Engineering Commons^™

Dlc Thin Films For Semiconductor Applications, Balam Arturo Sotelo

Open Access Theses & Dissertations

The growing need for resilient semiconductor supply chains has increased the interest in developing local and accessible materials fabrication strategies. Since large-scale semiconductor manufacturing is complex to establish quickly, simpler deposition techniques may provide a practical route to start developing semiconductors materials. Diamond-like carbon (DLC) is a promising candidate in this context because its properties can be tailored through substrate selection and processing parameters.

This thesis establishes an initial framework for the study and fabrication of diamond-like carbon (DLC) materials in the Department of Physics at The University of Texas at El Paso. DLC thin films were deposited by magnetron …

Optimization Of A Cryogenic Electrical Characterization System And Its Application To Thermal Admittance Spectroscopy, Angel Efren Garcia

Open Access Theses & Dissertations

Defect characterization in semiconductors relies on locating trap levels through the temperature dependence of carrier emission, which makes the accuracy of the device temperature a limiting factor in every extracted parameter. This work addresses the limitations in the cryogenic electrical characterization system at The University of Texas at El Paso, where Deep-Level Transient Spectroscopy (DLTS) had been established but produced activation energies that disagreed with literature values by as much as 0.33 eV. The discrepancy was traced not to the technique but to the transfer of heat to packaged devices in a probe station designed for on-die measurement. The cryogenic …

A Hybrid Machine Learning-Based Feasibility Prediction Of 3d Mechanical Designs Using Scalar And Geometric Features, Md Mohsin Uddin Fahim

Open Access Theses & Dissertations

The computational bottleneck of structural feasibility screening frequently hinders the transition from a digital 3D model to a physically manufactured component. Traditionally, engineers have relied on either overly rigid heuristic constraint checks or computationally exhaustive finite element simulations. To address this inefficiency, this thesis proposes and validates a hybrid machine-learning framework to predict the structural manufacturability of 3D mechanical designs. Moving beyond the conventional reliance on isolated scalar parameters, the proposed methodology extracts and integrates both scalar manufacturing constraints (e.g., tolerance, minimum feature thickness) and spatial geometric descriptors (e.g., bounding volume, aspect ratio) directly from STL mesh data. Utilizing a …

Ai-Assisted Import Of Static Requirements Documents Into Sysml Models Using A Vibe-Coded Plugin Approach, Joshua Larson

Open Access Theses & Dissertations

Model-based systems engineering (MBSE) promises a single authoritative model in place of static documents, but the translation of requirements documents into that model remains manual, slow, and dependent on scarce modeling expertise. This thesis asks whether an AI-assisted workflow can automate that translation, and whether the tooling itself can be built by vibe coding, in which a practitioner directs an AI in natural language rather than writing code directly. The result is a plugin for Magic Systems of Systems Architect (MSoSA) 2022x that reads a PDF requirements document, extracts requirements through the Anthropic Claude API, and generates a SysML model …

A Hybrid Vsm-Des Approach For Bottleneck Identification And Reduction In A Continous One-Piece Flow Assembly System, Ana Sofia Rey Nevarez

Open Access Theses & Dissertations

Identifying bottlenecks in a production line is rarely as easy as pointing to the slowest station and assuming that's where the problem is. The real question is which stations moves the system when you change them. Lean manufacturing has been one of the initiatives that major companies in the U.S. have been trying to adopt to remain competitive. This thesis aims to understand the results of applying a combination of a Discrete-Event Simulation (DES) with a Value Stream Mapping (VSM), to find the bottleneck of a continuous one-piece flow assembly line of a tier-1 power management manufacturer from the El …

A Verification And Validation Framework For Model-Based Systems Engineering Using Executable Architecture Models And Integrated Simulation, Michael O. Cruz

Open Access Theses & Dissertations

Model-Based Systems Engineering (MBSE) reaches its full value when architecture does more than describe a system. It should help engineers carry stakeholder need and system intent into executable analysis, preserve the configuration and criteria used, and return evidence that can be reviewed in the same architecture context. This dissertation develops and evaluates a seven phase, architecture-driven verification and validation framework for that purpose. The framework defines the responsibilities that connect SysML architecture, controlled execution, domain simulation, configuration management, persistent data, analytics, and accountable engineering review. A reusable Cameo/SysML digital test environment plugin provides the reference implementation for orchestration and model …

Prevention Vs Detection: A Discrete-Event Simulation Assessment Of Inspection Staffing, Pick-To-Light, And Ai-Based Inspection In Aerospace Wire Harness Kitting, Jorge Mares

Open Access Theses & Dissertations

Aerospace wire harness manufacturing operates under conditions that standard industrial engineering methods were not designed to address. Volumes are low, configurations change between orders, assembly is performed manually by certified labor that cannot be expanded quickly, and IPC/WHMA-A-620 Class 3 acceptance requires that every unit be verified rather than sampled. Kit assembly concentrates the resulting risk, because each item retrieved from the rack is an independent selection decision, and the attributes distinguishing a correct item from an incorrect one are frequently not visible to the operator. Errors introduced there are discovered downstream, after substantial certified labor has been invested. A …

Electrical Characterization Of Wide-Bandgap Devices Via Laboratory Measurements, Tcad Simulation, And Analytical Modeling, Sebastian Alessandro Mimbela

Open Access Theses & Dissertations

Gallium nitride (GaN) devices are important for high-power, high-frequency, and harsh-environment applications because of their wide bandgap, high breakdown capability, and electrical performance. This thesis focuses on the electrical characterization of GaN-based devices using laboratory measurements, analytical modeling, and TCAD simulation. Current-voltage (I-V) and capacitance-voltage (C-V) measurements were performed on a GaN Schottky diode. The measured data were analyzed to extract key parameters such as ideality factor, Schottky barrier height, series resistance, donor concentration, built-in potential, depletion width, and maximum electric field. A TCAD process was also developed in Synopsys Sentaurus to recreate the main geometry, layer structure, contacts, and …

Unsupervised Learning For Minimum Error Adaptive Sampling Of Atmospheric Vertical Temperature Profiles, Alejandro Medina

Open Access Theses & Dissertations

Uncrewed aerial systems (UAS) collect atmospheric data on fixed schedules, and endurance limits make blind searching costly. This thesis develops an unsupervised representation that summarizes a multi-decade radiosonde archive into a compact library of atmospheric states, giving a UAS an expectation of the column before it flies. The method standardizes both axes of a profile against the sounding's own surface conditions, which makes the representation independent of season and of station elevation. Applied to 27,270 soundings from Norman, Oklahoma, over the lowest 1.5 km of the atmosphere, 12 representative profiles reconstruct the record to within 1.0 °C of mean absolute …

From Screening To Risk: Assessment Of Potentially Toxic Elements In Children's Toys Along The El Paso, Tx, U.S.A.-Ciudad Juarez, Chih, Mex Border Region, Jesus Rodriguez-Loya

Open Access Theses & Dissertations

Children are uniquely vulnerable to potentially toxic elements (PTEs), absorbing them more readily than adults and encountering them through the hand-to-mouth behaviors of early childhood. Exposure carries element-specific consequences: lead (Pb) impairs cognitive development with no established safe threshold; cadmium (Cd) damages the kidneys and reduces bone mineralization; arsenic (As) is a recognized carcinogen and developmental neurotoxicant; hexavalent chromium (Cr) is carcinogenic and induces allergic dermatitis; nickel (Ni) is the leading cause of allergic contact dermatitis in children; and excess zinc (Zn) disrupts copper absorption and causes gastrointestinal distress. Toys are a distinctive source of such exposure, yet none had …

Integrated Framework For Tsn-Enabled Ot Networks And Scalable Edge Computing To Enable Real-Time Feedback Loop, Taposh Kumer Sarker

Open Access Theses & Dissertations

The advent of Industry 5.0 envisions smart manufacturing characterized by human centricity, sustainability, and systemic resilience. Realizing this vision requires the seamless convergence of Information Technology (IT) and Operational Technology (OT) networks. However, integrating massive, stochastic IT edge computing workloads with deterministic physical control loops introduces severe architectural friction, inherently threatening the safety guarantees required by industrial machinery. To resolve this fundamental incompatibility, this dissertation proposes the Edge-Augmented Real-Time Industrial Control System (EA-RICS).

EA-RICS is a comprehensive, multi-layered architecture designed to dismantle systemic bottlenecks across the physical data plane, the centralized control plane, and the edge operating system. First, the …

Information-Aware Autonomy Through State Estimation, Control, And Observability, Andres Enriquez Fernandez

Open Access Theses & Dissertations

State estimation is fundamental to autonomous systems operating in uncertain environments, where navigation, coordination, and decision-making depend on accurately inferring internal system states from incomplete and noisy observations. While classical estimation theory primarily focuses on reconstructing hidden states from available measurements, practical autonomous systems must also contend with sensing interruptions, communication constraints, limited computational resources, and nonlinear system dynamics that reduce the availability and usability of estimation-relevant information. This dissertation adopts an information-centric perspective on state estimation by introducing the concept of an Information Lifecycle, in which information is generated through system behavior, utilized by estimation algorithms under operational constraints, …

Process Optimization Of Directed Energy Deposition Via Dmaic Methodology And Lean Manufacturing Principles, Erick Gerardo Molina Castaneda

Open Access Theses & Dissertations

Additive Manufacturing (AM), particularly Direct Energy Deposition (DED), has gained increasing relevance in industrial and research environments due to its capability to manufacture complex geometries and repair high-value components. However, despite its technological advantages, DED processes often lack standardization, clear documentation, and structured workflows, especially in academic laboratories. This research aims to optimize and standardize DED processes through the application of Lean Manufacturing principles using the DMAIC (Define, Measure, Analyze, Improve, Control) methodology. The study was conducted at the Keck Center for 3D Innovation, focusing on pre-printing and printing activities. Key issues were identified. Improvement actions included the implementation of …

Effective Prediction Of Martensite Start Temperature By Hybrid Machine Learning And Ethical A.I. In Materials Science, Agniprava Banerjee

Open Access Theses & Dissertations

The martensite start temperature Ms governs heat treatment design and mechanical property development in martensitic steel alloys. Accurate prediction of Ms from chemical composition alone would accelerate alloy development, yet existing empirical equations lack accuracy for multi-component steels and purely data-driven models provide no physically principled behavior outside their training domain. This dissertation develops a hybrid machine learning-physics framework for predicting Ms in steel alloys from composition. The MAP Cambridge dataset (1,020 cleaned records, 15 alloying elements) is processed through a five-stage cleaning pipeline and a 21-feature physics augmented representation, including the Ghosh-Olson Ms thermodynamic prediction as an explicit feature. …

Additive Manufacturing Of Spatially Variant Actuating Structures From Shape Memory Polymers., Katia Lizbeth Delgado Ramos

Open Access Theses & Dissertations

This dissertation studies the structure-processing-function relationships of additively manufactured shape memory polymer blends, with emphasis on mechanical anisotropy. Chemical exposure, thermally activated recovery, self-healing behavior, and 4D printed functional response. Two polyester-based blends were studied: a binary blend composed of polycaprolactone and thermoplastic polyurethane (PCL/TPU) blend, and a ternary blend composed of polycaprolactone/thermoplastic polyurethane/ polylactic acid (PCL/TPU/PLA) blend. The materials were melt-compounded using a twin-extruder to produce filament for fused filament fabrication (FFF). Specimens were fabricated using four different raster orientations, 0°,90°, 0/90°, and 45°, to investigate the influence of processing architecture and composition on the mechanical performance, recovery behavior, …

An Approach To Incorporate Skid Resistance Into Balanced Asphalt Mix Design Framework, Sandeep Reddy Gottam

Open Access Theses & Dissertations

The Balanced Mix Design (BMD) process aims to achieve an economical blend of aggregates, binder, and additives for satisfactory performance against rutting and cracking-related distresses, compared to volumetric design methods. Although the BMD process improves the structural performance of pavements, functional performance is essential for the comfort and safety of road users. Road user comfort is influenced by pavement distresses, while road user safety is largely determined by the skid resistance (frictional resistance) of the pavement. The aim of this dissertation was to incorporate skid resistance into the BMD framework through an approach. To develop an approach that integrates with …

First-Principles Study Of Uranium Mononitride, Roy Noe Herrera Navarro

Open Access Theses & Dissertations

This thesis presents a first-principles investigation of uranium mononitride (UN), withemphasis on the connection between uranium 5f electron correlation and defect stability. Electronic-structure calculations were performed within density functional theory using the Vienna Ab initio Simulation Package. Exchange-correlation effects were treated within the generalized gradient approximation, and a Hubbard correction was applied to the uranium 5f manifold. The adopted Hubbard parameter was motivated by first-principles linear-response analysis and considered in the broader context of DFT+DMFT descriptions of correlated uranium systems, including recent interpretations of UN as a Hund-metal system. Bulk UN was studied in unit-cell and 2 x 2 x …

Additive Manufacturing Of Roman Concrete-Inspired Self-Healing Polyvinyl Alcohol-Polylactic Acid Blends: Influence Of Composition, Processing Temperature, And Raster Pattern On Print Quality And Mechanical Performance, Stephanie Moreno

Open Access Theses & Dissertations

This study investigates development of Roman concrete-inspired self-healing polymer blends based on polyvinyl alcohol (PVA) and polylactic acid (PLA) for the additive manufacturing (AM) process of fused filament fabrication (FFF). The motivation for this work stems from the need to enhance durability and functionality of biodegradable polymers while addressing environmental concerns associated with plastic waste. Inspired by the multifunctional and hierarchical architecture of Roman concrete. PVA is integrated as a hydrophilic, sacrificial phase similar to lime clasts, embedded inside a PLA-rich structural matrix to promote physical interaction and water-activated self-healing behavior. Binary PVA:PLA blends with ratios of 5:95, 10:90, 20:80 …

Bead-Weaved Layered Prints For Improved Interlayer Adhesion In Additive Manufacturing, Arianna Isabel Villegas

Open Access Theses & Dissertations

Additive manufacturing (AM) with polymer materials has widespread adoption across industries due to its numerous benefits: rapid prototyping, material variety, cost efficiency, manufacturing complexity, on-demand production, and sustainability. AM enables fast prototyping, diverse material choices, and cost savings by eliminating tooling and reducing waste. It excels at producing intricate, lightweight designs. On-demand production reduces inventory and lead times. Polymer AM contributes to sustainability by minimizing material waste. These advantages make polymer AM popular in aerospace, automotive, healthcare, and consumer products industries. Despite these advantages, interlayer adhesion has been a reoccurring issue with AM of polymer materials. With polymer printing, there …

Bridging Industry And Academia In Engineering Leadership Education: Using Q Methodology To Identify The Viewpoints Of Engineering Professionals On Effective Engineering Leadership, Pamela Edith Campos Valles

Open Access Theses & Dissertations

Background: Engineering leadership has been recognized as a key professional skill by the U.S National Academy of Engineering, leading to increased attention and integration in engineering education research and development. The perception and recognition of leadership within the engineering field remains limited by the widespread definitions of leadership and limited characterization of engineering leaders. The Contextual Engineering Leadership Development framework is grounded on a discipline specific definition of engineering leadership and approaches to leadership development derived from engineering undergraduate programs. The use of this framework provides the opportunity to describe what engineering leaders prioritize, enabling the identification and characterization of …

Simultaneous Carrier, Cargo, And Functional Tracking Of Lipid Nanoparticles, Hannia Vanessa Balcorta Muñoz

Open Access Theses & Dissertations

Lipid nanoparticles (LNPs) have become effective delivery vehicles in nanomedicine, particularly for nucleic acid-based treatments. However, a major limitation remains in the field regarding the simultaneous monitoring of the nanoparticle carrier, its encapsulated payload, and the resulting functional protein production in both in vitro and in vivo systems. Furthermore, traditional lipophilic dyes employed for labeling LNPs frequently exhibit incompatibility with tissue-clearing methods, such as CLARITY, due to signal loss following lipid removal. This research developed and evaluated a new fluorescent labeling method using CM-DiI, a dye that reacts with thiols, for multimodal tracking of LNPs. CM-DiI was included in the …

A Systems Engineering-Based Method For Enabling Digital Transformation In A Binational Small Healthcare Enterprise, Manuel Adrian Alvarez Ramirez

Open Access Theses & Dissertations

The year 2020, often described as "the great accelerator" for emerging technologies, marked a period of significant transformation in lifestyles, work patterns, and business strategies. For instance, online meetings have become more convenient than in-person interactions, even with colleagues in neighboring offices. For small businesses, rapid regulatory and technological changes required swift adaptation, including the acquisition of new technologies, tools, and software to ensure survival. This transition also necessitated adopting indirect engagement, revising communication protocols, and digitally transforming information. Small and Medium-sized Enterprises (SMEs) in essential service sectors face also a fundamental paradox: their dependence on the skills, relationships, and …

Development Of A Simulation-Driven Evaluation System For Foreign Objects In Aircraft Structures, Daniela Garcia

Open Access Theses & Dissertations

This thesis investigates the use of simulation-driven methods to evaluate the behavior and potential impact of foreign objects within aircraft structures. Foreign Object Damage (FOD) remains a major concern in aerospace safety, as small components unintentionally left inside aircraft compartments can create uncertainty regarding their effect during flight. Although current inspection methods can detect the presence of foreign objects (FOs), they often cannot determine whether these objects pose a significant structural risk, leading to conservative maintenance decisions. To address this limitation, this work develops a simulation-based framework that integrates Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) to evaluate …

Influence Of Nickel Content On Microstructural Evolution And Densification Of Tungsten Fabricated Via Vat Photopolymerization, Jose Miguel Gonzalez

Open Access Theses & Dissertations

Hybrid additive manufacturing of tungsten-nickel alloys, combining vat photopolymerization (VPP) for patterning with custom thermo-hydrogen post-processing for reduction and densification, has emerged as a promising route for fabricating complex, high-resolution tungsten architectures. However, fabrication of tungsten via this hybrid AM technique remains challenging due to poor densification and significant defect formation during debinding and sintering. In this work, these limitations were addressed using nickel as a sintering aid in combination with controlled thermal processing conditions. Existing studies on activated sintering of tungsten typically focus on a single composition or sintering condition, limiting understanding of the combined effects of composition and …

Ai-Based Framework For Elucidating The Ring Opening Energy Of Cycloalkanes, Evan Griffin

Open Access Theses & Dissertations

Cycloalkanes are a prominent component of jet fuels due to their high volumetric energy density and lower soot yield compared to aromatics. However, the structural nuance of cycloalkanes can make predicting their combustion kinetics challenging. The present study aims to develop a quantitative structure-property relationship of the ring opening energy (ROE) of cycloalkanes. A total of 253 cycloalkanes were curated from the ZINC15 database, ranging from monocycloalkanes to tetra-cycloalkanes. The 3-D cartesian coordinates of the closed shell and open shell diradical states for all curated cycloalkanes was generated with RDKit in Python and used MMFF94 to optimize the molecular geometries. …

Additively Manufactured Grx-810 Alloy: The Influence Of Build Interruptions Onmicrostructure, Tensile Strength And Fatigue Life., Javier Eduardo Lares Monarrez

Open Access Theses & Dissertations

This study investigates the influence of build interruption on the microstructure, microhardness, tensile behavior, and fatigue performance of laser powder-bed fusion (LP-BF) specimens in both the as-built and heat-treated conditions using the GRX-810 alloy. The heat treated condition incorporated Hot Isostatic Pressing (HIP), and both interrupted and uninterrupted samples were evaluated to isolate the effects of processing variables. Results indicate that build interruption did not produce significant changes in yield strength, ultimate tensile strength, or ductility, suggesting that the LP-BF process is robust enough to tolerate controlled interruptions without compromising bulk mechanical integrity. Microhardness measurements and microstructural observations further supported …

Quantifying Spatiotemporal Ev In-Motion Load Dynamics For Flexible Distribution Grid Operations, Travis Newbolt

Open Access Theses & Dissertations

The emergence of novel in-motion Electric Vehicle (EV) charging through Dynamic Wireless Power Transfer (DWPT) technology is enabling the transformation of traditional roadway infrastructures into fully integrated Electrified Transportation Networks (ETNs) by the direct coupling of roadways with electric power grids. This paradigm has the potential to improve charging safety, extend driving ranges, reduce EV manufacturing costs through smaller battery sizes, and shift EV charging demand to periods when Distributed Energy Resources (DERs) are more readily available. In addition, the transition to ETNs can improve air quality and reduce noise pollution by displacing fossil fuel consumption from vehicles to centralized …

Mitigating Clay Contamination In Field Sands To Prevent Early Age Failure In Asphalt Mixtures, Suhail Rashid Vaid

Open Access Theses & Dissertations

Field sands are commonly incorporated into hot mix asphalt (HMA) pavements due to their availability and cost-effectiveness compared to crushed aggregates, primarily to enhance workability. Their usage, however, is generally restricted to no more than 10% of the total aggregate content because of concerns regarding their potential negative influence on pavement performance. A major concern is the presence of deleterious clay particles, which can substantially affect the behavior of asphalt concrete (AC). This research explored how clay minerals influence AC performance by examining Superpave mixtures and characterizing both clay and sand properties. The methylene blue value (MBV) was employed to …

Unmixing In Very High Spatial Resolution Hyperspectral Images, Ana C. Chavez Lopez

Open Access Theses & Dissertations

Hyperspectral Imaging (HSI) captures hundreds of contiguous narrow wavelength bands across the optical region of the electromagnetic spectrum collecting the spectral signature of materials in the field of view of the sensor enabling detailed analysis of each pixel's spectral signature. Satellite or airborne remote sensing systems often capture imagery with low to moderate spatial resolution (LMSR). At these resolutions, the measured spectral signature is a mixture of the signatures of the materials within a single pixel. This mixing of spectral information makes analysis and material identification difficult. Hyperspectral unmixing is an analysis technique that decomposes a pixel's spectrum into constituent …

Mbse For Process Analytical Technology- Bwon Analysis Case Study, Arnaldo Garcia Cervantes

Open Access Theses & Dissertations

Volatile Organic Compound (VOC) emissions from industrial sources, particularly Benzene, present significant environmental and public health challenges. Regulatory frameworks, such as the U.S. Environmental Protection Agency’s Benzene Waste Operations NESHAP (BWON), mandate strict monitoring of control devices, specifically carbon adsorption canisters, to prevent emission breakthrough. However, current industry practices rely heavily on manual Method 21 testing, a labor-intensive process that creates lagging indicators and increases the risk of non-compliance events. This thesis proposes the design and development of an on-line, automated fugitive emissions monitoring system tailored for carbon canisters using Model-Based Systems Engineering (MBSE). Utilizing the Object-Oriented System Engineering Method …