numerically with a software-packages (UG unstructed grids). Because of multi-scaling and multi-physical behavior of the models, we discuss adapted schemes to solve more accurate in the different domains and scales. The results are discussed with physical experiments to give a valid model for the assumed growth of thin layers.
ddc:510, multi-scale problem convection-diffusion equations, splitting methods, Physical vapor deposition, 510 Mathematik, reaction equations
ddc:510, multi-scale problem convection-diffusion equations, splitting methods, Physical vapor deposition, 510 Mathematik, reaction equations
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 70 | |
| downloads | 44 |

Views provided by UsageCounts
Downloads provided by UsageCounts