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Impact Of Circular And Non-Circular Nozzle Exit Geometries On Jet Flow Propagation And Turbulence Characteristics, Hiba Maazioui 2025 Mississippi State University

Impact Of Circular And Non-Circular Nozzle Exit Geometries On Jet Flow Propagation And Turbulence Characteristics, Hiba Maazioui

Theses and Dissertations

This thesis aims to investigate the impact of nozzle exit geometry on jet flow propagation and turbulence characteristics. Computational fluid dynamics simulations were performed using ANSYS Fluent, employing the Reynolds-Averaged Navier-Stokes (RANS) approach, to compare circular, elliptic, and rectangular nozzle geometries. The analysis focused on velocity distributions, turbulence characteristics, and cross-flow interactions. Results indicate that circular jets have the longest potential core and slowest velocity decay, reflecting lower mixing rates. In contrast, elliptic and rectangular jets have shorter potential cores, faster velocity decay, and elevated TKE peaks, suggesting enhanced turbulence and mixing. These findings highlight the significant role of nozzle …


Integration Of Machine Learning Techniques With Computational Fluid Dynamics For Enhanced Backward-Facing Step Flow, Yahya Mekkaoui 2025 Mississippi State University

Integration Of Machine Learning Techniques With Computational Fluid Dynamics For Enhanced Backward-Facing Step Flow, Yahya Mekkaoui

Theses and Dissertations

This research presents a novel integrated framework combining computational fluid dynamics (CFD) with machine learning techniques to enhance the analysis of backward-facing step flows. A high-fidelity OpenFOAM CFD simulation was developed and validated against experimental data, accurately predicting the reattachment length (��/�� ≈ 6.18) and velocity profiles throughout the domain. Machine learning models, including Random Forest, Gradient Boosting, and Support Vector Regression, were integrated through a robust data pipeline, with the ensemble approach demonstrating superior performance (RMSE of 1.18 m/s, ��2 of 0.951). Feature importance analysis revealed pressure (32%) and turbulent kinetic energy (28%) as the dominant physical parameters governing …


An Adaptation Of Nonlinear Aerodynamic Models For Non-Traditional Control Effectors, Christian R. Bolander, Douglas F. Hunsaker 2025 Utah State University

An Adaptation Of Nonlinear Aerodynamic Models For Non-Traditional Control Effectors, Christian R. Bolander, Douglas F. Hunsaker

Engineering Education Faculty Publications

This paper presents the development of a novel aerodynamic model tailored for the Bio-Inspired Rotating Empennage (BIRE), a non-traditional fixed-wing aircraft empennage inspired by avian flight. The BIRE replaces the conventional vertical stabilizer with an extra degree of freedom for the horizontal stabilizer, which is allowed to rotate about the body-fixed x axis. This empennage is similar to the tail of a bird, and allows control of both longitudinal and lateral moments. However, such a design introduces complex nonlinear longitudinal and lateral aerodynamic interactions, not typically accounted for in most fixed-wing aircraft aerodynamic models below stall. This work presents a …


Computational Fluid Dynamics Analysis Of A Turbine Blade, Luis Luna, Fabiha Samiha 2025 CUNY New York City College of Technology

Computational Fluid Dynamics Analysis Of A Turbine Blade, Luis Luna, Fabiha Samiha

Publications and Research

In Aerospace engineering, the use of computer-aided design (CAD) software, such as SolidWorks, is crucial when designing and validating high-performance parts. SolidWorks provides a valuable tool for simulating computational fluid dynamics (CFD), allowing engineers to analyze and visualize how parts behave under real-world aerodynamic conditions.

One such part is a turbine blade, an airfoil-shaped component inside a jet engine that compresses and redirects airflow to generate thrust. This study aims to perform aerodynamic testing of a single turbine blade design while evaluating SolidWorks' ability to simulate external flow conditions. By visualizing velocity profiles, pressure distribution, and vortex formation, the simulation …


Gradient Fibro-Porous Materials For Tailored Sound Absorption, William Johnston, Janith Godakawela, Bhisham Sharma 2025 Michigan Technological University

Gradient Fibro-Porous Materials For Tailored Sound Absorption, William Johnston, Janith Godakawela, Bhisham Sharma

Michigan Tech Publications

Reducing the pore size of bulk sound absorbers often increases weight and introduces manufacturing challenges, limiting their practical use. To address these issues, a class of materials is introduced that uses 3D printing to seamlessly integrate fibers within porous scaffolds, allowing improved sound absorption performance without a significant weight addition. The reliance on 3D printing enables the creation of gradient fibro-porous structures with customizable acoustic properties. This study explores the effect of through-thickness gradients in the scaffold’s relative density, fiber thickness, and fiber density on the acoustical performance with the goal of identifying the optimal strategy to obtain broader and …


Solar Sailing Adaptive Control Around The Earth-Moon Lagrange Point L4 For Stellar Observations, Luis Mendoza Zambrano 2025 Embry-Riddle Aeronautical University

Solar Sailing Adaptive Control Around The Earth-Moon Lagrange Point L4 For Stellar Observations, Luis Mendoza Zambrano

Doctoral Dissertations and Master's Theses

To expand our knowledge about the influence of the Sun in the cislunar region, as well as our understanding of shocks due to Coronal Mass Ejections and large coronal magnetic reconnection, a solar sailing approach is proposed to separately capture lunar occultations and observe the solar corona from L4 of the Earth-Moon system. Single and multiple shooting techniques are described along with a pseudo arc-length continuation method for preliminary orbit design. Periodic orbits in the vicinity of L4 are obtained in the context of the Earth-Moon circular restricted three-body problem (CR3BP) and the Sun-Earth-Moon bi-circular restricted four-body problem …


Satellite Reorientation Using Reinforcement Learning Under Unknown Attitude Failure, Matthew Willoughby 2025 Embry-Riddle Aeronautical University

Satellite Reorientation Using Reinforcement Learning Under Unknown Attitude Failure, Matthew Willoughby

Doctoral Dissertations and Master's Theses

This study presents a reinforcement learning (RL) approach for reestablishing communication with deep-space satellites under unknown attitude determination and control system (ADCS) failures. When traditional fault-tolerant control methods cannot restore signal, the proposed RL controller acts as a last-resort measure by autonomously reorienting the satellite’s antenna toward Earth while charging the battery via solar panels. A generic reward function, designed for the RL-based method, enables the controller to adapt to diverse failure scenarios, including severe actuator noise, misalignment, and complete actuator failure. Simulations are conducted in the Basilisk environment and trained with the tonic framework and demonstrate ranging capabilities of …


Pressure Switch Tester, Michael Starasinich, Andrew Dobson, Jordan Huschen, Mitchell Smith, Melvin Brown III 2025 Northern Illinois University

Pressure Switch Tester, Michael Starasinich, Andrew Dobson, Jordan Huschen, Mitchell Smith, Melvin Brown Iii

Honors Capstones

Abstract—- The Pressure Switch Test Stand is a comprehensive and automated testing solution designed to streamline the actuation and validation of simultaneously. At the core of the system is a PLC-controlled architecture that enables precise control and simulation of pressure conditions, replicating real-world scenarios to ensure accurate and reliable switch performance.

This test stand integrates robust mechanical fixtures, a reliable pneumatic control system, custom-designed electrical circuits, and a modular software interface, working in unison to deliver consistent and high-fidelity testing outcomes. Each pressure switch undergoes a sequence of pressure ramps and holds, with the system continuously monitoring switch states, activation …


Re-Analysis Of The Anthropogenic Effect Of The Covid-19 Global Lockdown On Night-Time Lunar Surface Temperatures, W. Schonberg, S. Haque 2025 Missouri University of Science and Technology

Re-Analysis Of The Anthropogenic Effect Of The Covid-19 Global Lockdown On Night-Time Lunar Surface Temperatures, W. Schonberg, S. Haque

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

A study by Durga Prasad and Ambily observed an anomalous decrease in the lunar surface temperatures during the period April–May 2020, which they then attributed to the anthropogenic effects of the COVID-19 global lockdown effect. We have re-examined their data and while the anomalous decrease in the lunar surface temperature during April–May 2020 appears in our analysis as well, so does another significant dip in early 2018. Furthermore, the decline to the minimum observed during April–May 2020 is seen to begin in 2019, that is, quite some time before the COVID-19 event that led to the global lockdown and the …


Thermal Design And Control Of A Pcb-Based Solid-State Gas Generator (Ssgg) Heater For Space Applications, Chandler Dye 2025 University of Arkansas, Fayetteville

Thermal Design And Control Of A Pcb-Based Solid-State Gas Generator (Ssgg) Heater For Space Applications, Chandler Dye

Graduate Theses and Dissertations

This thesis presents the development and experimental validation of a compact, solid-state gas generator (SSGG) heater integrated into a printed circuit board (PCB) for use in satellite deorbiting systems. Designed for CubeSat-class spacecraft, the system produces gas via the thermal decomposition of sodium azide (NaN₃). The project emphasizes minimal mass, low power consumption, and mechanical simplicity – key constraints for modern space missions. The heater system relies on Joule heating through patterned copper coils embedded within the PCB structure. NaN₃ is deposited into wells drilled into the board surface, where localized heating initiates its decomposition near 300°C. A range of …


Development Of A Cost-Effective Daq For Measuring Brake Performance In Race Cars, Adrin Alias 2025 University of Texas at Arlington

Development Of A Cost-Effective Daq For Measuring Brake Performance In Race Cars, Adrin Alias

2025 Spring Honors Capstone Projects - Archive

This project explores the feasibility of creating a cost-effective data acquisition (DAQ) system for high-speed, real-time brake performance testing of Formula SAE racecars. The research addresses the limitations of the current MoTeC DAQ system currently employed by the team, which is costly and time-consuming to set up for on-car testing. The team will use a brake dynamometer for steady-state comparisons of different brake pad compounds (senior design project), but evaluating real-world performance requires on-car testing. By systematically comparing various hardware platforms, sensors, communication protocols, and storage solutions, this project aims to balance cost-efficiency with reliability and performance. The research evaluates …


Air And Missile Defense Threat Scenario Variation To Reduce Pretest Sensitization, Video Games As A Case Study, Julie Renee Szekerczes 2025 Indiana State University

Air And Missile Defense Threat Scenario Variation To Reduce Pretest Sensitization, Video Games As A Case Study, Julie Renee Szekerczes

All-Inclusive List of Electronic Theses and Dissertations

This study uses fixed and variable video game types to measure pretest sensitization as a proxy for repeated and varied threat test scenarios in system performance testing of air and missile defense systems. The pretest sensitization phenomenon exists when repeated exposure to a test condition influences the participant's response. Research shows air and missile defense development correlates with video games, resulting in similar interfaces and computer operating environments. Department of Defense acquisition test and evaluation results must reflect system performance without prior knowledge of the threat scenarios confounding the results. System performance results inform acquisition decisions, such as further funding …


Ultrafast Laser Surface Structuring For Wettability Control On Copper, Akshay Arvind Nagvenkar 2025 Clemson University

Ultrafast Laser Surface Structuring For Wettability Control On Copper, Akshay Arvind Nagvenkar

All Theses

Wettability is a crucial surface property influencing various phenomena, including heat transfer, cell adhesion, and corrosion. Engineering devices can achieve superior performance by precisely manipulating surface wettability. As a result, extensive research has focused on developing surfaces that exhibit either extreme water attraction (superhydrophilic) or strong water repellency (superhydrophobic). Tailoring surface wettability paves the way for numerous applications, such as drag reduction in marine vessels, controlled drug delivery, efficient water collection, advanced liquid transport systems, oil-water separation, anti-corrosion coatings, friction reduction, and self-cleaning materials. Ultrafast laser surface structuring is a promising approach for engineering multifunctional surfaces, effectively modifying material properties …


Level Of Fidelity Adaptation Of Structural Models To Support In-Space Servicing, Assembly, And Manufacturing (Isam), Maximilian Manuel Rothblatt 2025 University of Texas at El Paso

Level Of Fidelity Adaptation Of Structural Models To Support In-Space Servicing, Assembly, And Manufacturing (Isam), Maximilian Manuel Rothblatt

Open Access Theses & Dissertations

In-space servicing, assembly, and manufacturing (ISAM) operations increasingly rely on digital twin technology to perform predictive structural analysis in resource-constrained environments. A key challenge in deploying structural finite element analysis (FEA) within a digital twin lies in determining mesh fidelity settings that balance simulation accuracy with computational efficiency. This thesis presents the development of a MATLAB-based adaptive mesh refinement framework designed to identify optimal FEA mesh parameters prior to integration into a digital twin system.

The tool iteratively refines mesh resolution across faces, edges, and vertices based on von Mises stress distribution and convergence behavior. Termination criteria are governed by …


Graphics Processing Unit-Enabled Path Planning Based On Global Evolutionary Dynamic Programming And Local Genetic Algorithm Optimization, Junlin Ou, Ge Song, Yi Wang 2025 University of South Carolina

Graphics Processing Unit-Enabled Path Planning Based On Global Evolutionary Dynamic Programming And Local Genetic Algorithm Optimization, Junlin Ou, Ge Song, Yi Wang

Faculty Publications

This paper presents a novel path planning method for real-time robotic path planning in a dynamic environment involving moving obstacles. It combines on a holistic platform a global approach to rapidly generate initial paths of prominent diversity and a heuristic approach to enable local path refinement for enhanced computational efficiency, exploration, and robustness. The global approach innovates a formulation that treats a path planning problem with a visibility graph as a Markov decision process and decomposes the process into many subproblems. A new evolutionary dynamic programming approach (EDP) is proposed to solve these subproblems in an iterative manner using …


Effects Of The Gravity Gradient On The Path Of 1i/‘Oumuamua, Hannah R. Richardson 2025 University of South Alabama

Effects Of The Gravity Gradient On The Path Of 1i/‘Oumuamua, Hannah R. Richardson

Poster Presentations

In October 2017, the asteroid 1I/’Oumuamua first passed into viewing range [1]. The asteroid is notable for being the first interstellar object to enter the solar system. 1I/’Oumuamua was also unusual in its geometry; it is thought to have an aspect ratio of 6:1 and a length of approximately 400 m [2] [3]. The asteroid was observed to experience a non-Keplerian acceleration estimated to be on the order of 1×10−6 m s-2 Several theories have been proposed for the cause of this acceleration, all of which are non-gravitational in nature: volatile outgassing, photon pressure, and solar winds [1][4]. However, none …


Reconfigurable Python Autopilot Software For Rc Aircraft, Kate Doiron 2025 University of South Alabama

Reconfigurable Python Autopilot Software For Rc Aircraft, Kate Doiron

Honors Theses

No abstract provided.


Micro Wind Turbine - Modelling And Testing, Mohammad Uzair Bhati 2025 Clemson University

Micro Wind Turbine - Modelling And Testing, Mohammad Uzair Bhati

All Theses

The global energy demand continues to rise as people consume more electricity to power their personal electronics, electric vehicles, and consumer products such as outdoor tools. To generate renewable energy, large scale solar and wind farms continue to receive the most commercial attention. However, portable wind energy turbines have the potential to generate sufficient power for cell phones and other electronic devices. There are two types of wind turbines, horizontal and vertical axis each having their pros and cons. Vertical-axis wind turbines are the main focus of this thesis, with a reduction in their form factor or size and portable …


De Novo Design Of Ablative Polymers For Aerospace Thermal Protection Systems Through An Integrated Ai-Theory-Experiment Approach, Rene Damaso Boisseau 2025 University of Texas at El Paso

De Novo Design Of Ablative Polymers For Aerospace Thermal Protection Systems Through An Integrated Ai-Theory-Experiment Approach, Rene Damaso Boisseau

Open Access Theses & Dissertations

Novolac phenolic resin (NPR) is a widely used polymeric ablative material (PAM) for thermal protection systems (TPS) due to its high thermal decomposition temperature (TD, 500â?¯Â°C) and char yield (YC, 55â?¯wt%). However, its drawbacks (including high thermal conductivity, low mechanical properties and water uptake) prompt the need for improved PAMs. This study explores the pyrolysis behavior and char-forming capabilities of NPR and a potential alternative PAM, poly(1,6-dimethyl phenol) (PPO), through both theoretical and experimental approaches. A graph neural network (GNN) was developed to predict structure-property relationships, revealing that benzyl group positioning and oxygen atom placement significantly influence YC. PPO's para-positioned …


Sensitivity Analysis Of A High-Power Wireless Power Transfer Charging Pad For Heavy-Duty Electric Vehicles To Inform Thermal Management, Jorge A. Hernandez-Ramiro 2025 Utah State University

Sensitivity Analysis Of A High-Power Wireless Power Transfer Charging Pad For Heavy-Duty Electric Vehicles To Inform Thermal Management, Jorge A. Hernandez-Ramiro

All Graduate Theses and Dissertations, Fall 2023 to Present

As the world shifts to net zero carbon emissions, many challenges lie ahead. Currently, heavy-duty vehicles produce a large amount of pollutants that are released into the air, affecting air quality in small and large cities. Transitioning heavy-duty vehicles, such as trucks and buses, into electric vehicles can help resolve this problem.

Electric vehicles and the infrastructure to support them are becoming a viable solution to combating climate change. By no means is electrification perfect yet. Concerns like range anxiety have made the transition to electrifying transportation a slow process. However, implementing Wireless Power Transfer (WPT) charging pads is a …


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