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A parametric study based on design of experiments (DoE) techniques was carried out by computational simulation in order to evaluate the effect that design parameters have on heat transfer and pressure loss of an impinging jet in a cross-flow configuration.
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The convergence behavior and numerical stability of the proposed online algorithm are evaluated by computational simulations in two multiple-input and multiple-output models that represent a fourth order RLC circuit with two input voltages and two controllable voltage levels, and a doubly-fed induction generator with six inputs and six outputs for wind energy conversion systems.
Techniques such as visual inspection, electronic microscopy, optical microscopy, determination of mechanical properties, design analysis by computational simulation and spectrometry were used in this investigation.
Those questions are examined by computational simulation experiments on parametric design scenarios in the case study of a hypothetical neighborhood in Shanghai.
In addition, the total workspace mapping, singularity loci and interference regions of the optimum 3-RRR SPM were also attained in this study by computational simulation.
Hereby, we therefore wrote a Perl script to generate in silico data by computational simulation (Supplementary File 5).
By computational simulation, the time profiles of the stochastic regulatory system are shown in Fig. 7. Obviously, this system can not work properly.
These parts are integrated by computational simulation engineering.
Subsequent evaluation by computational simulation proves its sufficiency to function well.
This simple model was supported by computational simulation.
The optimized transfer function was applied to a designed pathway that was evaluated by computational simulation.
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