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In this model, the velocity is contributed by two parts.
In the three dimensional model, the velocity distribution of the gas flow is obtained by solving the momentum equation.
First, in the Wake II model the velocity is modified to include the pipe's encounter with the wake flow when the velocity reverses.
In addition, the constant parameters of the model, the velocity and the activation energy constants, associated to the kinetic model, were calculated.
The stokes Monte Carlo radiative transfer code has been extended to model the velocity dependence of the polarization of emission lines.
In the transient one-dimensional model, the velocity transition along the flame was calculated with a continuity equation and an axial momentum equation.
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In the "AschFlow" model the velocities are based on the slope friction of the rheological model, this means that the velocity is controlled not only by the topography but by the frictional coefficients that are parameterized inside the model.
Equations (1)–(3), below, model the velocities of these reactions using an extension of Michaelis-Menten kinetics [ 51] that allows for competition between Pde1, Pde2 and Ira for PKA.
For further understanding and verification of numerical models the velocity field is measured by "micro Particle Image Velocimetry" (μ-PIV).
This study investigates the capacity of artificial neural network (ANN) models for representing and modelling the velocity distributions of combined open channel flows.
We modeled the velocity characteristics of the flow around the sensor and through the backside pore using the finite element method (FEM).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com