LOUIS University of Alabama in Huntsville
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Examining Generational Preferences During the Job Recruitment & Interviewing Process
Get PDFhttps://louis.uah.edu/research-horizons/1378/thumbnail.jp
AIM-E - AI Driven Inspection for Manufacturing on the Edge
Get PDFhttps://louis.uah.edu/research-horizons/1382/thumbnail.jp
European Launcher Development Organization (ELDO): Predecessor to ESA
No full textI researched the European Launcher Development Organization (ELDO) and the UK’s contributions to this organization. ELDO was formed on April 30, 1962 by Australia, Belgium, France, West Germany, Italy, the Netherlands, and the United Kingdom.https://louis.uah.edu/honors-399/1024/thumbnail.jp
The Mechanically carved Matrix: The Application of Laser Cutting Technologies in Contemporary Mokuhanga
No full texthttps://louis.uah.edu/rceu-hcr/1497/thumbnail.jp
Advancing Multiplex SIRS Models: Dual Dynamics of Disease and Behavior
No full texthttps://louis.uah.edu/rceu-hcr/1520/thumbnail.jp
Insight into Pediatric Hepatitis B Vaccination Strategies
No full texthttps://louis.uah.edu/rceu-hcr/1522/thumbnail.jp
Reassembly of Non-Circulized Genomes and Scientific Search for Species-Specific Primers 16S rRNA
No full texthttps://louis.uah.edu/rceu-hcr/1528/thumbnail.jp
Modeling solar wind in the inner heliosphere with quantified uncertainties
No full textThe solar wind (SW) is a vital component of space weather (SWx), providing a background for solar transients such as coronal mass ejections, stream interaction regions, and energetic particles propagating toward Earth. Accurate prediction of SWx events requires a precise description and thorough understanding of physical processes occurring in the ambient SW plasma. This dissertation investigates the effect of uncertainty associated with solar photospheric boundary conditions (BCs) on magnetohydrodynamic (MHD) simulations of the SW in the inner heliosphere. For this purpose, I perform ensemble simulations of the three-dimensional SW flow using an empirically-driven MHD heliosphere model implemented in the Multi-Scale Fluid-Kinetic Simulation Suite (MS-FLUKSS). The key aspect of the work is the multipoint validation of the ensemble model of the SW using in situ SW plasma and magnetic field data from the Parker Solar Probe, Solar Orbiter, Solar Terrestrial Relations Observatory-A (STEREO-A), and near-Earth observations. I approached the problem in three steps. Firstly, the level of uncertainty and performance of the ensemble model in capturing large-scale SW structures are examined through a qualitative comparison of the simulation results with multi-spacecraft observations. Secondly, the model\u27s performance is evaluated and associated uncertainties are quantified using a comprehensive quantitative framework that involves multiple validation metrics, variables, inner heliospheric locations, and time periods. Finally, the work assesses the model capabilities in reproducing the SW stream interaction regions (SIRs). It analyzes the effect of uncertainties in the photospheric BCs on the simulation results at Earth and STEREO-A. The presented simulation results are in good overall agreement with the observational data at multiple points in the inner heliosphere. This dissertation represents the first systematic multi-spacecraft investigation of quantified uncertainties in SW simulations arising from time-dependent photospheric BCs. This makes it possible to shed more light on the properties of the SW propagating through the heliosphere and perspectives for improving SWx forecasts
An algorithm for three-dimensional bubble simulations and analysis for advanced nuclear propulsion
No full textThis dissertation presents the development of a predictive simulation framework for analyzing gas-liquid dynamics in Centrifugal Nuclear Thermal Propulsion (CNTP) systems, where hydrogen gas is injected into a rotating liquid uranium fuel core. Using Smoothed Particle Hydrodynamics (SPH), a fully Lagrangian mesh-free method, this research models multiphase flow behavior under extreme conditions, capturing critical phenomena such as bubble formation, surface deformation, void fraction evolution, and rotational confinement. A novel modification to the liquid equation of state is introduced to mitigate SPH artifacts, improving fluid stability and enabling surface recovery after deformation. The model is validated against experimental data from static water-air injection setups, with good agreement observed in bubble rise trends and void fraction scaling. The validated approach is then extended to simulate uranium-hydrogen interactions under high rotation, reproducing theoretical centrifugal equilibrium and hollow annular fluid shell formation. Additionally, analytical corrections for hydrostatic forces and drag are implemented to reduce empirical tuning and enhance predictive capability. While the model currently underestimates terminal velocity and exhibits minor instability under extreme conditions, it successfully captures major multiphase trends and offers a scalable platform for future integration with thermal and reactivity models. This work addresses a critical gap in modeling two-phase flow in CNTP by providing a versatile and extendable tool for predicting bubble behavior in rotating nuclear systems. It also demonstrates the feasibility of using SPH for complex fluid scenarios relevant to space propulsion where experimental access is limited. The findings of this study contribute to the design optimization of CNTP reactors and lay the groundwork for broader simulation efforts aimed at enabling faster, safer, and more efficient interplanetary missions