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Articles 541 - 570 of 195927

Full-Text Articles in Engineering

Helio: Heliophysics Enhanced Learning For Intelligent Orbits, Kylie Nager, James Kirk Aug 2026

Helio: Heliophysics Enhanced Learning For Intelligent Orbits, Kylie Nager, James Kirk

Discovery Day - Daytona Beach

HELIO: Heliophysics Enhanced Learning for Intelligent Orbits   Satellite constellations operating in near-Earth space are increasingly vulnerable to space weather disturbances, such as solar flares, coronal mass ejections (CMEs), and high-speed solar wind streams, which degrade communications, destabilize attitude control, and accelerate orbital decay. These disturbances directly threaten mission continuity, constellation availability, and space asset survivability. Current protective approaches rely primarily on ground-based alerts and lack integration with broader space domain awareness, which results in programmed reactive protocols that are often initiated too late to prevent performance degradation and asset loss. The HELIO project addresses this gap by turning space-weather forecasts …

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Interplanetary Trajectory Optimization With Reinforcement Learning, Shiloh Cuffe Aug 2026

Interplanetary Trajectory Optimization With Reinforcement Learning, Shiloh Cuffe

Discovery Day - Daytona Beach

This project investigates the application of reinforcement learning (RL) to optimize low-thrust interplanetary trajectory design, focusing on the Earth-Venus transfer leg of the BepiColombo mission. Traditional trajectory optimization methods, such as patched conics and genetic algorithms, often require simplifying assumptions or complex optimization schemes. This work formulates the trajectory design problem as an optimal control problem (OCP) within a Markov Decision Process (MDP) framework, enabling an RL agent to learn efficient transfer strategies under realistic spacecraft constraints. The objective is to develop an autonomous guidance approach capable of replicating or improving upon established mission designs. The spacecraft is modeled as …

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Generalized Cloud-Based Compressible Aerodynamics Calculator And Simulation Web App, Massimo Mansueto, Liam Griesacker, Andres Torres-Figueroa Aug 2026

Generalized Cloud-Based Compressible Aerodynamics Calculator And Simulation Web App, Massimo Mansueto, Liam Griesacker, Andres Torres-Figueroa

Discovery Day - Daytona Beach

The Generalized Cloud-Based Compressible Aerodynamics Calculator and Simulation Web App focuses on the development of a tool to support the analysis, visualization, and teaching of compressible aerodynamics. In the case of most undergraduate aerospace engineering courses, students rely on static equations, charts, and manual calculations, which can make it difficult to conceptualize complex flow phenomena such as shock waves, expansion fans, and nozzle flow. The purpose of this project is to create an accessible platform that integrates a compressible flow calculator, nozzle sizing tool, and interactive simulations into a single educational resource. The application is implemented using modern web development …

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Terramechanics-Based Comparison Of Dem And Crm For Lunar Surface Applications, Nicolas Bonasoro Aug 2026

Terramechanics-Based Comparison Of Dem And Crm For Lunar Surface Applications, Nicolas Bonasoro

Discovery Day - Daytona Beach

Understanding how lunar regolith interacts with robotic systems is important for safe surface operations because uncertain terrain conditions can affect rover traversability and lunar lander stability. This work applies terramechanics to two space robotics applications: in-situ cone penetration testing (CPT) for terrain assessment and lunar lander touchdown analysis for evaluating sinkage, force response, and stability. The study compares the Discrete Element Method (DEM), which resolves particle-scale interactions and captures detailed regolith behavior, with the Continuum Representation Method (CRM), which models soil response more efficiently and supports rigid CAD components such as lander footpads, legs, and body geometries. Current CPT results …

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Robotic Arm Development For Cone Penetration Testing On The Lunar Surface, Jonah Graff, Derek Zhang Aug 2026

Robotic Arm Development For Cone Penetration Testing On The Lunar Surface, Jonah Graff, Derek Zhang

Discovery Day - Daytona Beach

Just as on Earth, future lunar operations will require accurate characterization of surface conditions. On Earth, a proven method for this is Cone Penetration Testing (CPT), which evaluates soil bearing capacity and stratification. This information is vital for lunar operations, including habitat construction, resource extraction, and safe pathfinding. However, traditional CPT systems are designed for human operation and lack autonomy. This project addresses that limitation by developing an autonomous, in-situ terrain characterization system for lunar surfaces. The device is driven by ball-screw actuators powered by stepper motors and controlled through an Arduino Mega, using a combination of metal and 3D-printed …

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Extending The Essentially Entropic Lattice Boltzmann Method To Three-Dimensional Turbulent Flows, Michael Derderian Aug 2026

Extending The Essentially Entropic Lattice Boltzmann Method To Three-Dimensional Turbulent Flows, Michael Derderian

Discovery Day - Daytona Beach

The Entropic Lattice Boltzmann Method (EELBM) has demonstrated strong numerical stability and accuracy for two-dimensional simulations, particularly at higher resolutions where the entropic formulation introduces only minimal stabilizing turbulent viscosity and eventually converges to the Lattice Bhatnagar–Gross–Krook (LBGK) formulation. This built-in stabilization can be interpreted as an implicit large-eddy simulation (LES) model, allowing EELBM to capture complex turbulent behavior without requiring explicit subgrid-scale closures. While these advantages have been thoroughly validated in 2D, understanding how the entropic constraint regulates dissipation in three dimensions is essential for assessing EELBM’s suitability for practical, turbulence-dominated applications. This work focuses on the development and …

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Feasibility Of High-Throughput Onboard Ai For Mars Rovers Under Solar Constraints, Aashman Gupta Aug 2026

Feasibility Of High-Throughput Onboard Ai For Mars Rovers Under Solar Constraints, Aashman Gupta

Discovery Day - Daytona Beach

This project evaluates the feasibility of sustained onboard AI autonomy for a solar-powered Mars rover by directly linking solar energy availability to achievable compute performance. While Mars solar irradiance and edge computing performance have been studied independently, no unified framework currently couples surface power generation to autonomy throughput in an experimentally validated manner. The project will begin with a simulation of solar power generation for a 1 m² rover-mounted array across a Martian sol, accounting for seasonal variation, dust opacity, and array configuration (fixed versus sun-tracking). The resulting power profile will then be coupled to representative compute platforms running autonomy …

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Metabolic Regulation And Immunity In The Spaceflight Environment, Graeme Grainger, Riley Dienna, Astrid Senko, Angela Cebula, Arden Rodriguez Arden Rodriguez Aug 2026

Metabolic Regulation And Immunity In The Spaceflight Environment, Graeme Grainger, Riley Dienna, Astrid Senko, Angela Cebula, Arden Rodriguez Arden Rodriguez

Discovery Day - Daytona Beach

Long-duration spaceflight exposes astronauts to chronic ionizing radiation and microgravity that disrupts homeostasis in the immune system and cellular metabolism. While simulated spaceflight models demonstrate altered T-cell polarization and sex-dependent shifts toward regulatory phenotypes, the metabolic mechanisms driving these immune changes remain unclear. Immune cell function is tightly linked to metabolic programming, with effector T cells relying on glycolysis and regulatory T cells favoring oxidative metabolism, making them highly sensitive to shifts in nutrient availability and redox balance. Emerging research further suggests that neutrophils act as metabolic regulators capable of reshaping the immune microenvironment through oxidative stress, cytokine production, and …

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Future Meteorological Droughts In The Southeastern Us, Kunal Bhardwaj, C. Prakash Khedun, Abdul A. Khan Aug 2026

Future Meteorological Droughts In The Southeastern Us, Kunal Bhardwaj, C. Prakash Khedun, Abdul A. Khan

Journal of South Carolina Water Resources

The Southeastern U.S., despite its humid climate, experiences recurrent meteorological droughts which impact agricultural, water resources, ecological systems, and the economy and society. Knowledge of future drought conditions can guide adaptation efforts. Here, we evaluate historical and projected droughts using the Standardized Precipitation Index (SPI) and the Standardized Precipitation-Evapotranspiration Index (SPEI) computed from an ensemble of eight bias-corrected Global Climate Models (GCMs) from the Climate Model Intercomparison Phase-6 (CMIP6). The historical performance (1950–2014) of the GCM’s mean was benchmarked against gridded observations from the Climate Research Unit (CRU). Future changes were assessed under 1.5°C, 2.0°C, and 3.0°C global warming levels.We …

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Assessing Non-Thermal Plasma In Cutaneous Regeneration, Arden Rodriguez, Meliah Martin, Graeme Grainger, Arineh Shahbazi Aug 2026

Assessing Non-Thermal Plasma In Cutaneous Regeneration, Arden Rodriguez, Meliah Martin, Graeme Grainger, Arineh Shahbazi

Discovery Day - Daytona Beach

Chronic and acute wounds remain a significant clinical challenge, particularly in austere and resource-limited environments where access to advanced care is restricted. Non-Thermal Plasma (NTP) has emerged as a promising, non-invasive modality with reported antimicrobial and regenerative properties; however, its mechanisms of action and effects on human skin tissue require further characterization. The scope of this project is to engineer and utilize a 3D human skin epithelial model to evaluate the effects of NTP on wound healing. We will first build a 3D epithelial tissue model that will simulate human skin, followed by modeling and evaluation of wound pathology and …

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Magnesium-Enhanced Methane: A Novel Metalized Fuel For Mars Return Missions And Next-Generation Propulsion Systems, Kinga Wysocka Aug 2026

Magnesium-Enhanced Methane: A Novel Metalized Fuel For Mars Return Missions And Next-Generation Propulsion Systems, Kinga Wysocka

Discovery Day - Daytona Beach

This research investigates magnesium-enhanced methane as a novel metalized fuel concept for high-performance, in-situ resource utilization (ISRU)-compatible rocket propulsion. While methane is a leading candidate for Mars missions due to its producibility via the Sabatier process, its combustion performance is limited by the high activation energy of the initial C–H bond (~4 eV). To address this limitation, density functional theory (DFT) calculations were performed to analyze methane and hydrogen interactions with a Mg(0001) surface. A converged slab model (3×3×4 and 3×3×5) was validated with energy differences below 1 meV per atom for k-point sampling and ~13.99 meV per atom for …

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From Dust To Growth: Microbial Pathways To Extraterrestrial Farming, Stefani Capasso Villanueva, Nupur Kulkarni Aug 2026

From Dust To Growth: Microbial Pathways To Extraterrestrial Farming, Stefani Capasso Villanueva, Nupur Kulkarni

Discovery Day - Daytona Beach

From Dust to Growth: Microbial Pathways to Extraterrestrial Farming addresses the fundamental challenge of sustaining long-term human habitation on other planets. In the era of the Artemis missions, establishing a cost-effective, bioregenerative food source is critical to reducing logistical dependency on Earth, and mitigating the physiological stressors faced by spacecrew through improved nutrition. This study initially investigated the viability of cultivating Mizuna, a proven ISS model organism, in a substrate of Martian regolith simulant amended with organic compost. Following iterative trials, it was found that the plant survival rate was extremely low, even after varying percentages of compost and simulant. …

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Advanced Manufacturing And Materials Of A Bio-Mimetic Hoof For Space Robotics Applications, Benjamin Heckel Aug 2026

Advanced Manufacturing And Materials Of A Bio-Mimetic Hoof For Space Robotics Applications, Benjamin Heckel

Discovery Day - Daytona Beach

Planetary surfaces often feature steep, uneven, and unpredictable terrain conditions that resemble some of the most challenging natural environments on Earth. In these terrestrial settings, certain animals have evolved to navigate complex landscapes with remarkable agility. One example is the mountain goat, an animal whose hooves have evolved for stable and precise movement across rocky, inclined surfaces. This biological adaptation provides a useful model for improving robotic mobility in planetary exploration. This study draws inspiration from that natural adaptation to develop a bio-mimetic robotic hoof designed to enhance traction, durability, and adaptability for extraterrestrial exploration. By replicating the mechanical properties …

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Fault-Aware Flight Path Assessment For Evtols Using An Integrated Air Traffic Management Environment, John Clardy, Edison Alberto Martinez Samaniego Aug 2026

Fault-Aware Flight Path Assessment For Evtols Using An Integrated Air Traffic Management Environment, John Clardy, Edison Alberto Martinez Samaniego

Discovery Day - Daytona Beach

This study introduces a simulation framework to evaluate Fault-Aware Flight Paths for electric vertical takeoff and landing (eVTOL) aircraft within an integrated air traffic management environment. By combining an air traffic management system with intelligent trajectory generation frameworks, the approach assesses the development of safe, adaptive, and fault-aware flight paths that account for traffic interactions, airspace features, and specific operational constraints. Real-world historical airspace traffic data was used to accurately simulate complex and congested operational conditions. The main goal is to evaluate the operational impact of integrating eVTOL operations into the National Airspace System, with a focus on conflict detection, …

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Experimental Design And Comparative Analysis Of Cubesat-Based Reflector Concepts For Future Solar Energy Redirection On Mars, Tatyana Vladislavova Ivanova Aug 2026

Experimental Design And Comparative Analysis Of Cubesat-Based Reflector Concepts For Future Solar Energy Redirection On Mars, Tatyana Vladislavova Ivanova

Discovery Day - Daytona Beach

Previous research shows that redirecting sunlight with large orbital mirrors could support warming specific regions of Mars by targeting ice deposits and releasing greenhouse gases. Although the concept has strong theoretical support, deploying and adjusting massive rigid reflectors in orbit remains a major technical challenge. This study aims to investigate the impact of using a swarm of small, adjustable CubeSats equipped with different reflector types on the effectiveness of solar energy redirection for Martian surface heating. Through comparison of multiple designs in controlled conditions, this work addresses whether smaller, flexible systems could offer a practical alternative to traditional large mirrors. …

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Se(3) Touchdown Dynamics With Multi-Joint Landing Legs And Regolith-Dependent Contact For Autonomous Tip-Over Risk Prediction, Rithika Nagarajan Aug 2026

Se(3) Touchdown Dynamics With Multi-Joint Landing Legs And Regolith-Dependent Contact For Autonomous Tip-Over Risk Prediction, Rithika Nagarajan

Discovery Day - Daytona Beach

This project develops an SE(3)-based touchdown dynamics framework to study how lunar landers can remain stable during landing on sloped and uncertain terrain. Safe lunar landing is challenging because uneven load redistribution, slip, and asymmetric sinkage can push the vehicle’s center of mass outside its support polygon, increasing tip-over risk. The purpose of this work is to extend a fixed-leg touchdown model to a multi-joint landing leg system while also examining how varying regolith properties affect landing stability. The method combines coupled rigid-body translation and rotation with per-foot unilateral contact, compliant normal force response, and Coulomb-limited friction to simulate touchdown …

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An Energy-Aware Meta-Learning Framework For Real-Time Lunar Rover Localization Via Adaptive Algorithm Selection, Jose Demedeiros, Garrett Seyler Aug 2026

An Energy-Aware Meta-Learning Framework For Real-Time Lunar Rover Localization Via Adaptive Algorithm Selection, Jose Demedeiros, Garrett Seyler

Discovery Day - Daytona Beach

This work proposes an energy-aware meta-learning framework that selects the single most suitable localization algorithm for a lunar rover, per scene, using only monocular imagery and orbital maps. The goal is to achieve sub-meter accuracy while minimizing onboard compute and energy consumption. We assemble a suite of seven lunar-relevant algorithms spanning relative and absolute localization, including monocular ORB-SLAM3, LuVo homography-based visual odometry, Censible cross-view matching with orbital imagery, crater-based methods (LunarNav and ShadowNav), monocular horizon navigation with a DEM, and DROID-SLAM. Relative methods provide incremental motion updates, while absolute methods deliver global pose fixes; an Extended Kalman Filter fuses these …

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A System Safety Approach To Assuring Artificial Intelligence Enabled Functions In Civil Aviation, Evan Bear, Quinn Galen Aug 2026

A System Safety Approach To Assuring Artificial Intelligence Enabled Functions In Civil Aviation, Evan Bear, Quinn Galen

Discovery Day - Daytona Beach

Artificial intelligence and machine learning techniques are increasingly proposed for use in safety-critical civil aviation functions including perception decision support and pilot assistance. Existing aviation safety and certification standards such as ARP4754A and DO-178C were developed under assumptions of determinism explicit requirements and complete behavioral specification which do not directly apply to learning-enabled systems. This mismatch has created uncertainty regarding how artificial intelligence enabled avionics can be safely assured and certified. This paper presents a system safety approach for assuring artificial intelligence enabled functions within existing aviation certification frameworks. In this approach safety assurance is based on explicitly identifying the …

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A Hybrid Llm-Srgm Framework For Ai-Enabled Reliability Assessment In Safety-Critical Software Systems, Caleb Stone, Shrenik Jadhav Aug 2026

A Hybrid Llm-Srgm Framework For Ai-Enabled Reliability Assessment In Safety-Critical Software Systems, Caleb Stone, Shrenik Jadhav

Discovery Day - Daytona Beach

Ensuring the reliability of software intensive and safety critical systems is a persistent challenge across aerospace, defense, transportation, and other mis- sion focused domains. Traditional software relia- bility growth models (SRGM) provide useful quanti- tative insight into defect discovery trends, but they rely mostly only on numerical failure data and do not use the rich contextual information contained in test logs, anomaly reports, and engineering notes. This paper presents a hybrid framework that com- bines semantic features extracted by a large lan- guage model (LLM) with a non-homogeneous Pois- son process (NHPP) based software reliability growth model. The LLM analyzes …

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Experimental Manufacturing Optimization Of 3d-Printed Ducted Fans, Stanlie Cerda-Cruz Aug 2026

Experimental Manufacturing Optimization Of 3d-Printed Ducted Fans, Stanlie Cerda-Cruz

Discovery Day - Daytona Beach

This study aims to assess the efficiency gains, feasibility, and practicality of 3D printing fan and ducts with pre and post processing techniques. With the rapid expansion of MAV use; labs, students, hobbyists, can benefit from manufacturing Electric Ducted Fans (EDFs), both fans and ducts, in-house rather than purchasing traditional propellers. There are several advantages of utilizing EDFs, as they can minimize wing tip vortices, reduce wake contraction, and induce a duct lip Coanda effect which all lead to an increased system efficiency. However, EDF implementation in MAV's remain largely unexplored due to the difficulty of development and the production …

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Design And Implementation Of A Synchronized Data Acquisition System For An Ihlp Cessna 182 Testbed, Celso Ferreira De Moura, Mariano Chavez Rangel Aug 2026

Design And Implementation Of A Synchronized Data Acquisition System For An Ihlp Cessna 182 Testbed, Celso Ferreira De Moura, Mariano Chavez Rangel

Discovery Day - Daytona Beach

This work presents the design and implementation of a fully integrated data acquisition system for a full scale Integrated High Lift Propulsion testbed based on a Cessna 182Q, with emphasis on hardware integration, sensor reliability, and time synchronization. A centralized architecture was developed in LabVIEW to acquire, process, and store data from both analog and digital sensors, including air data systems, inertial measurement units, control positions, and propulsion instrumentation. Analog sensors were carefully calibrated to ensure accurate conversion to engineering units, while digital sensors were incorporated into a unified framework to maintain consistency across all measurements. All ADC, GPS, INS, …

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Cars Imass - Comparing Llm Vs Human Operator Effectiveness In Multi-Agent Swarm Coordination, Gatlin Nelson Aug 2026

Cars Imass - Comparing Llm Vs Human Operator Effectiveness In Multi-Agent Swarm Coordination, Gatlin Nelson

Discovery Day - Daytona Beach

Title: Dual-Perspective Risk Analysis for Human-LLM Decision Comparison in UAV Swarm Navigation   Unmanned aerial vehicle (UAV) swarms operating in low-altitude wireless network environments encounter localized disruptions that degrade positioning and navigation metrics. These disruptions are modeled as geographic failure zones with defined boundaries. A UAV discovers a zone by entering it and observing degraded performance on its onboard systems. This work assumes that affected UAVs can autonomously retreat to safety using onboard sensors and focuses on the subsequent rerouting decision. Once recovered, the system generates candidate repositioning points surrounding the vehicle, each scored using Conditional Value-at-Risk (CVaR). A human operator …

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Multi-Dimensional Particle-In-Cell With Monte Carlo Collisions (Pic-Mcc) Simulation For Visualizing Plasma Flow And Secondary Ionization In Constricted-Anode Geometries, Parth Thakar Aug 2026

Multi-Dimensional Particle-In-Cell With Monte Carlo Collisions (Pic-Mcc) Simulation For Visualizing Plasma Flow And Secondary Ionization In Constricted-Anode Geometries, Parth Thakar

Discovery Day - Daytona Beach

Constricted-anode plasma sources generate locally intensified electric fields that enhance ionization near the anode, making them valuable in propulsion and laboratory plasma systems. However, the narrow geometry produces complex charge accumulation and secondary ionization effects that remain difficult to measure experimentally. To address this challenge, our research develops and applies a multi-dimensional Particle-in-Cell with Monte Carlo Collisions (PIC-MCC) simulation of a DC discharge in 1-D, 2-D, and 3-D configurations that model a constricted-anode device. PIC-MCC is a first-principles method that tracks electrons and ions individually while computing self-consistent electric fields and incorporating energy-dependent collision processes. This approach enables direct visualization …

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Phaëthon System, Brady Roudabush, Lauren Gallo, Emelia Thompson, Jacob Woods Aug 2026

Phaëthon System, Brady Roudabush, Lauren Gallo, Emelia Thompson, Jacob Woods

Discovery Day - Daytona Beach

Phaëthon System is the project name for the Search and Rescue Drone Initiative. This initiative will improve the current search and rescue drone industry by introducing new techniques to get through dense forest canopies and other places where an overhead view is not useful. The Phaëthon System uses a swarm of drones that can penetrate under the tree canopy to map and search with the utmost efficiency and safety for rescuers. A command drone is launched to survey the overall search area, and set up a communications and data link. The next component is then released, which is a swarm …

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Restoration And Instrumentation Of A Cantilever Beam Model Using Strain Gauge Measurement, Ana Paula Guevara Aug 2026

Restoration And Instrumentation Of A Cantilever Beam Model Using Strain Gauge Measurement, Ana Paula Guevara

Discovery Day - Daytona Beach

This project aims to restore and modernize an instructional cantilever beam model with a C‑shaped cross‑section used in Aerospace Structures courses, addressing the need for updated, hands‑on teaching tools that connect theoretical stress–strain concepts to real experimental data. The existing model, previously limited to qualitative demonstrations, is being rehabilitated and instrumented with a bonded strain gauge capable of detecting resistance changes under applied bending loads. These signals are processed through an Arduino‑based data acquisition system, which converts electrical resistance into strain values and displays them in real time on an LCD interface. The project’s objectives are to return the beam …

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Real-Time Fused Sensor System For Early Onboard Detection Of Weather Phenomena, Sanjana Singh Aug 2026

Real-Time Fused Sensor System For Early Onboard Detection Of Weather Phenomena, Sanjana Singh

Discovery Day - Daytona Beach

Weather-related hazards continue to be a major cause of operational interruptions and safety issues in the aviation sector. Atmospheric phenomena, including turbulence, microbursts, convective storms, and rapidly changing boundary-layer conditions, can arise quickly and often occur on spatial scales that are not adequately addressed by regional forecasting systems. These phenomena particularly endanger aircraft flying at low altitudes, such as general aviation planes, unmanned aerial vehicles (UAVs), and those during takeoff and landing Although meteorological forecasting systems and ground-based radar networks offer important regional insights, they may fail to detect localized atmospheric variations encountered along specific flight routes. Consequently, pilots and …

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Additive Manufacturing Of Metals: Mechanical Properties And Their Implications, Sean Chih Aug 2026

Additive Manufacturing Of Metals: Mechanical Properties And Their Implications, Sean Chih

Discovery Day - Daytona Beach

Additive manufacturing of metals is a relatively new and groundbreaking approach to manufacturing high-performance components. However, variability in mechanical properties from the process creates a barrier before this manufacturing technique can be widely applied. Understanding when and where to use this manufacturing is also important to create components with efficiency and without harmful defects. The objective of this research is to evaluate the effects of build orientation, printing parameters, internal defects, thermal history, and residual stresses, post-processing heat treatments, and fatigue behavior on additively manufactured components. Literature-based research is conducted on commonly used metals for additive manufacturing, such as stainless …

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Professionalism And Performance Expectations In The Modern Aviation Industry, Anayah Smith, Spencer Baldock Spencer Baldock Aug 2026

Professionalism And Performance Expectations In The Modern Aviation Industry, Anayah Smith, Spencer Baldock Spencer Baldock

Discovery Day - Daytona Beach

The aviation industry operates as a highly regulated, safety-critical environment in which professionalism and consistent performance are essential to maintaining operational safety and reliability. However, emerging shifts in workforce composition, communication styles, and technology integration have created misalignment between traditional professional standards and evolving employee expectations. Established aviation cultures emphasize structured procedures, formal feedback mechanisms, and communication hierarchy, while newer entrants, shaped by digital communication norms and contemporary academic environments, often expect continuous feedback, collaborative leadership, and adaptive performance evaluation. Prior research on crew resource management, human error frameworks, and generational work values highlights how inconsistencies in communication, feedback expectations, …

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Reimagining Wind Based Sea Travel With Vertical Axis Wind Turbines, Julian Goins Aug 2026

Reimagining Wind Based Sea Travel With Vertical Axis Wind Turbines, Julian Goins

Discovery Day - Daytona Beach

In the realm of Nautical vehicles, aside from the occasional outliers like rarely used coal steamboats, experimental solar powered ships, or the military grade nuclear vessels, the vast majority of ships run off diesel-powered engines. The unsustainability of such methods will need to be addressed for the security of our planet’s future due to the limited and destructive nature of fossil fuels, much like it already is in many other fields. To that end, this project gains inspiration from the past and looks toward harnessing the power of the wind. In recent times, most sail boats are equipped with some …

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An Exploration Into Aviation Safety & Security In Nigeria, Hana Marz, Nicholas Degarmo, Kathrine Lopez, Michael Chrisman Aug 2026

An Exploration Into Aviation Safety & Security In Nigeria, Hana Marz, Nicholas Degarmo, Kathrine Lopez, Michael Chrisman

Discovery Day - Daytona Beach

Aviation safety and security standards are fundamental for enabling the reliability and sustainability of aviation operations. Aviation safety and security are influenced by organizational and institutional standards, as well as the application of human factors principles. This paper aims to explore the regional variances of aviation safety and security culture within Nigeria. Nigeria has taken steps to align with international aviation standards, offering insight into how the region shapes its regulatory environment, organizational culture, and how cultural factors affect safety and security practices. However, Nigeria continues to face challenges such as inconsistent regulatory enforcement and limited safety reporting, which impact …

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