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Using this method, a suite of biological performance indicators is computed based on simulated data from a computational fluid dynamics (CFD) model of a proposed hydro turbine design.
These are obtained from a computational fluid dynamics (CFD) simulation.
This study was based on quantitative results from a computational fluid dynamics simulation and the Lagrangian multiplier method.
This paper presents results from a computational fluid dynamics (CFD) model to study the air ingress transition behavior.
A linear reduced model is derived from a computational fluid dynamics model (CFD) using proper orthogonal decompositions (POD).
The turbulent flow field was obtained from a computational fluid dynamics code using the k-ε model.
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Through this approach, the thermal characteristics of complex fenestration systems are obtained from a validated Computational Fluid Dynamics model, and a ray-tracing technique is used to obtain Bidirectional Scattering Distribution Function (BSDF) data to represent their optical characteristics.
The results from the present spreadsheet calculator are compared with results from a commercial computational fluid dynamics package (Fluent™; this takes significant expertise and development effort to run)—the two approaches produce essentially the same results.
The process intensification analysis based on flow patterns from a CFD (computational fluid dynamics) simulation indicated that the vortex flow presented multi-dimensional velocities including a V-shaped tangential velocity profile and non-uniform axial velocity profile, which resulted in enhancement of gas liquid contact, mixing, mass transfer, and reaction compared to non-vortex flow.
The stirred tank flow model may be obtained from measurements or from computational fluid dynamics simulations in a straightforward manner.
This reduced-order model was developed using numerical results from a full-order computational fluid dynamics model of a two-dimensional fluidized bed.
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