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In this study, a two-dimensional numerical model is developed for simulating these processes by solving the depth-averaged shallow-water non-hydrostatic equations (SNHE).
The model describes combustion processes by solving strained premixed flamelets, tabulating the results in terms of a progress variable and a hydrogen radical, and invoking a presumed PDF framework to account for subfilter physics.
E.g. the validated knowledge on cognitive processes by solving the typical intrapreneurship activity of creating a GANTT-chart (see Fig. 2)—specified within the Q matrix enables teachers to understand apprentices' cognitions and therefore to develop differentiating instructional concepts on a more effective way.
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First, the model is used to determine the regions of attainable particle sizes for LAM batch cooling sonocrystallization process by solving appropriate dynamic optimization problems.
Wave modeling, also called tomographic, techniques perform a minimization process by solving iteratively Maxwell's equations for a set of possible scan scenarios until the difference between the measured data and the analytical solution satisfies a stop criterion [12 15].
At the second tier, actual control actions are determined in consideration of process constraints by solving a QP problem, which is formulated by linearizing the nonlinear model around the LQI trajectory.
The optimal operating conditions of the proposed processes are determined by solving nonlinear programming.
The electrical field, the flow field, and the concentration field during dispensing processes were obtained by solving this theoretical model numerically.
The evaporation process was analysed by solving appropriate mass transfer and heat transfer equations.
Also, the simulator can dynamically make in-process scheduling decision by solving conflicts for resources (workstation availability).
The estimation process is performed by solving an optimization problem based on minimizing the beamformer sensitivity and enforcing the estimate not to converge to any of the interference steering vectors.
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