Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons™

Open Access. Powered by Scholars. Published by Universities.®

Theses/Dissertations

Discipline
Institution
Keyword
Publication Year
Publication
File Type

Articles 1681 - 1710 of 77373

Full-Text Articles in Engineering

A Bump Hunting Approach To Finding Interpretable Data Pockets, Tushar Ojha Dec 2025

A Bump Hunting Approach To Finding Interpretable Data Pockets, Tushar Ojha

Electrical and Computer Engineering ETDs

This dissertation approaches the problem of extracting simple interpretations from local regions of data. This is sometimes called bump hunting because the local regions of interest have a high concentration of a particular output value. This work develops a bump hunting method for discrete-valued tabular data where each bump is modeled by a rectangular region of the input data space so its rule-based description admits a simple logical interpretation that can inform decisions. This method is designed for labeled data where each input feature has a distinct meaning that may or may not be related to the output, and the …

Go to article

Recovery Of High Energy-Value Materials From Mine Wastewater, Zainab Nasrullah Dec 2025

Recovery Of High Energy-Value Materials From Mine Wastewater, Zainab Nasrullah

Graduate Theses & Non-Theses

The increasing global demand for high-energy-value materials (HEVM), such as rare earth elements (REEs), copper (Cu), nickel (Ni), cobalt (Co), and lithium (Li), coupled with their limited availability and environmental concerns associated with traditional mining methods, necessitates the development of alternative and sustainable recovery strategies. Wastewater streams from industrial processes, mining operations, and electronic waste treatment represent untapped reservoirs of these valuable materials. Research is proposed to develop sustainable, cost-effective, and scalable methods for selectively recovering HEVM from mine wastewater (Berkeley Pit, Montana). Two innovative approaches, the adsorption process using functionalized adsorbent and solvent extraction (SX) using organic or hydrophobic …

Go to article

Geologic And Geochemical Investigation Of The Ruby Graphite Deposit, Mikayla Taylor Dec 2025

Geologic And Geochemical Investigation Of The Ruby Graphite Deposit, Mikayla Taylor

Graduate Theses & Non-Theses

The Ruby Graphite project (RGP, also known as the Crystal Graphite deposit) is located in the southern Ruby Mountains, Beaverhead County. The deposit contains coarse-grained and highly crystalline graphite, which is a sought-after critical commodity in today’s global economy. The graphite is hosted by high-grade meta-sedimentary and meta-igneous rocks that reached peak metamorphism during the ~ 1.7 Ma Big Sky Orogeny. In this study, samples were collected from outcrops, mine dumps, and new (2023) drill core from the Ground Hog and Bird’s Nest locations. Rock types include calcitic marble, biotite-garnet schist, pegmatite, diopside-rich skarn, altered ultramafic intrusions, and a possible …

Go to article

Development And Evaluation Of Wireless Monitoring Systems For Touchless Respiratory Monitor Validation, Dustin Marquardt Dec 2025

Development And Evaluation Of Wireless Monitoring Systems For Touchless Respiratory Monitor Validation, Dustin Marquardt

Graduate Theses & Non-Theses

The Touchless Respiratory Monitor (TRM) is a non-invasive system that uses contactless methods to measure respiratory rate and tidal volume. The main technologies employed are LiDAR for tidal volume measurement and a thermal camera for respiratory rate monitoring. These novel methods require validation against established techniques such as capnometry and respiratory inductance plethysmography. Commercial respiratory monitoring equipment is often expensive and dependent on proprietary software, creating barriers to widespread use. To address this, a custom, modular, and low-cost evaluation system was developed to streamline the validation of the TRM. The prototype system integrates a pulse oximeter, capnometer, spirometer, and respiratory …

Go to article

Recycling Ndfeb Magnets I: Production Of Ree Fluorides By A Novel Lpc Process, Isaac Joseph Cobbinah Dec 2025

Recycling Ndfeb Magnets I: Production Of Ree Fluorides By A Novel Lpc Process, Isaac Joseph Cobbinah

Graduate Theses & Non-Theses

Neodymium-iron-boron (NdFeB) magnets account for over 60% of global magnet sales and are widely used in high-tech, military, and clean-energy applications (Ormerod, 2022). However, they contain critical rare earth elements such as Nd, Pr, and Dy which poses supply chain and geopolitical risks for country like the United States, which rely extensively on foreign sources. Recycling end-of-life NdFeB magnets provides a sustainable solution that diminishes environmental impact, strengthens supply security, and supports stable domestic production of important rare earth elements. A three-stage process has been developed for recycling the REE-content of NdFeB magnets. While the focus is on neodymium (Nd), …

Go to article

Production Of Rare Earth Elements By Molten-Salt Electrolysis, Mohammed Moro Dec 2025

Production Of Rare Earth Elements By Molten-Salt Electrolysis, Mohammed Moro

Graduate Theses & Non-Theses

Rare earth elements (REEs) are indispensable, high-value resources that play a crucial role in renewable energy, defense systems and advanced technological systems. REEs are commonly extracted from natural ores or recycled materials such as permanent magnets using hydrometallurgical or pyrometallurgical techniques. In hydrometallurgy, the REE source is leached with acid, followed by solvent extraction and precipitation steps to obtain rare earth compounds like oxides and fluorides. Pyrometallurgy involves dissolving rare earth compounds in a molten halide bath, followed by high-temperature electrolysis to convert them into metals, which are then recovered at the cathode. This process typically includes melting, refining, and …

Go to article

Labram Ii Power Equation And Application To Model A Powder System, Layton Bertrand Bahnmiller Dec 2025

Labram Ii Power Equation And Application To Model A Powder System, Layton Bertrand Bahnmiller

Graduate Theses & Non-Theses

This thesis validates equations that predict power input with machine data for the LabRAM II resonant acoustic mixer (RAM), an industrial tool for mixing powders used in advanced manufacturing and other applications. While RAM offers unique advantages such as gentle mixing and adaptability for sensitive or heterogeneous blends, the manufacturer’s power equation lacked published experimental validation. To address this gap, a custom constantvolume calorimeter was designed to directly measure the energy imparted during RAM operation under controlled conditions. Finite element analysis and analytical heat transfer models ensured calorimeter assumptions were valid. Calorimetric experiments revealed that the vendor’s power input equation …

Go to article

A Geological And Geochemical Study Of The Philipsburg Mining District, Granite County, Montana, Celine M. Beaucamp Dec 2025

A Geological And Geochemical Study Of The Philipsburg Mining District, Granite County, Montana, Celine M. Beaucamp

Graduate Theses & Non-Theses

The Philipsburg district, renowned for its rich mining history, has contributed significantly to Montana's mineral production, ranking as the state's second-most productive district. Active from 1865 to the 1980s, it yielded an impressive array of Ag (50-60 million oz), with notable outputs of Au, Zn, Pb, Cu, and battery-grade MnO2. The district features Cordilleran polymetallic veins, some of which are along bedding in Mississippian and Devonian limestone, and others are steeply dipping quartz veins in silicate-rich sedimentary rocks and in the Philipsburg batholith. The veins exhibit a district-wide mineral zonation, marked by Cu- and Ag-rich ores near granite porphyries, with …

Go to article

Aqueous Geochemistry Drives Microbial Cu, Fe, And Zn Uptake Rates In Yellowstone, A Continental Hydrothermal System, Eva Carolina Andrade-Barahona Dec 2025

Aqueous Geochemistry Drives Microbial Cu, Fe, And Zn Uptake Rates In Yellowstone, A Continental Hydrothermal System, Eva Carolina Andrade-Barahona

Graduate Theses & Non-Theses

Microbial uptake of trace metal cofactors such as copper (Cu), iron (Fe), and zinc (Zn) is governed by biogeochemical processes in hydrothermal systems where metal bioavailability varies widely. In situ microbial metal uptake rates were quantified by applying metal stable isotope probing (MSIP) in the Yellowstone hydrothermal system across diverse geochemical conditions in hydrothermal springs. The findings in these studies revealed that pH exerts a dominant influence on microbial copper uptake rate, also enhanced by increased Cu²⁺ ion availability and dissolved oxygen. Microbial iron uptake, in contrast, displayed a broad tolerance to environmental variability, occurring across a pH range of …

Go to article

Drinking Water Treatment Using Microbial Cellulose Membranes, Benjamin Schreiber Dec 2025

Drinking Water Treatment Using Microbial Cellulose Membranes, Benjamin Schreiber

Graduate Theses & Non-Theses

Access to clean drinking water is a global concern. Existing water filtration technologies require high energy and chemical inputs. They generate a large volume of waste and are not always readily available. This limitation has given rise to the development of sustainable water filtration technologies. This study focused on developing a biodegradable Microbial Cellulose Membrane (MCM) made of bacterial cellulose that is capable of treating a wide variety of pollutants present in environmental water sources. To improve MCM properties for high flux and contaminants removal, they were pre-treated with NaOH (0.25 M). The effect of transmembrane pressure and membrane thickness …

Go to article

Process Intensification For Rare Earth Elements Adsorption By Resonant Vibratory Mixing (Rvm), Mehran Saddat Dec 2025

Process Intensification For Rare Earth Elements Adsorption By Resonant Vibratory Mixing (Rvm), Mehran Saddat

Graduate Theses & Non-Theses

Rare earth elements (REE) are crucial to the advancement of modern technologies. REE applications include electronics, defense systems, wind turbines, catalysts, magnets, and aircraft. Bastnasite, monazite, and xenotime are the primary resources, while the secondary resources, including coal ash, E-waste, and acid mine drainage, are for REE extraction. The primary processing techniques are chemical leaching, ion exchange, chemical precipitation, pyrometallurgy, solvent exchange, biosorption, and adsorption. Adsorption technique is simple, cost-effective, and environmentally friendly, with higher efficiency but at the cost of a longer mixing time. Therefore, there is a pressing need for an optimized mixing technique to improve the adsorption …

Go to article

Use Of Mid-Infrared Spectroscopy For Estimating Soil Chemical, Physical, And Hydrological Properties In Mississippi And Texas, Kanthake Yasas Bandara Gamagedara Dec 2025

Use Of Mid-Infrared Spectroscopy For Estimating Soil Chemical, Physical, And Hydrological Properties In Mississippi And Texas, Kanthake Yasas Bandara Gamagedara

Theses and Dissertations

Accurate and efficient estimation of soil properties is essential for advancing sustainable agriculture, water management, and soil survey applications. Traditional laboratory methods and pedotransfer functions (PTFs) are widely used but are often constrained by high costs, time requirements, and limited scalability. As an alternative, mid-infrared (MIR) and visible–near-infrared (vis–NIR) spectroscopy provide cost-effective, rapid, and non-destructive approaches for soil analysis. However, variability among spectrometer types, geographic regions, and soil scanning conditions poses challenges to model transferability and generalizability. This dissertation evaluated strategies to overcome these challenges and enhance the prediction of soil chemical, physical, and hydrological properties in Mississippi and Texas. …

Go to article

A New Model For Predicting Two-Zone Parameters Based On Geometric Modifications In Computational Fluid Dynamics Simulations, Jason B. Metten Dec 2025

A New Model For Predicting Two-Zone Parameters Based On Geometric Modifications In Computational Fluid Dynamics Simulations, Jason B. Metten

Theses and Dissertations

This study uses Computational Fluid Dynamics (CFD) to create a new and improved model for key Two-Zone modeling parameters, 𝜒 and 𝛿2𝑝. It explores how geometric changes to centrifugal compressors impact these modeling parameters. While centrifugal impellers are an important part of many systems, the flow through such impellers is inherently complex, making performance often difficult to predict. There are many approaches for modeling this complex flow environment, one method being the Two-Zone model developed by Dave Japikse. Values for 𝜒 and 𝛿2𝑝 are often determined from data obtained from test rigs or correlations. In this study high-fidelity CFD simulations …

Go to article

Study Of Isocyanate-Free Vegetable Oil-Based Polyurethane Coating With A Silicon-Based Compound For Coating Properties, Ajay Kumar Dec 2025

Study Of Isocyanate-Free Vegetable Oil-Based Polyurethane Coating With A Silicon-Based Compound For Coating Properties, Ajay Kumar

Electronic Theses & Dissertations

The development of sustainable and environmentally friendly polyurethane coatings has garnered significant attention in recent years. This research focuses on the development of isocyanate-free coatings derived from carbonated soybean oil (CSBO) using a solvent- and catalyst-free approach. The coatings were synthesized by reacting CSBO with ethylenediamine (EDA) and varying weight percentages of 3-aminopropyltriethoxysilane (APTES), which were added to enhance the coating property, as it contains silicon in it, to evaluate their mechanical and thermal properties. Fourier Transform Infrared Spectroscopy (FTIR) confirmed the successful formation of urethane linkages, with a significant reduction in C=O peak intensity after 10 days of curing, …

Go to article

Development And Validation Of A Machine-Learned Actuator Line Model For Rotors, Joshua L. Bowman Dec 2025

Development And Validation Of A Machine-Learned Actuator Line Model For Rotors, Joshua L. Bowman

Theses and Dissertations

This dissertation develops and validates a machine‑learned (ML) actuator line model (ALM) as an advancement in rotor modeling that can be applied to diverse engineering applications. The model addresses two standard ALM limitations: dependence on pre‑tabulated lift and drag coefficients and the inability to represent unsteady inflow. The ML‑ALM is trained on a hydrokinetic blade‑resolved simulation database of blade‑element forces under unsteady conditions, and is queried at run time to supply axial, tangential, and spanwise forcing at each actuator element. Validation covers solitary rotor performance and wake predictions against experimental data, and verification in an inline configuration against blade‑resolved simulations …

Go to article

Electrospun Nanofiber Creation With Varying Polymer-Solvent Combinations For Air Filtration, Lancaster Jace Hill Dec 2025

Electrospun Nanofiber Creation With Varying Polymer-Solvent Combinations For Air Filtration, Lancaster Jace Hill

Theses and Dissertations

This study aims to analyze various polymer-solvent combinations for electrospun creation of nanofiber media and to determine the best-suited solution for lab-grade electrospinning. Suitable solutions allow for controlled morphology of fiber diameters and for efficiency of media creation. The principal variables are solvent, concentration, and voltage. Humidity and temperature play a secondary variable role. The solution must withstand an electric field of ≤30 kV and be insoluble in water to maintain desired morphology and structure. Manipulation of the solutions and variables allow for fiber diameter optimization and beading minimization. High temperature filter applications require efficiency in intense heat and preservation …

Go to article

Novel Experimental Techniques For Pressure Transients, Luliang Zhang Dec 2025

Novel Experimental Techniques For Pressure Transients, Luliang Zhang

Theses and Dissertations

This dissertation introduces novel experimental techniques for analyzing pressure transients, focusing on dynamic strain and pressure measurements to advance the understanding and application of Pulse Pressure Amplification in percussive devices. The research evaluates a high-speed linescan extensometer utilizing linescan Digital Image Correlation (DIC) on a Kolsky Bar to obtain strain data at high strain rates. This data is critical for accurate material characterization and simulations to model dynamic behavior. Additionally, a novel method for measuring dynamic pressure waves in pipe systems has been developed, enabling direct assessments of pressure amplification in devices such as tapered pipe systems. The findings contribute …

Go to article

Lecun-Pso Hybrid Initialization Of Neural Network Using Asymmetric Gait Features For Classification Of Parkinson’S Disease, Michael Joseph Carter Dec 2025

Lecun-Pso Hybrid Initialization Of Neural Network Using Asymmetric Gait Features For Classification Of Parkinson’S Disease, Michael Joseph Carter

Theses and Dissertations

Parkinson's disease (PD) is a complex condition with a wide range of clinical symptoms. It is a progressive neurological disorder that has afflicted an estimated 1 million people in the US and 10 million worldwide. The diagnosis of PD is typically based on the presence of clinical features, with no specific diagnostic test or biomarker. The methods of assessment for PD are also used, in whole or in part, for similar symptom diseases such as Multiple Sclerosis, Essential Tremors, Multiple System Atrophy, Supranuclear Palsy, Dementia with Lewy bodies and Huntington’s disease. Many of the current clinical tests have low sensitivity …

Go to article

Physics-Informed Neural Network For Maximum Detectable Distance Estimation In Mobile Gamma Spectrometry, Nancy A. Ibrahim Dec 2025

Physics-Informed Neural Network For Maximum Detectable Distance Estimation In Mobile Gamma Spectrometry, Nancy A. Ibrahim

Theses and Dissertations

Accurate estimation of the Maximum Detectable Distance (MDD) is critical for environmental remediation, nuclear incident response, and public safety. Conventional approaches assume stationary detectors and rely on computationally intensive simulations, limiting their applicability for mobile, real-time surveys. Mobile gamma spectrometry introduces additional complexities due to detector motion, variable acquisition times, and heterogeneous backgrounds. This study addresses the central question of how effectively a Physics-Informed Neural Network (PINN) can estimate MDD for mobile gamma spectrometry, while maintaining both accuracy and computational efficiency under dynamically changing environmental conditions. A multi-phase approach was employed, combining field data collection, computational modeling, and operational tool …

Go to article

Leveraging Google Earth Engine For Computationally Efficient Pixel-Level Analysis And Vector Delineation From Satellite Data., Rishita Garg Dec 2025

Leveraging Google Earth Engine For Computationally Efficient Pixel-Level Analysis And Vector Delineation From Satellite Data., Rishita Garg

Theses and Dissertations

Analyzing large-scale, high-resolution satellite imagery is a computationally intensive task requiring time and computing resources. This can be accelerated using cloud computing platforms such as Google Earth Engine (GEE) where computational and storage requirements can be scaled based on demand. However, cloud-based platforms for processing high-resolution imagery remain underutilized in environmental applications such as agriculture, and forest health. This thesis explored the application of GEE to two geospatial problems in agricultural conservation and disease mapping in forestry: 1) Extraction of agricultural field boundaries from Sentinel-2 satellite imagery, for use in conservation, precision agriculture, land management, and organization, etc., and 2) …

Go to article

Study On Vehicle-Pedestrian Interaction Autonomy By Risk Potential Theory, Riku Kikuta Dec 2025

Study On Vehicle-Pedestrian Interaction Autonomy By Risk Potential Theory, Riku Kikuta

Theses and Dissertations

Vehicle–pedestrian interaction is a critical aspect of autonomous vehicle (AV) development, as socially acceptable AVs must account for pedestrian intention and behavior. Risk Potential (RP) theory provides a framework to build human-like AVs by modeling expert driver risk perception, but conventional RP models treat pedestrians as static obstacles and neglect their dynamics. This dissertation extends RP theory by incorporating pedestrian velocity and orientation into three new models: the RP velocity model, the RP related-velocity model, and the RP Pedestrian Potential Position (PPP) model. These models were implemented in the Navigating All Terrains Using Robotic Exploration (NATURE) autonomy stack and tested …

Go to article

A Case Study On Redesigning Classroom Activities And Assessments For Generation Z Students, Sushma Shrinivasan Dec 2025

A Case Study On Redesigning Classroom Activities And Assessments For Generation Z Students, Sushma Shrinivasan

Theses and Dissertations

This dissertation investigates the dynamic interplay between pedagogical strategies, learner diversity, and emerging educational technologies through three interconnected studies. Study 1 compares Traditional instruction, Problem-Based Learning (PBL), and Simulation-Based Learning (SBL), revealing that while PBL and SBL enhance student performance—particularly PBL—their impact on perceived learning varies. Notably, SBL reduced perceived learning despite strong outcomes, underscoring the affective and metacognitive complexities of active learning. Study 2 examines the role of demographic factors such as gender, ethnicity, employment, and first-generation status, finding no significant main effects but identifying a key two-way and three-way interactions, suggesting that instructional effectiveness is influenced by the …

Go to article

Integrated Experimental, Numerical, And Machine-Learning Framework For The Analysis Of Spray Dynamics In Diesel And Gasoline Direct-Injection (Gdi) Engines, Yassine El Marnissi Dec 2025

Integrated Experimental, Numerical, And Machine-Learning Framework For The Analysis Of Spray Dynamics In Diesel And Gasoline Direct-Injection (Gdi) Engines, Yassine El Marnissi

Theses and Dissertations

The regulation of diesel and gasoline direct injection (GDI) during cold starts has become subject to stricter numerical limits by both the Environmental Protection Agency (EPA) in the US and the European Commission (EC). For diesel engines, the EPA’s Clean Trucks Plan (Model Year 2027+) sets a certification NOₓ limit of 0.035 g/bhp-hr and an in-use fleet average limit of 0.050 g/bhp-hr, along with a PM limit of 0.005 g/bhp-hr, representing an 82.5% reduction in NOₓ compared to the former 0.2 g/bhp-hr standard. For gasoline engines, US standards regulate cold-start pollutants such as hydrocarbons (HC) ranging from 0.03 to 0.08 …

Go to article

Dem Simulations For Tractive Performance Of Rigid Wheel In Granular Media, Aidan Noah Dickerson Dec 2025

Dem Simulations For Tractive Performance Of Rigid Wheel In Granular Media, Aidan Noah Dickerson

Theses and Dissertations

Accurately predicting vehicle mobility in granular media is essential for evaluating off-road mobility in agriculture, defense, and planetary exploration. Traditional empirical models often fail in capturing complex micromechanics of soil deformation, especially under dynamic conditions such as high slips and maneuvering. This study demonstrates the value of the discrete element method (DEM) in modeling wheel-soil interactions with higher fidelity. Using Altair EDEM and pre-calibrated GEMM materials, simulations were conducted for a range of forward (-5.9% to 54.8%) and side slip angles (3°, 6°, 12°) in dry sand. DEM enabled detailed analysis of sinkage, traction forces, and lateral loads, revealing trends …

Go to article

Quantifying Benefits Of Biochar With Variable Absorption Capacity As A Partial Cement Replacement In Concrete, Benjamin Shannon Dec 2025

Quantifying Benefits Of Biochar With Variable Absorption Capacity As A Partial Cement Replacement In Concrete, Benjamin Shannon

Theses and Dissertations

Extensive research has been conducted on biochar-incorporated concrete. However, no concrete mixture design guideline is currently available for implementing biochar incorporation in practice. The objective of this study was to correlate biochar absorption capacity with the compressive strength of biochar-incorporated concrete, to quantify the benefits of biochar and develop mix design guidelines. Biochar with varying absorption capacities was incorporated into concrete at 10%, 20%, and 40%. Strength and moisture loss were recorded over the 90-day curing period of the biochar-incorporated concrete. Results revealed three main findings: (1) in 10%, 20%, and 40% biochar mixes, the normalized strengths ranged from 0.65–0.85, …

Go to article

Evaluating Three Lightweight Airfield Matting Systems Under F-35b Aircraft Loading, Brett D. Cobb Dec 2025

Evaluating Three Lightweight Airfield Matting Systems Under F-35b Aircraft Loading, Brett D. Cobb

Theses and Dissertations

Aircraft matting has been in service since WWII. It has provided a maneuverable substrate to allow aircraft forward operations to take place in austere environments. AM2 is the main matting system that has been used for generations. In recent years, the need for a lightweight matting system has come to the forefront of the matting community. This is not only to improve the maneuverability, but also the shipping restrictions. This research is on three different light weight matting systems above subgrade with two CBR values (i.e., 6 and 25). A specially designed load cart was adopted to simulate F-35B loading. …

Go to article

Analysis Of Trends From Mass Concrete Case Studies, Bradford Songer Dec 2025

Analysis Of Trends From Mass Concrete Case Studies, Bradford Songer

Theses and Dissertations

While conventional mass concrete is well understood, high strength and ultra high performance concrete present unique challenges when placed in large volumes. This thesis compiles and analyzes thermal data from mass high strength and ultra high performance concrete placements collected over the past eight years by the U.S. Army Corps of Engineers in support of military construction projects. The datasets span a wide range of material types and volumes. The analysis identifies trends in temperature development, temperature differentials, and the influence of mixture constituents on heat generation. This thesis contributes to the improved understanding of thermal behavior in mass concrete. …

Go to article

Exploring The Impact Of Incorporating Artificial Intelligence Integrated Systems In The Workplace, Catherine Cruz Agosto Noda Dec 2025

Exploring The Impact Of Incorporating Artificial Intelligence Integrated Systems In The Workplace, Catherine Cruz Agosto Noda

Theses and Dissertations

This study focuses on assessing the impact of incorporating systems integrated with in the workplace by assessing the constructs of usability, cognitive load, and trust. The constructs are assessed by generation and experience level to determine which factors are relevant in a workplace setting. A workplace scenario was simulated by asking participants to complete tasks where they assumed the role of a warehouse manager assigned with assessing two scheduling systems – one with artificial intelligence and one without artificial intelligence. The participants were presented with three tasks of increasing difficulty for each prototype. Both quantitative and qualitative measures were used …

Go to article

Optimizing Military Fighter Jet Selection: A Decision Analysis Approach For Nuclear-Capable Aircraft, Eni Kelechi Ofong Dec 2025

Optimizing Military Fighter Jet Selection: A Decision Analysis Approach For Nuclear-Capable Aircraft, Eni Kelechi Ofong

Theses and Dissertations

This research investigates the strategic decision-making process involved in selecting a nuclear-capable fighter aircraft for NATO (North Atlantic Treaty Organization) nations in Europe. In adaptation to the continuously changing technology landscape and the necessity for enhanced deterrence capabilities, this study evaluates three potential aircraft: the legacy Panavia Tornado (PA-200), the widely deployed F-16 Fighting Falcon (F-16), and the advanced F-35 Lightning II (F-35). Each platform presents distinct advantages and limitations regarding operational performance, mission adaptability, cost-effectiveness, and long-term sustainability. To systematically assess these alternatives, the study employs various decision analysis frameworks, including Multi-Criteria Decision Analysis (MCDA), single dimensional value function …

Go to article

Considerations For Cottonseed Oil As A Feedstock For Renewable Fuels, John Elmore Dec 2025

Considerations For Cottonseed Oil As A Feedstock For Renewable Fuels, John Elmore

Theses and Dissertations

As the world population grows and the standard of living improves in developing countries, global energy demand will continue to rise, with energy use in the developing world expected to increase dramatically more than the per capita reductions in developed countries from efficiency improvements. Nearly a third of the total global energy demand is used for transportation, resulting in a substantial contribution to greenhouse gas (GHG) emissions. While the demand for energy rises, initiatives and regulations are underway to mitigate the amount of GHG emissions to Earth’s atmosphere. As efforts progress in industry, governments, and society to reduce the total …

Go to article

First Prev Next Last