Engineering Commons^™

Intervertebral Lateral Bending Moment Differences In The Lumbar Spine Of Baseball Pitchers Across Throwing Velocities, Justin Humenay

Theses and Dissertations

Introduction Baseball pitching imposes substantial mechanical demands on the lumbar spine, a crucial link in the kinetic chain responsible for transferring energy from the lower body to the upper extremity. While increased pitch velocity is associated with greater trunk forces the specific intervertebral loading patterns during high-velocity pitching remain unclear. This study investigates differences in lateral bending moments across lumbar spinal segments between collegiate pitchers throwing at high versus low velocities.

Methods Twenty right-handed collegiate pitchers were divided into two groups: high-velocity (n = 10, 90.3 ± 1.6 mph) and low-velocity (n = 10, 81.6 ± 1.1 mph). Motion capture …

Plasmon-Assisted On-Chip Integration Of Quantum Emitter For Scalable Quantum Networking, Samprity Saha

Theses and Dissertations

In recent decades, quantum theory has sparked a revolutionary outlook on our long-standing perception of information processing and communication technologies. Photon-based quantum systems, relying on single photons governed by quantum mechanics, hold immense promise for quantum networks due to their resilience against decoherence and fast propagation speeds. However, challenges persist in realizing practical quantum networks, including the need for scalable, robust, and cost-effective quantum light. To address these challenges with classical photonic concepts, this thesis focuses on a plasmon-assisted approach for on-chip integration of single-photon sources. The study aims to develop a scalable solution for integrating quantum emitters on-chip, leveraging …

Advanced Air Preheater Sealing Systems For Enhanced Efficiency And Reliability In Thermal Power Plants, Pavan Kumar Ravulaparthy

Theses and Dissertations

Global electricity generation still relies heavily on thermal power plants, which consume vast amounts of fuel and emit significant amounts of carbon dioxide. A major but often overlooked source of inefficiency in these plants lies within the rotary regenerative air preheater (RAPH), a critical heat-exchange component where air leakage can exceed 20% in aging units. This leakage increases fuel consumption, parasitic fan power, and CO₂ emissions, while degrading boiler reliability.

This research introduces advanced adaptive sealing systems designed to mitigate these losses by dynamically compensating for rotor eccentricity, thermal distortion, and wear under harsh operating conditions. Brush seals, composed of …

Machine Learning-Driven Optimization For Utility-Scale Quantum Optimization, Bao Tran

Theses and Dissertations

Hard combinatorial optimization problems, often mapped to Ising models, promise potential solutions with quantum advantage but are constrained by limited qubit counts in near-term devices. We present an innovative quantum-inspired framework that dynamically compresses large Ising models to fit available quantum hardware of different sizes. Thus, we aim to bridge the gap between large-scale optimization and current hardware capabilities. Our method leverages a physics-inspired GNN architecture to capture complex interactions in Ising models and accurately predict alignments among neighboring spins (aka qubits) at ground states. By progressively merging such aligned spins, we can reduce the model size while preserving the …

Swarming Segregation: Leveraging Swarm Intelligence And Regionalization As Instruments For School District Desegregation, Jeffrey Wooten

Theses and Dissertations

Even after Brown led to the South briefly having the most diverse schools in the nation, schools throughout the Northeast have remained the most segregated in the nation for decades. While federal jurisprudence has made compelling desegregation pursuant to the Equal Protection Clause more challenging, New Jersey has a particularly favorable landscape to address severe segregation. With a highly diverse, densely populated public enrollment, favorable state constitutional precedent, and a history of successfully compelling desegregation, New Jersey is fertile ground exploring regional desegregation. Scholars, judges, and even plaintiffs in ongoing litigation (Latino Action Network v. N.J.) have called for New …

Laser Ablation-Induced Corrosion Resistance For Molten Salt Equipment Materials Evaluated Utilizing Electrochemical And Spectroscopic Analysis, Peggy Milota

Theses and Dissertations

Advanced reactors and used nuclear fuel separation (i.e. pyroprocessing technology) utilize high temperature salt as a thermal storage medium as well as an ionic solution for electrochemical processes. The use of these aggressive molten chloride and fluoride mediums requires specific materials or additional system alterations to extend the lifetime and structural integrity of equipment due to corrosion. Some materials, in the presence of inherently impure salt, will corrode and form oxide films in a specific formation that decreases corrosion rate by electrochemically and physically preventing elemental movement to the material surface. This is referred to as a passivation layer. However, …

Implementation Of Quantized Artificial Neural Networks With Spintronic Stochastic Computing, Saadi Sabyasachi Mr.

Theses and Dissertations

Artificial intelligence or machine learning is going through a rapid expansion. It also incurs significant costs for power and device footprints. Various approaches are being explored to design energy and hardware efficient machine learning models. Stochastic computing has been proposed for efficient machine learning implementation. It requires a source of random number generation which poses some practical challenges. So spintronic solutions such as magnetic tunnel junction has been used for random number generation. Again, spintronic random number generation to implement high precision circuit is prone to device-to-device variations. Hence we designed quantized artificial neural network with spintronic stochastic computing which …

Reverse Geometric Dispersion In The Beaufort Sea: Dissecting Sound Propagation At Long Ranges In Ducted Profiles, Jessica Desrochers

Open Access Dissertations

Acoustic propagation in the Arctic is evolving as surface temperatures increase and ice melts, resulting in a changing sound propagation environment. This study investigates the acoustic arrival structure in the Canada Basin and its connection to the underlying sound speed profiles. Two Seagliders were deployed in the summer of 2016 and 2017, diving in a sawtooth pattern collecting conductivity, temperature, and depth (CTD) data as part of the Canada Basin Acoustic Glider Experiment (CABAGE). These data are used to calculate sound speed profiles used to predict and understand acoustic arrival structures.

The warming of the Pacific Summer Water and surface …

Catalytic Deoxygenation Of Oleaginous Biomass To Renewable Diesel And Sustainable Aviation Fuel Via Decarboxylation/Decarbonylation, Chukwudalu Great Umenweke

Theses and Dissertations--Chemistry

Several technologies have been developed to produce hydrocarbon biofuels – renewable diesel (RD) and sustainable aviation fuel (SAF) – from fats, oils, and greases (FOG), with the hydroprocessing of esters and fatty acids (HEFA) representing one of the most mature pathways. In its current form, HEFA is mainly reliant on the hydrodeoxygenation (HDO) reaction, which has several drawbacks since HDO requires large amounts and pressures of hydrogen, feedstocks of high purity and cost, as well as problematic sulfided catalysts that risk contaminating the biofuel product with sulfur. A process based on decarboxylation/decarbonylation (deCO_x) offers an attractive alternative to …

Development And Prototyping Of A Modular Quadruped Towards Testing Standardization For Legged Robot Stability, Michael Conner Larsen

Graduate Research Theses & Dissertations

Legged robots are well-suited for navigating uneven and unmapped terrain, making them valuable in various robotics applications. Maintaining balance and stability in such environments relies on a combination of sensors, control strategies, and mechanical design. However, selecting the most effective sensing and control method for a given use case remains challenging. Previous studies have explored various approaches, integrating combinations of joint angle measurement, inertial measurement units (IMUs), torque-based control, leg force measurement, image processing, and machine learning, paired with numerous controller designs, which can contribute to stability. However, direct comparisons of these methods are often limited by the need for …

Characterization Of A Large-Scale Electrohydrodynamic Vortex Confinement Flow For Particle Agglomeration, Sanjay Dangi

Graduate Research Theses & Dissertations

With industrialization and the increasing use of microplastics and nanoparticle-based products, the concentration of fine particulate matter (PM2.5) in the biosphere has increased due to the disposal of manufacturing waste and expired parts. If inhaled, PM2.5 can have detrimental health effects, as these particles can travel deep into the lungs and even penetrate blood vessels. Conventional fabric filters used for indoor air quality control have drawbacks, including the need for periodic filter replacement and a high-pressure drop across the filter over time, which leads to increased power consumption. In power plants, electrostatic precipitators (ESPs) are primarily used to collect fly …

Piv Visualization Of A Sinusoidal Ehd Confinement Flow Induced By Variation In Ion Density For Electrostatic Particle Agglomeration, Md Eyasin Hossain

Graduate Research Theses & Dissertations

Long-term exposure to PM2.5, which is responsible for four million cardiovascular-related deaths worldwide, is a major concern as people spend 90% of their time indoors. Fabric filters have been commonly utilized for particle pollution control in indoor settings. However, the maintenance cost of fabric filters is relatively high, as particle accumulation on filters can lead to higher pressure drops (45 ∼ 300 Pa) and energy consumption, as well as the growth of biological organisms and the generation of airborne pathogens. An electrostatic precipitator (ESP) is filterless and widely used in the electric power industry for collecting coal fly ash. ESPs …

Md Simulation Of Femtosecond Laser-Controlled Melting Of Multiple Core-Shell Nanoparticle Systems, Shivansh Patel

Graduate Research Theses & Dissertations

This thesis presents a molecular dynamics (MD) simulation study of femtosecond laser-induced melting and heat transfer in multiple Cu–Al core–shell nanoparticle systems. The research builds upon previous single-particle studies and extends the investigation to multiple interacting nanoparticles to better understand nanoscale thermal transport and melting behavior under ultrafast laser irradiation. Understanding this process is essential for improving laser-based additive manufacturing and sintering of metal matrix nanocomposites (MMNCs), where precise control of heat flow and particle bonding determines the final material quality. The simulations were performed using the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) integrated with the Modified Two-Temperature Model (MTTM). …

Simulated Efficiency Of A Modified Bmw I3 Traction Motor Operating As An Isolated Dc-Dc Converter, Shayne Taylor

Graduate Research Theses & Dissertations

Battery electric vehicles are currently fighting to have any advantage over internal combustion engine powered vehicles to reduce global transportation greenhouse gas emissions. Electric motors are typically deemed as the largest source of loss in many vehicles but have recently become more efficient on average than the AC-DC converter used to charge the vehicle. This paper investigates the potential for a dual three phase electric traction motor based on a BMW i3 electric vehicle traction motor to take the place of an isolated DC-DC converter, an important part of the AC-DC converter. This electric machine in simulations produced a similar …

Sustainable Hemp Industrial Panels (Ship) And Its Industrial Possibilities For The Replacement Of Oriented Strand Board (Osb), Anthony Ollins

Masters Theses

This study explores the feasibility of using industrial hemp fiber to create composite panels—termed Sustainable Hemp Industrial Panels (SHIP) as a potential competitor for oriented strand board (OSB), a commonly used structural wood product. Given hemp's historical and environmental advantages, including rapid growth, carbon sequestration capacity, and material strength, this research investigates its performance when combined with Urea-Formaldehyde (UF) resin, and in a hybrid form with Southern Yellow Pine (SYP). Two hemp-based composites were produced and tested: one with hemp and UF, and another with hemp and SYP. Using a custom-built hydraulic press, composite panels were fabricated and subjected to …

Leveraging Synthetic Data For Efficient Training Of Ai Models For Real-World Object Detection, Reinaldo A. Moraga

Graduate Research Theses & Dissertations

Modern computer vision (CV) systems largely depend on real-world data for training, which is costly in terms of time, materials, and resources. As industries push toward automation and Artificial Intelligence (AI) -driven solutions, the need for enabling more efficient model training is growing. The primary aim of this work is to explore a framework tailored for industrial applications that uses synthetic images generated from 3D models to train a CV model capable of real-world object detection. This approach seeks to reduce the time, cost, and resources typically required for training AI models with real-world data. This work presents a method …

Order Acceptance And Detailed Scheduling In A Make-To-Order Job Shop With Discrete And Batch-Processing Machines, Dheeban Kumar Srinivasan Sampathi

Graduate Research Theses & Dissertations

In today's ever-evolving production landscape, characterized by a growing demand for personalized products to enhance consumer satisfaction, the strategy of pursuing high-mix, low-volume manufacturing has gained importance. More than ever, manufacturers are adopting the Make-To-Order (MTO) approach, aiming to balance efficient cost management by meeting strict customer deadlines. This research explores the complex state of job shop scheduling, a significant challenge faced by manufacturing entities trying to optimize production time and costs while making the best use of their machinery and resources. The primary concern is the dynamic relationship between order acceptance and scheduling within a job shop environment, which …

Identification Of Potential Superconductor Quench Precursors Using Frequency Domain Feature Analysis, Benjamin C. Roehrig

Graduate Research Theses & Dissertations

Superconducting magnets are important pieces of technology in the world of particle accelerators, allowing researchers to study atomic and subatomic phenomena, among other things. In some instances, superconductors can lose this non-resistive property in a phenomenon known as quenching, which can cause damage to the magnets. This potential danger prompts the introduction of systems to predict when a quench is imminent; one such implementation is through the use of acoustic sensors that detect vibrations within the magnet. Within these acoustic sensor signals, significantly above-noise disturbances (referred to as ”events”) can be identified. Our research applies the statistical framework of a …

Material And Mechanical Characterization Of Sla 3d Printed Graphene Nanoplatelet-Based Nanocomposites Fabricated Within A Magnetic Field, Soka Suliman

Graduate Research Theses & Dissertations

The process of utilizing a static magnetic field to fabricate a nanomaterial-based composite via a stereolithography (SLA) 3D printing process is still a relatively new approach within the field of additive manufacturing. By using this magnetic field during the 3D printing process, both material and mechanical properties can be oriented and axially varied for enhanced characteristics. In this investigation, between 0% to 2% volume fractions of high aspect ratio, graphene nanoplatelets (GNP) are suspended within UV-curable resin during a SLA 3D printing process with a static magnetic field applied. The objective of this investigation is to determine the effect of …

Human Swarm Interaction Using Non-Verbal Communication, Arunim Bhattacharya

Graduate Research Theses & Dissertations

This research presents experimentally validated strategies for human-swarm robotic interaction through nonverbal communication. Applications of this work are in large-scale coverage problems that include search and rescue operations and environmental monitoring missions. The non-verbal interaction becomes critical in situations where wireless communication methods may be limited by bandwidth constraints, privacy concerns, or environmental clutter. The research objective of this dissertation is to design and evaluate methods of nonverbal communication between a human teleoperator and robotic swarms towards a bidirectional human-swarm interaction framework. Towards this, we first establish a reliable measure of real-time cognitive load that can serve to close the …

Monte Carlo Modeling Of Spin Polarized Photoemission From Gaas At Low Temperatures And Positive Electron Affinity Surfaces, John Rison Callahan

Graduate Research Theses & Dissertations

Research and development of new photocathode materials are essential to the continuing success and productivity of accelerator technology. High-quality photocathodes characterized by high quantum efficiencies, long lifetimes, low mean transverse energies, and robustness to vacuum environments and operation loads are becoming increasingly essential to the successful operation of the next generation of high brightness accelerator applications. For nuclear and high-energy physics experiments and other applications that rely on spin-polarized electron beams, photocathodes must also demonstrate high electron spin polarizations. The development of state of-the-art spin-polarized photocathodes will require both development of methods to improve the quality of already existing cathode …

Electric Vehicles Historical Sales, Minerals Demand Risks, And Supply Chain Dynamics, Md Saidur Rahman

Electronic Theses and Dissertations

The growing adoption of electric vehicles (EVs) is transforming the automotive industry as governments, businesses, and consumers seek sustainable transportation options. This thesis examines the Electric Vehicles Historical Sales, future demand, key minerals demand risks, focusing on critical supply chain dynamics and sustainability challenges that influence EV production scalability. Specifically, the research explores demand forecasts and resource needs under policy scenarios from the International Energy Agency (IEA): the Stated Policies Scenario (STEPS), Announced Policies Scenario (APS), and Net Zero Emissions by 2050 Scenario (NZES). Key materials analyzed include lithium, cobalt, and nickel, assessing potential bottlenecks in sourcing, refining, and logistics. …

Exploring Facilitators’ Experiences Addressing Students’ Needs In A Higher Education Work-Based Engineering Program, Cody D. Mann

All Graduate Theses, Dissertations, and Other Capstone Projects

This study addresses a critical gap in higher education by examining the unique facilitator position at Iron Range Engineering (IRE), a work-based program at Minnesota State University, Mankato. Facilitators are full-time teaching staff in support roles that focus on helping students achieve positive outcomes, such as students successfully transitioning into working professionals. No formal research has been conducted to explore the comprehensive support and overall implications of this role. This qualitative study focused on phenomenography to capture the different experiences of 12 facilitator participants. Data collection was guided by role theory to explore the expectations and perceptions of facilitators, and …

Laser Based Metal 3d Printer, Inura Goonawardena

All Graduate Theses, Dissertations, and Other Capstone Projects

The technology and applications of additive manufacturing (AM) have advanced significantly in recent years. Research from hobbyist to industrial scale has evolved and has seen advancements in materials that can be utilized for industrial manufacturing. The Institute for Machine Tools and Industrial Management at the Technical University of Munich (TUM) developed the reAM250, an open-source research platform for Powder Bed Fusion with a Laser (LPBF). It was made available to facilitate study into component-level innovation, control techniques, and process monitoring without the budgetary and intellectual property constraints of commercial machines. This paper delves into the concept and production of the …

Climate Variability Study For Arid Regions, Faisal Almutairi

Electronic Theses and Dissertations

Water is the primary source for all living species to thrive, and water scarcity has been a primary concern for biological species and plants in arid regions due to urban planning, population growth, poor water management, and overgrazing. The objective of this research was to study the climate variability in precipitation and temperature for an arid region. This research encompasses two distinct studies. The first study examined the impact of climate variability on precipitation in Phoenix. Precipitation data were acquired from NOAA from 1948 to 2023 and the study was broken down into three time scales: annually, seasonally, and monthly. …

Development Of Food Preservative Hydrogel Using Bioactive Compounds Extracted From Canola Meal, Kayla Christopherson

Electronic Theses and Dissertations

With an ever-growing population comes the need for a greater food supply. Yet land and other agricultural resources put a limit on the availability of food production. As farmers strive to optimize higher produce yields, society must turn to greener, more sustainable food preservation techniques to reduce food spoilage. The inclusion of extracted bioactive compounds found in canola meal into a food preservative hydrogel is such a solution for food spoilage reduction. In this thesis, extraction parameters of glucosinolates were examined along with their inhibition of E. coli DH5αZ1 when incorporated into 2 developed hydrogels: gelatin A Schiff-base and agar-agar. …

Design And Optimization Of The Injection Molding Process Of Glass Fiber Reinforced Polymeric Car Fender Using Computational Simulation, Synthia Ferdouse

Electronic Theses and Dissertations

The increasing demand for lightweight and energy-efficient materials in the automotive industry has accelerated the adoption of fiber-reinforced polymer composites. This research presents the design and optimization of the injection molding process for glass fiber-reinforced polymer (GFRP) car fenders using computational simulation. The effects of various gate types and locations on key process parameters, including fiber orientation, volumetric shrinkage, shear rate, and fill time, were investigated using Finite Element Analysis (FEA), Autodesk Moldflow Insight 2024, and MATLAB-based Multi-Criteria Decision-Making (MCMD) techniques. Simulations were conducted across multiple configurations involving three, four, and five gates, with several variations in location. Among all, …

Biopolymer-Induced Soil Ductility Enhancement: Mitigating The Effects Of Desiccation Cracks, Rabindra Prasad Bohara

Electronic Theses and Dissertations

This study addresses the formidable challenges of expansive clayey soils, notorious for their swelling-shrinkage characteristics, which often lead to ground instability and structural damage. While effective in mitigating soil swell-shrink potential and enhancing strength, traditional calcium-based stabilizers can react with higher sulfate content to form ettringite, causing volumetric changes and infrastructure distress. To assess the impact of stabilizing sulfate-rich soils and determining the various engineering properties, samples of both control and stabilized soils were prepared using lime, biopolymer (guar gum), and lime with guar gum at concentrations of 2% and 4% lime only, 0.5%, 1% and 1.5% guar gum only, …

Improving K-Mean Clustering: A Comparative Study Of Parallelized Version Of Modified K-Mean Algorithm For Clustering Of Satellite Images, Yuv Raj Pant

Electronic Theses and Dissertations

Efficient clustering of high-dimensional satellite image datasets remains a critical challenge, particularly due to the computational demands of spectral distance calculations, random centroid initialization, and sensitivity to outliers in conventional K-Mean algorithms. This study presents a comprehensive comparative analysis of eight parallelized variants of the K-means algorithm, designed to enhance clustering efficiency and reduce computational burden for large-scale satellite image analysis. The proposed parallelized implementations incorporate optimized centroid initialization for better starting point selection, a Dynamic K-mean sharp method to detect the outlier to improve cluster robustness, and a Nearest-Neighbor Iteration Calculation Reduction method to minimize redundant computations. These enhancements …

Development Of A Collagen-Based Bioink For 3d Printing Biomimetic Tendon-To-Bone Tissue Grafts For Rotator Cuff Repair, Samiul Nibir

Electronic Theses and Dissertations

This study presents the development of a collagen-based bioink for 3D printing tendon-to-bone tissue grafts, specifically designed for rotator cuff repair applications. Three different bioink formulations were developed: (i) 5.1% (w/v) collagen I, (ii) 5% (w/v) collagen I and collagen II, and (iii) 4.5% (w/v) collagen I combined with β-TCP. The bioink containing collagen I and collagen II was prepared by mixing the two components in a 1:1 ratio, while the collagen I plus β-TCP formulation was made by incorporating 20 wt % β-TCP into the collagen I solution. These formulations were developed to replicate the natural tendon-to-bone complex interface …