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Discrete Element Method simulations have been performed for various values of the main operating conditions.
In last, to show the effectiveness of the proposed control method, simulations have been conducted under the conditions of mass inertia uncertainty and external disturbances, and the results, in comparison with the existing methods have been demonstrated.
Discrete element method simulations have shown, however, that the particle axial motion can be accurately modeled by a combination of advective and diffusive motion characterized by an axial Peclet number.
To evaluate the performance of the proposed VS method, simulations have been conducted.
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To validate the performance of M-ISA based method, simulations has been carried out for three benchmarked IIR systems using same order and reduced order system.
The bar rolling experiment and the rigid-plastic FEM (finite element method) simulation have been carried out to verify the novel approach.
Sano et al. through the finite element method simulation have shown that, by reducing of the delay between the consecutive bipolar pulses, it would be possible to achieve the doubling of the transmembrane voltage and, therefore, promote the efficacy of the treatment [ 30].
To verify the performance of the proposed method, several simulations have been carried out in Matlab/Simulink environment for various shading patterns.
Traditionally, crystal plasticity finite element method (CPFEM) simulations have been used to capture the variability in the microstructure-scale response of polycrystalline metals.
Discrete element method (DEM) simulations have recently been used to investigate collision-scale measurements such as collision frequency and impact velocity distributions.
Computational methods and simulations have become an essential part of design and analysis of composite materials and structures.
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CEO of Professional Science Editing for Scientists @ prosciediting.com