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Modelling the fluid phase behaviour of polydisperse polyethylene blends would be an important tool for the design, optimization and operation of the production process.
The Smoothed Particle Hydrodynamics (SPH) method is used for modelling the fluid flow because of the free surface and the moving impeller.
Modelling the fluid dispensing process is important because it enables us to understand the process behaviour, as well as determine the optimum operating conditions of the process for a high yield, low cost and robust operation.
Results of the tests indicate that the mean errors and variances of errors of the modelling based on the neural fuzzy networks approach are all better than those of the other existing approaches, statistical regression, fuzzy regression and neural networks, on modelling the fluid dispensing.
The present paper extends this work to simulate both bed structures and, using lattice Boltzmann modelling, the fluid flow and pressure drop through a number of beds for which experimental data are available in the literature.
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Geodynamics uses mathematical theories, laboratory experiments, and numerical simulation to model the fluid motions of the Earth's interior that arise from convective forcing.
"If the arm vibrates with even a nanometer amplitude, you're toast," says Hossein Haj-Hariri, a professor of mechanical engineering at the University of Virginia in Charlottesville, who has modeled the fluid dynamics of air and helium in hard drives.
The semi-empirical Morison equation is used to model the fluid forces.
As a preliminary study, the harmonic force is used to model the fluid force.
Two approaches have been selected: to model the fluid analytically based on the Poiseuille flow theory and to model the fluid numerically following the SPH (Smoothed Particle Hydrodynamics) approach.
A finite element based reservoir simulator is used to model the fluid flow and heat transfer over time.
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