Computational fluid dynamics (CFD) of complex processes and complicated geometries embraces the transport of momentum, heat, and mass including the description of reaction kinetics and thermodynamics. The paper outlines the numerical models available for analyzing these processes and presents examples of such methodology. The unprecedented growth in computer capability has resulted in efficient...

A significant improvement to the development of CFD-based unsteady aerodynamic reduced-order models (ROMs) is presented. This improvement involves the simultaneous excitation of the structural modes of the CFD-based unsteady aerodynamic system that enables the computation of the unsteady aerodynamic state-space model using a single CFD execution, independent of the number of structural modes. F...

The integration of optimization algorithms with computational fluid dynamics (CFD) is becoming more practical as the software becomes more robust and the hardware more efficient. In order to investigate the application of CFD-based optimization methods in the chemical process industry, two polymer die design examples were explored using different slot die geometries, different CFD codes, and di...

Integral or phenomenological consequence models are extensively used for explosion and dispersion studies at onshore petrochemical facilities. These models will generally ignore the influence of the geometry of the facility on the ventilation and flow patterns, the generation of flammable gas clouds, and any subsequent explosions. Another significant weakness of these models is the inability to...

Hybrid Propulsion is an attractive alternative to conventional liquid and solid rocket motors. This is an active area of research and technological developments. Potential wide application of Hybrid Engines opens the possibility for safer and more flexible space vehicle launching and manoeuvring. The present paper discusses fundamental combustion issues related to further development of Hybrid ...

Modern computational uid dynamics (CFD) software is complex. Often CFD simulations require complex geometries, exible boundary conditions, multiple integrated computational models (for example , heat conduction, structural deformations, gas dynamics, etc.), as well as grid adaptation. As a result of this complexity, the correct implementation of numerical simulation components is actually less ...

Computational fluid dynamics (CFD) analysis may quantify the severity of anatomical airway restriction in obstructive sleep apnea syndrome (OSAS) better than anatomical measurements alone. However, optimal CFD model endpoints to characterize or assess OSAS have not been determined. To model upper airway fluid dynamics using CFD and investigate the strength of correlation between various CFD end...

Different sources of uncertainty in CFD simulations are illustrated by a detailed study of two-dimensional, turbulent, transonic flow in a converging-diverging channel. Runs were performed with the commercial CFD code GASP using different turbulence models, grid levels, and flux-limiters to see the effect of each on the CFD simulation uncertainties. Two flow conditions were studied by changing ...

The integration of building Energy Simulation (ES) and Computational Fluid Dynamics (CFD) programs eliminates many assumptions employed in the separate applications, resulting in more accurate predictions of building performance. This paper discusses the methods used to determine convective heat transfer on interior surfaces of building envelope, which is the key linkage between ES with CFD pro...

CAD models from conceptual design often follow the “over-the-wall” approach for downstream analyses such as FEA, CFD, heat transfer, and vibrations. The CAD-centric approach consists of using the CAD model as a source of data for downstream applications such as mesh generation, and CFD setup. The CAD model used in the CAD-centric approach contains the geometry to be analyzed and all non-geometr...