Multi-scale and Simulation Models
To reach this goal, in previous Tasks we have clarified basic physical mechanisms that determine (as a function of applied AC/HF or pulse voltage, resulting electric current, pressure and temperature of the basic gas) the rates of ionization, stripping, electron capture and excitation of atoms, ions and molecules; the ionization stability and life time of the positive and negative carriers; the glow-to-arc-transition; the rate of electron, atom, and ion collisions; the propagation of ionizing waves; profile of the electric field in the chamber; charge and neutral atoms density profiles; profiles of the ion and electron temperatures and other important characteristics, important for the electric generator applications. These developments is done in close collaboration with experimental group(s) which will be responsible for the experimental tests of the above mentioned properties and financial management personal, to estimate, for example, the cost of their production, potentially available markets for final products.
As a result, we will have by multi-scale theoretical and numerical simulation models that starts on the atomic scale level, going to macro-scale via set of intermediate scale models. These models will be formulated, interconnected and integrated by using model based tool and languages such XML, UML and SysML. Finally, we describe resulting plasma parameters in the continuous media approximation using also relevant homogenization techniques like multiscale convergence, asymptotic expansion method, stochastic homogenization, etc. This will allow us to proceed to and to suggest perspective versions of the confinement apparatus that will be tested experimentally.
The final selection of the model architecture and its design that will be implemented in this Task. This allow us to:
(1) standardize of the model interface;
(2) utilize the model based design and their implementation;
(3) modeling of the systems with their different constituents;
(4) allow the interaction of the models in order to easy the overall the final system design.