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There have been few discussions on using Computational Fluid Dynamics (CFD) without experimental validation. Pairing experimental data, uncertainty analysis, and analytical predictions provides a comprehensive approach to verification and is the current state of the art. With pressed budgets, collecting experimental data is rare or non-existent. This paper investigates and proposes a method to perform CFD uncertainty analysis only from computational data. The method uses current CFD uncertainty techniques coupled with the Student-T distribution to predict the heat transfer coefficient over a at plate. The inputs to the CFD model are varied from a specified tolerance or bias error and the difference in the results are used to estimate the uncertainty. The variation in each input is ranked from least to greatest to determine the order of importance. The results are compared to heat transfer correlations and conclusions drawn about the feasibility of using CFD without experimental data. The results provide a tactic to analytically estimate the uncertainty in a CFD model when experimental data is unavailable

Volume 2-Computational Fluid dynamics and Wave Propagation; Parallel Computing; Concurrent and Supercomputing; Computational Physics/Computational Chemistry and Evolutionary Systems.

Volume 2-Computational Fluid dynamics and Wave Propagation; Parallel Computing; Concurrent and Supercomputing; Computational Physics/Computational Chemistry and Evolutionary Systems.

-computational fluid dynamics; a computational fluid dynamics model of flow and settling in sedimentation tanks; advances in computational fluid dynamics applied to the greenhouse environment; fluid dynamics analysis of a space vehicle entering the mars atmosphere; air movement within enclosed road-objects with contra-traffica cdf-investigation; computational fluid dynamics and discrete element method applied to centrifuges; cfd and thermography techniques applied in cooling systems designs; computational fluid dynamics modelling of photochemical reactors; aerodynamic design of the vertical takeoff hopper concept of future launchers preparatory program; fluid-structure interaction of a radial turbine; industrial sprays-experimental characterization and numerical modeling; multidimensional design of hydraulic components and systems; study of an individual air-conditioning energy-saving equipment; unsteady differentiation of aerodynamic coefficients-methodology and applications; use of fluid dynamic simulation to improve the design of spouted beds-

The Air Force SEEK EAGLE Office (AFSEO), Eglin AFB, FL, is the United States Air Force (USAF) authority for weapons certification efforts. AFSEO performs test and evaluation for aircraft/store compatibility certification. Computational fluid dynamics (CFD) is employed to support this process. Determining the flow about an aircraft/store combination can be extremely difficult. Complicated geometry features such as pylons, launchers, grid fins, and internal weapons bays create severe aerothermodynamic and acoustic environments which are challenging to numerically simulate. Rapidly and accurately modeling the trajectory of store separation in a high-volume simulation environment presents an additional challenge. The USAF requirement for numerous, simultaneous and quick-reaction solutions for a wide variety of stores and aircraft can only be accomplished through application of parallel high performance computing resources that meet the significant computational and memory demands associated with the certification computational environment. Before operational use, all aircraft/store configurations must be certified for safe loading, carriage and jettison/release. AFSEO provides flight certification recommendations which are based on combinations of engineering analysis, ground, and flight testing. Engineering analyses is provided by disciplines in carriage loads, store separations, flutter, ballistics, stability and control, and electromagnetic compatibility, and interference. The AFSEO Computational Aeromechanics Team provides time-critical CFD support for engineering analyses to optimize ground and flight testing This contribution takes the form of carriage aerodynamic loads, store separation predictions, and visualized flow field physics. The knowledge created reduces risk, lowers cost, and speeds the fielding of new weapons. This paper discusses six of the most recently applied AFSEO CFD tasks related to specific aircraft/store investigations and certifications.

The Air Force SEEK EAGLE Office (AFSEO), Eglin Air Force Base (AFB), FL, is the United States Air Force (USAF) authority for weapons certification efforts. AFSEO performs test and evaluation for aircraft/store compatibility certification and uses Computational Fluid Dynamics (CFD) to support this process. Determining the flow about an aircraft/store combination can be extremely difficult. Complicated geometry such as pylons, launchers, and internal weapons bays can create severe acoustic and aerothermodynamic environments, which are challenging to numerically simulate. The additional challenge of rapidly and accurately simulating the trajectory of a store separation in a high-volume simulation environment is beyond the capabilities of most CFD programs. The USAF requirement for numerous, simultaneous and quick-reaction solutions for a wide variety of stores and aircraft can only be accomplished through application of parallel high-performance computing resources that meet the significant computational and memory demands of the various cases.

The Air Force SEEK EAGLE Office (AFSEO), Eglin Air Force Base (AFB), FL, is the United States Air Force (USAF) authority for weapons certification efforts. AFSEO performs test and evaluation for aircraft/store compatibility certification and uses Computational Fluid Dynamics (CFD) to support this process. Determining the flow about an aircraft/store combination can be extremely difficult. Complicated geometry such as pylons, launchers, and internal weapons bays can create severe acoustic and aerothermodynamic environments, which are challenging to numerically simulate. The additional challenge of rapidly and accurately simulating the trajectory of a store separation in a high-volume simulation environment is beyond the capabilities of most CFD programs. The USAF requirement for numerous, simultaneous and quick-reaction solutions for a wide variety of stores and aircraft can only be accomplished through application of parallel high-performance computing resources that meet the significant computational and memory demands of the various cases.