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- Additive manufacturing; Convective heat transfer; Surface roughness; Computational fluid dynamics; Discrete Element Roughness Method (1)
- Aerosol dynamics; Ventilation effects; Pathogen transmission; Computational fluid dynamics; Social distancing (1)
- Alumina coatings; Lunar exploration; Wear resistance; Mechanical properties; Surface energy (1)
- Bio-inspired propulsion; Numerical modeling; Fluid dynamics; Undulating mechanisms; Efficiency metrics (1)
- Blisk dynamics; Mistuning characterization; Vibration localization; Modal assurance criterion; Engine-order forcing (1)
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- Boron carbide; Mechanical properties; Neutron absorption; Spark Plasma Sintering; Fracture toughness (1)
- CMAS infiltration; Residual stress; High temperature coatings; Raman spectroscopy; Turbine engines (1)
- Carbon nanotubes; Piezoresistivity; Viscoelasticity; Nanocomposites; Strain sensing (1)
- Coaxial rotors; Wing design; Computational fluid dynamics; Aerodynamic performance; Flight conditions (1)
- Combustion liner; Sand ingestion; Cooling geometries; Particulate deposition; Aerospace maintenance (1)
- Composite booms; Eccentric loading; Finite element analysis; Buckling behavior; Solar sails (1)
- Computational fluid dynamics; Aerodynamic heating; Hypersonic flow; Shock layer; Drag reduction (1)
- Computational fluid dynamics; Aerodynamic quantification; Control volume techniques; Fluid momentum; Energy components (1)
- Coupled Radial Basis Functions; Nonlinear optimal control; Numerical methods; Shape parameter optimization; Boundary value problems (1)
- Deployable drones; Aerodynamic design; Computational Fluid Dynamics; Propeller testing; Aerodynamic modeling (1)
- Deployable structures; Propeller blade; Snap through buckling; Structural architecture; Computational analysis (1)
- Detonation combustion; Liquid RP-2; Rocket propulsion; Thrust measurement; Spray dynamics (1)
- Detonation dynamics; Carbon black; Hydrogen-air mixtures; Stagnation pressure; Combustion efficiency (1)
- Detonation engine; Propulsion technology; Fuel injection; Thermodynamic efficiency; Experimental research (1)
- Detonation interaction; Liquid fuel combustion; Shock wave analysis; Fuel droplet ignition; Aerospace propulsion (1)
- Detonation transition; Flame acceleration; Turbulence effects; High-speed diagnostics; Compressibility (1)
- Detonation tube; Liquid fuel droplets; Experimental validation; Pressure measurements; Laser spectroscopy (1)
- Detonation wave properties; Mode transition instability; Rotating detonation engine; Combustion instabilities; Operating conditions (1)
- Droplet breakup; Detonation wave; RP-2 fuel; Shadowgraphy; Explosion dynamics (1)
- Droplet breakup; Hypersonic vehicles; Viscoelastic fluids; Multi-scale modeling; Viral transmission (1)
- Elliptical fairing; Bluff body; Numerical modeling; Aerodynamic optimization; Wake effects (1)
- Flow-induced vibration; Fluid-structure interaction; Experimental investigation; Numerical modeling; Vibration characteristics (1)
- Forward osmosis; Polyelectrolyte membranes; Spacecraft wastewater; Nanofiltration; Water reclamation (1)
- Functionally graded materials; Additive manufacturing; Sandwich structures; Mechanical characterization; Flexural stiffness (1)
- Hybrid models; Recurrent neural networks; Fatigue crack growth; Data-driven kernels; Numerical integration (1)
Articles 61 - 66 of 66
Full-Text Articles in Aerospace Engineering
Viscoelastic Analysis Of High Strain Composites For Deployable Structures In Space Applications, Andrew Gomez-Delrio
Viscoelastic Analysis Of High Strain Composites For Deployable Structures In Space Applications, Andrew Gomez-Delrio
Electronic Theses and Dissertations, 2020-2023
Thin-ply composite laminates capable of enduring high strains are currently under investigation for compliant deployable spacecraft structures. Deployable structures such as booms fabricated from these materials can be flattened and coiled to high curvatures, achieving a compact configuration for stowage. Once in orbit, they are released with minimal actuation for deployment, allowing the operational geometry to be recovered. Previous studies have shown that the viscoelastic properties of the composite epoxy matrix can negatively impact final shape accuracy due to stress relaxation during stowage. In addition, since the strain energy stored is relied upon for deployment, considerable relaxation can potentially result …
Evaluation Of Convective Heat Transfer Numerical Methods On Rough Surfaces From Additive Manufacturing, Jose Urcia
Evaluation Of Convective Heat Transfer Numerical Methods On Rough Surfaces From Additive Manufacturing, Jose Urcia
Electronic Theses and Dissertations, 2020-2023
The high versatility of additive manufacturing has led to an increase in use in a number of different fields. Surface roughness then comes as a natural consequence of additive manufacturing which interferes with a smooth wall assumption such as those found in gas turbine blades. The Discrete Element Roughness Method (DERM) has been used to improve convective heat transfer predictions on surface roughness. This work aims to validate the core momentum and heat transfer correlation of DERM through an evaluation of Computational fluid dynamics (CFD)-based solution of the flow around individual roughness elements with the goal of improving the correlations. …
Rapid Orbital Motion Emulator (Rome): Kinematics Modeling And Control, Ahmed Elsadek Ahmed Seleit
Rapid Orbital Motion Emulator (Rome): Kinematics Modeling And Control, Ahmed Elsadek Ahmed Seleit
Electronic Theses and Dissertations, 2020-2023
Space missions design requires already tested and trusted control algorithms for spacecraft motion. Rapidly testing control algorithms at a low cost is essential. A novel robotic system that emulates orbital motion in a laboratory environment is presented. The system is composed of a six degree of freedom robotic manipulator fixed on top of an omnidirectional ground vehicle accompanied with onboard computer and sensors. The integrated mobile manipulator is used as a testbed to emulate and realize orbital motion and control algorithms. The kinematic relations of the ground vehicle, robotic manipulator and the coupled kinematics are derived. The system is used …
Efforts In Numerical Modeling Of Undulating Propulsion, George Loubimov
Efforts In Numerical Modeling Of Undulating Propulsion, George Loubimov
Electronic Theses and Dissertations, 2020-2023
Naval propulsion is a critical component for every vessel, and it is the subject of this thesis, specifically bio-inspired propulsion. Numerical modeling is used as a tool to understand the relationship between mechanical undulation and the hydrodynamic response. Through three stages, the research presented here examines and refines tools for understanding fundamentals of undulating propulsion. Those three objectives are: to verify and validate the proposed numerical models against existing experiments, establishing a baseline of fidelity; to examine the causal linkage between fluid-boundary interactions and undulating propulsion; and to create a moment based method for characterizing generalized undulating propulsive mechanisms. First, …
Study Of Non-Ideal Effects On Shock Wave Propagation, Cory Kinney
Study Of Non-Ideal Effects On Shock Wave Propagation, Cory Kinney
Electronic Theses and Dissertations, 2020-2023
Shock tube experiments provide insightful data on combustion, emissions, and ablation characterization for a wide variety of defense and energy sector research topics. Accurate characterization of shock tube facilities is essential to verifying the accuracy of research data. Non-ideal effects, such as boundary layer growth, introduce uncertainty into pressure and temperature conditions, the primary independent variables of interest for shock tube research results. The effect of boundary layer growth on shock tube experiments was investigated by conducting simulations for University of Central Florida's two geometrically different shock tube using StanShock, a quasi-one-dimensional, reacting, compressible flow solver. The characteristic quantities considered …
Hybrid Physics-Informed Neural Networks For Dynamical Systems, Renato Giorgiani Do Nascimento
Hybrid Physics-Informed Neural Networks For Dynamical Systems, Renato Giorgiani Do Nascimento
Electronic Theses and Dissertations, 2020-2023
Ordinary differential equations can describe many dynamic systems. When physics is well understood, the time-dependent responses are easily obtained numerically. The particular numerical method used for integration depends on the application. Unfortunately, when physics is not fully understood, the discrepancies between predictions and observed responses can be large and unacceptable. In this thesis, we show how to directly implement integration of ordinary differential equations through recurrent neural networks using Python. We leveraged modern machine learning frameworks, such as TensorFlow and Keras. Besides offering basic models capabilities (such as multilayer perceptrons and recurrent neural networks) and optimization methods, these frameworks offer …