Engineering Commons^™

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 …

Using Scaffolding, Gamification, And Self Awareness To Create Responsive Ux/Ui In Cad Software To Nurture Metacognition In Novice Users, Obed Ibrahim Gonzalez

Graduate Theses and Dissertations

Computer-aided Design (CAD) software represents a significant shift from manual and analog design processes to digital workflows, offering substantial utility, accuracy, and productivity benefits. However, CAD software often presents a steep learning curve, particularly for novice users who are new to the software or possess only basic knowledge. Traditional CAD curricula have predominantly focused on technical problem-solving—teaching tools and systems—while often neglecting strategic knowledge that encompasses reflection, planning, and refining, which are essential components of metacognition. Metacognition is crucial for transforming novices into experts who use fewer and more complex commands, employ sophisticated planning, and achieve their goals more efficiently. …

Development And Investigation Of A Novel Near-Wall Methodology For Large-Eddy Simulation Based On Dynamic Hybrid Rans-Les, Michael Tullis

Graduate Theses and Dissertations

The use of computational fluid dynamics (CFD) to test engineering designs with reduced cost and time compared to physical testing has become increasingly common in a range of industries and research fields. While numerical methods exist that can accurately solve the equations that govern the flow of fluids, these methods are computationally expensive for practical engineering problems due to the large amount of computational power needed to resolve the fluid flow over the entire range of length and time scales. Several different approaches have been introduced to address this computational cost issue, namely Reynolds-averaged Navier-Stokes (RANS) modeling and scale resolving …

Mechanical Properties And Microstructural Characteristics Of Hydrated Bcsa Cement At Extreme Temperatures, Behzad Farivar

Graduate Theses and Dissertations

Belitic Calcium Sulfoaluminate (BCSA) cement is an alternative binder known for its rapid setting and high early strength, making it ideal for applications such as fast-track construction and repair. This study presents a comprehensive investigation into the behavior of BCSA cement under a wide range of curing temperatures, with emphasis on early-age strength development, admixture effects, and the use of the maturity method for strength prediction.

The research evaluates BCSA cement performance in both hot and cold environments, ranging from approximately -28.9 °C (-20°F) to 49 °C (120°F). In warm climates, citric acid was used as a set retarder to …

Generative Ai In Cs Education: Navigating The Intersection Of Student Usage And Faculty Vision, Matthew Scott Mcclenahan

Graduate Theses - Engineering Management

Generative AI tools are rapidly transforming both educational and professional landscapes, creating an imperative for computing education to adapt. This mixed-methods study investigates how Computer Science and Software Engineering students utilize these tools and how faculty perceive their impact within a small private STEM institution. Through surveys of 40 CS/SE students and 29 faculty members, complemented by in-depth interviews with 10 faculty, this dual perspective enables direct comparison between student practices and faculty perceptions, helping to identify areas where educational policies and practices may need adjustment.

Analysis identified six distinct categories of GenAI usage: Learning Enhancement (29.2%), Productivity and Efficiency …

Low-Field Magnetoresistance In Nanocomposites Of La₀.₇Sr₀.₃Mno₃ And Metal Oxides, Nicholas K. Thiel-Hudson

University Scholar Projects

Pure La_0.7Sr_0.3MnO₃ (LSMO) exhibits colossal magnetoresistance (CMR) with large applied magnetic field over a narrow temperature range (intrinsic behavior), limiting its application to narrow temperature ranges. In contrast, the extrinsic CMR effect originates from inhomogeneities at larger length scales, such as grain boundaries and phase separation, where the structural features act as tunneling barriers, leading to a low-field magnetoresistance (LFMR) response, thereby expanding the application of LSMO into the low-field regime over a broader temperature range. In this work, the magnetotransport behavior of pure LSMO thin film is compared to the composite layered heterostructures of …

Dean Sicking: Celebrating Safety, Ashley S. Mcguire

Patent Coloring Books

Patent coloring book

Mentorship As Experienced By Black Woman In Stem At Predominantly White Institutions, Chelsei Lasha Arnold

Honors Theses

Black female college students have experienced a marginalized history in STEM higher education. Although students associated with this identity are enrolling and earning college degrees at historic rates, there is a gap in the resources available, especially at predominantly white institutions (PWIs), for these students once they reach collegiate level. The goal of this study is to examine the role of mentorship in the lived experiences of Black women STEM students at PWIs. I used interpretive phenomenological analysis on transcribed interviews to examine psychological patterns, and then I carefully analyzed the phenomenon of being mentored. Through the analysis, I sought …

Analysis Of The Mechanical, Microstructural, And Biocompatibility Properties Of Novel Magnesium-Based Hybrid Nanocomposite Materials For Orthopedic Applications, Thomas H. Mcgehee

Biomedical Engineering Undergraduate Honors Theses

Bone fractures and complete joint replacements are becoming more common, primarily because of accidents and age-related issues. Conventional solutions to treat these orthopedic injuries involve inert metal alloys to correct bone fractures until the healing process is complete, where a secondary revision surgery is then required to remove the implant. Issues regularly associated with these solutions include stress shielding, bone resorption, infection, inflammation, and implant loosening. Magnesium (Mg)-based nanocomposites offer promising potential as an alternative to commonly used metal alloys because of their favorable mechanical properties and biocompatibility. A particularly advantageous property of Mg is its natural biodegradation in vivo, …

Fff Process Parameter Identification With Machine Learning Models, Owen Davis Smith

Honors Theses

Additive manufacturing (AM) has seen increasing popularity in recent times, owing to its efficiency and high speeds, particularly with processes such as Fused Filament Fabrication (FFF). Input process parameters have large impacts on the final part. Incomplete process parameters, which can occur for a variety of reasons, make tasks such as replicating AM studies difficult. A machine learning model can be trained on in-situ layer-wise images collected during a print to combat this issue, predicting process parameters with sufficient data. In this study, two parameters were tested: infill pattern orientation and extrusion width. Twelve parts were produced per parameter and …

Understanding Initial Capacity Loss In Substituted Layered Oxide Cathodes For Lithium-Ion Batteries, Gy Wyco

Graduate Dissertations and Theses

Layered oxide LiCoO₂ (LCO) pioneered the commercialization of lithium-ion batteries (LIBs) in 1991, yet the growing demand for higher energy density has driven the development of substituted layered oxides, including LiNiᵧMn𝓏Co₁₋ᵧ₋𝓏O₂ (NMC) and LiNiᵧCo₁₋ᵧ₋𝓏Al𝓏O₂ (NCA). Despite the increased energy density, achieving full lithium reversibility during the first charge-discharge cycle remains a critical challenge: approximately 0.08–0.11 Li is “irreversibly” lost after delithiation, resulting in a substantial capacity loss of 10–15%. This loss is conventionally attributed to bulk lithium transport limitations arising from three interrelated factors: (1) contraction of the c-axis lattice during lithiation, (2) reduced rate of tetrahedral site hopping (TSH) …

Gpu-Based Visual Effects System, Matthew Jaffe

Programming Theses and Dissertations

The objective of my thesis is to create a robust and efficient VFX system that can be used to edit and add particle effects to games. This system utilizes a compute shading pipeline to simulate millions of particles in real time. The behavior of particles is widely customizable through many different properties which can be manipulated changed over the lifetime of particles and introduce procedural randomness. There are many ways to customize the motion of the particles with various forces and collision. Additionally, particles can be rendered as billboarded quads, full meshes or partial meshes with different settings to further …

Design And Implementation Of A Notification System For The Purpose Of Improving Communication Between Nurses And Patients, Aindrila Bhattacharya

2025 Spring Honors Capstone Projects - Archive

Communication is an important part of how nurses administer treatment to their patients. Without proper communication, it is difficult for the nurses to connect with their patients and vice versa. This paper will be going into some previous literature about communication between patients and nurses in general, communication with respect to pediatric patients and how notification systems have been implemented in the past. It will then discuss the methodology and implementation of a notification system for a medical app. The medical app is meant to facilitate communication from the side of the patient to the nurse, while the notification system …

Controlling A Mobile Inverted Pendulum And Optimizing Leaning Angle To Apply Force Using Reinforcement Learning, Aryan Mediratta

2025 Spring Honors Capstone Projects - Archive

Reinforcement Learning is a Machine Learning paradigm that involves simulating learning through rewards and penalties in intelligent systems. This technique is often employed in robotics when traditional control methods are insufficient or when human intuition does not provide a good solution on how to control robot systems, This project involves training a Segway-style Mobile Inverted Pendulum (MIP) robot to balance and push a box forward. The BeagleBone Blue board is used that includes a built-in Inertial Measurement Unit (IMU) and encoder ports. These sensors enable the system to measure its current state. The goal is to find the optimal leaning …

Integration Of Notes Section With Access Management, Inshaad Merchant

2025 Spring Honors Capstone Projects - Archive

This research explores the development of a notes section with access management, specifically designed to assist Computer Science and Engineering students to revisit and revise all the notes and key points highlighted in their tutoring sessions. While the senior design project focuses on the CSE Student Success Center application that allows students to schedule tutoring sessions, manage appointments, and manage their profiles within this application, the Honors capstone project adds on a specific section for students to save all their notes and important video links and attachments to continue their learning outside of the tutoring sessions. A centralized platform for …

Tutortech: A Web App For A Smarter And More Efficient Tutoring System, Smarika Pathak

2025 Spring Honors Capstone Projects - Archive

The Computer Science and Engineering (CSE) department faces challenges with managing its tutoring services, especially tracking attendance, booking sessions, and overall management of the tutoring system - all of which severely limits the ability for tutors to connect and engage with students. To help overcome these issues, TutorTech, a web-based application that provides improved management of the tutoring system and supports more engaging learning experiences between students and tutors was designed. Through this project, the aim was to optimize the TutorTech search capabilities - assisting students to find tutors based on skills, while also considering the effect of user interface …

Beyond The Hard Hat: Examining Barriers Of Women In Construction, Allison Pham

2025 Spring Honors Capstone Projects - Archive

The construction industry is falling behind in female representation, with women only making up 11.2% of the industry. The existing labor shortage is further exacerbated by the limited interest among women to pursue a career in construction. The purpose of this research is to investigate the factors that contribute to the lack of women in the construction industry and explore how HR strategies can attract and retain women in construction careers. Environmental, Social, and Governance (ESG) reports from three different industries were used to analyze the percentage of men and women employees. Multivariate regression analyses were conducted to examine whether …

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 …

Laboratory Performance Evaluation Of Hot Mix Asphalt Mixtures With Incorporations Of Different Recycled Plastic Additives Using The Dry Method, Alvaro A. Cerdas Murillo

All Theses

Asphalt pavements are susceptible to distresses such as cracking, rutting, and moisture damage, which reduce service life and increase maintenance costs. This study evaluated the use of recycled materials from HDPE and LDPE plastics (shredded and pelletized) and PET fibers of two lengths as asphalt mixture additives to provide a sustainable approach to improve performance. The materials were incorporated into two control mixtures designed with the Balanced Mix Design (BMD) method. Laboratory testing assessed cracking and rutting resistance, moisture susceptibility, abrasion resistance, and dynamic modulus across a range of conditions.

Results showed that PET fibers improved cracking resistance due to …

Computational Modeling Of Torque Arm And Load Cell Interactions In Uta Racing Brake Dynamometer, Anthony A. Aiyedun

2025 Spring Honors Capstone Projects - Archive

The UTA Racing Team is developing a brake dynamometer to measure the coefficients of friction of various brake pads and calipers under controlled conditions. The dynamometer simulates on-track braking scenarios, testing brake pads at temperatures up to 1300ºF and pressures similar to racing environments. Its primary goal is to generate accurate friction vs. temperature graphs for various brake pad and rotor combinations, addressing the need for dedicated testing equipment. This project creates an ANSYS simulation of the torque arm and load cell interaction. The computational model accurately represents the relationship between applied torque and measured load cell force, incorporating precise …

A Data Driven Approach To Student Success: Visualizing Engagement And Performance Metrics, Araohat Kokate

2025 Spring Honors Capstone Projects - Archive

Many tutoring centers lack tools to analyze and visualize key performance metrics, limiting data driven decision making. This study develops a data visualization feature for the CSE Student Success Center App at the University of Texas at Arlington, enabling administrators to track student engagement, tutor performance and session trends. Using the data of students and tutors, the feature provides interactive dashboards for real-time insights. Administrators can monitor attendance patterns, tutor workloads and booking trends, optimizing resource allocation. Findings indicate that real-time data visualization enhances decision-making, reducing manual effort while improving operational efficiency. This can further help improve student support services. …

Design Of A Helical-Type Rotor For Enhanced Energy Harvesting In Smallscale Vertical Axis Wind Turbines, Aadee M. Mitee

2025 Spring Honors Capstone Projects - Archive

This research investigates the design optimization of a small-scale Vertical Axis Wind Turbine (VAWT) utilizing helical rotor blades fabricated from graphene-reinforced polyethylene terephthalate. While previous studies have largely concentrated on largescale turbines for rural environments or on high-performance composite materials that often compromise recyclability, this research addresses the specific challenges associated with small-scale VAWTs intended for urban and populated areas. The study identified tip speed ratio, helical angle, and blade length as critical design parameters. Optimization of these parameters was achieved through systematic evaluation of their impact on the turbine’s aerodynamic performance, quantified by the coefficient of performance. Structural and …

Development Of A Portable Electroencephalogram With Display, Seth D. Davis

Electronic Theses and Dissertations

In this experiment, the goal was to design, build, and test an Electroencephalogram (EEG) circuit that would then be paired with a touchscreen display as a portable unit for use in Schizophrenic research at East Tennessee State University at the Quillen College of Medicine. The requirements for this prototype denoted that the device had to be able to obtain a signal from two electrodes placed on the head of an individual with a third attached to the ankle as a ground, amplify and filter the signal, and display the results on a touchscreen display for recording and analyzing. The circuit …

Triple-Valued Neutrosophic Set, Quadruple-Valued Neutrosophic Set, Quintuple-Valued Neutrosophic Set, And Double-Valued Indetermsoft Set, Takaaki Fujita

Neutrosophic Systems with Applications

Concepts such as Fuzzy Sets, Neutrosophic Sets, Rough Sets, and Plithogenic Sets have been extensively studied to address uncertainty, finding diverse applications across various fields. A Double-Valued Neutrosophic Set (DVNS) extends traditional neutrosophic sets by introducing two distinct indeterminacy components: one leaning towards truth and the other towards falsity. In this paper, we explore Triple-Valued Neutrosophic Sets, Quadruple-Valued Neutrosophic Sets, and Quintuple-Valued Neutrosophic Sets, as well as an extension of the Indetermsoft Set, termed the Double-Valued Indetermsoft Set. Note that related concepts such as the Multi-Valued Neutrosophic Set and the n-Valued Refined Neutrosophic Set have already been established.

Exploring The Impact Of Social Interactions And Representation On The Development Of Engineering Students' Sense Of Belonging In A Summer Program., Liliana Martinez

Electronic Theses and Dissertations

Research has shown that engineering students from underrepresented minority (URM) populations experience significant retention gaps compared to their majority peers (Dickerson et al., 2014). One factor that can significantly promote academic success, retention, persistence, and psychological adjustment is a sense of belonging (Hausmann et al., 2007; Hoffman et al., 2002). There is evidence showing that Summer Bridge Programs (SBPs) can foster students’ sense of belonging (Strayhorn, 2019); however, little is known about the mechanisms through which an SBP impacts URM engineering students’ sense of belonging. This study addresses this knowledge gap by investigating the impact of the Brown Forman …

Multimodal Emotion Recognition For Human-Robot Interaction Across Neuro-Diverse Populations., Ruchik Mishra

Electronic Theses and Dissertations

This dissertation explores the integration of multimodal data streams and artificial intelligence pipelines to understand human affect in neurotypical and children with Autism Spectrum Disorder (ASD). This dissertation captures human affect in the context of human-robot interaction. For this, multiple studies have been presented with both children with ASD and neurotypical adults. This dissertation makes four contributions: 1) The first study introduces autonomy during perspective-taking teaching sessions by making verbal content generation through large language models (LLMs). This system is the first of its kind for teaching perspective-taking in a semi-autonomous manner under the supervision of domain experts. Furthermore, this …

Applying Residence Time Distribution Theory To Coronary Thermodilution Curves., Jacob Michael Miller

Electronic Theses and Dissertations

Cardiovascular diseases remain the leading cause of death worldwide and coronary microvascular dysfunction is one cardiovascular disease which is particularly challenging to diagnose and treat. Coronary thermodilution is a widely used, invasive procedure to evaluate microvascular function by generating physiological indices such as coronary flow reserve and the index of microvascular resistance. Although commonly cited as an indicator dilution method in the cardiovascular literature, current coronary thermodilution techniques lack rigorous application of the accompanying mathematical framework, thereby leaving potentially valuable diagnostic information unexploited. This study bridges that gap by demonstrating the equivalence between indicator-dilution theory and residence time distribution theory …

An Automatic Colorectal Polyps Detection Approach For Ct Colonography., Mohamed Yousuf

Electronic Theses and Dissertations

Colon cancer, also known as colorectal cancer, is a significant health concern, with increasing incidence rates, particularly among individuals under 50. This rise has led experts to recommend the introduction of regular screenings at 45 years of age for adults at average risk. Early detection through such screenings can identify precancerous polyps, allowing their removal before they develop into cancer. This proactive approach has the potential to reduce colorectal cancer deaths by up to 60%. In addition, research indicates that people diagnosed before age 50 have better survival rates, which emphasizes the importance of early diagnosis. Therefore, adhering to recommended …

Biomechanical Assessment Of Fracture Risk In Young Children With Healthy Bone And Osteogenesis Imperfecta., Keyonna Mckinsey

Electronic Theses and Dissertations

Osteogenesis imperfecta (OI) is a group of genetic bone disorders that can range from a mild increase in fractures in one’s lifetime to perinatally lethal. Biomechanical assessment via finite element analysis (FEA) can be used to provide subject specific evaluation of fracture risk and thus aid in furthering understanding of likelihood of fracture due to loading associated with common daily activities. Thus, the purpose of this dissertation research was to characterize the risk of femur fracture in young children with OI compared to that of healthy children when exposed to loading associated with common activities, specifically gait. To accomplish this, …

Bayesian Model Updating Of Structural Parameters Using Temperature Variation Data., Ujjwal Adhikari

Electronic Theses and Dissertations

Physical digital twins have now emerged as a technology in structural health monitoring and other domains of structural modeling. A Finite Element Model can be a tool for digital twin technology in conjunction with measured physical data. Developing an accurate digital model requires the integration of various parameters to replicate the real structure; however, temperature is dynamically changing, resulting in difficulty in the identification of structural parameters. Typically, temperature is considered noise or filtered out. Limited research has addressed the physics-based model using temperature variation related to structural modal properties. Finite Element Model Updating (FEMU) is a typical inverse problem-solving …