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The paper discusses some of the recent developments in simulation techniques of thermal processes such as grid refinement, grid orientation, effect of temperature on relative permeability, mathematical models, and solution methods.
Computational fluid dynamics (CFD) research is increasingly much focused towards computationally intensive, eddy resolving simulation techniques of turbulent flows such as large-eddy simulation (LES) and direct numerical simulation (DNS).
The aim of this study was to estimate the power, using simulation techniques, of a group randomized vaccine field trial designed to assess the effect of vaccination on Mycobacterium bovis transmission in badgers.
These force-time histories are established by simulation techniques of crash tests on rigid barriers and are put to use on predefined geometries of piers.
These papers address the data-analytical method design, algorithm development, mathematical modeling, and computational simulation techniques of some translational medical applications.
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We report a new simulation technique of thermal property as well as test results of three inorganic salts.
Overall, this simulation technique of dual-reflux pressure swing adsorption can serve as an effective tool for process design, cost reduction of laboratory and/or plant trails, and enhanced process understanding.
A simulation technique of velocity-based discrete-time control system for open-architecture industrial robots is presented by giving and combining examples of intelligent controls such as genetic algorithms, fuzzy control and neural networks.
To improve the evaluation accuracy, especially for the strong unsteady effect of aerodynamics, the coupling simulation technique of PID (Proportional-Integral-Differential) controller, CFD (Computational Fluid Dynamics) and RBD (Rigid Body Dynamics) is founded.
This paper introduces a derivation and simulation technique of instantaneous stiffness for 6 6 Stewart platforms (hexapods) with the interest in increasing machining accuracy of the new type hexapod machines.
Both of these methodologies are based on simulation techniques for verification of the systems.
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