Engineering Commons^™

Orbit Determination Demonstration Using Onboard One-Way Radiometrics From The Iris Radio On The Capstone Mission, Todd A. Ely, Anthony Zara, Dana Sorensen, Zaid J. Towfic, Connor Ott, Alec Forsman, John D. Baker

Space Dynamics Laboratory Publications

Onboard one-way radiometric tracking from an Iris Radio paired with a Chip Scale Atomic Clock (CSAC) on NASA’s CAPSTONE mission has been collected and demonstrated to be able to determine its near rectilinear halo orbit. This is a first-ever demonstration of one-way radiometric tracking originating from the DSN and being collected onboard a spacecraft. For CAPSTONE, the tracking data from the Iris/CSAC pair are shown to have sufficient accuracy to enable future autonomous radio navigation for missions with modest navigation requirements. This work will compare the space-based data with prior ground-based test results, as well as assess CAPSTONE’s orbit solution …

Target Size Estimation Through Sensor Fusion, Morgan Davidson, Cory Brinck, Kori Moore, Tanner Chase

Space Dynamics Laboratory Publications

Target size is an important quantity in both classification and multi-sensor target tracking applications, but it is often an unknown. In some imaging applications, target size is assumed based on classification results. This assumed size is sometimes used in the synthesis of range measurements from monocular imagery, based on the apparent target size that is observed. Range-from-apparent-size measurements may be the only range measurements available during times when sensors that produce range information (such as radar) are not available. This range-from-apparent-size approach is typically plagued by range bias in the resulting measurements due to several factors. In this work, we …

Advancements And Challenges In Additively Manufactured Functionally Graded Materials: A Comprehensive Review, Suhas Alkunte, Ismail Fidan, Vivekanand Naikwadi, Shamil Gudavasov, Mohammad Alshaikh Ali, Mushfig Mahmudov, Seymur Hasanov, Muralimohan Cheepu

Engineering Technology Faculty Publications

This paper thoroughly examines the advancements and challenges in the field of additively manufactured Functionally Graded Materials (FGMs). It delves into conceptual approaches for FGM design, various manufacturing techniques, and the materials employed in their fabrication using additive manufacturing (AM) technologies. This paper explores the applications of FGMs in diverse fields, including structural engineering, automotive, biomedical engineering, soft robotics, electronics, 4D printing, and metamaterials. Critical issues and challenges associated with FGMs are meticulously analyzed, addressing concerns related to production and performance. Moreover, this paper forecasts future trends in FGM development, highlighting potential impacts on diverse industries. The concluding section summarizes …

Energy Efficiency In Additive Manufacturing: Condensed Review, Ismail Fidan, Vivekanand Naikwadi, Suhas Alkunte, Roshan Mishra, Khalid Tantawi

Engineering Technology Faculty Publications

Today, it is significant that the use of additive manufacturing (AM) has growing in almost every aspect of the daily life. A high number of sectors are adapting and implementing this revolutionary production technology in their domain to increase production volumes, reduce the cost of production, fabricate light weight and complex parts in a short period of time, and respond to the manufacturing needs of customers. It is clear that the AM technologies consume energy to complete the production tasks of each part. Therefore, it is imperative to know the impact of energy efficiency in order to economically and properly …

Ground Tire Rubber As A Sustainable Additive: Transforming Desert Sand Behavior, Nabil Ismael, Dalya Ismael, Asmaa Al-Ahmad

Engineering Technology Faculty Publications

Managing waste tires presents a significant challenge globally, particularly in regions experiencing high temperatures and shortage of landfill sites. This issue is affecting countries like Kuwait, where the abundance of waste tires is a major source of environmental and safety risks, particularly during the intensely hot summer months. This extreme heat has sparked numerous fires, leading to substantial air pollution due to thick black smoke. Given the limited disposal options, recycling waste tires and finding practical applications for ground tire rubber (GTR) is essential. To address the challenge, a comprehensive laboratory testing program was conducted, using locally produced rubber aggregates …

Immersive Visualization In Infrastructure Planning: Enhancing Long-Term Resilience And Sustainability, Dalya Ismael

Engineering Technology Faculty Publications

Infrastructure decisions today significantly impact future generations' quality of life, especially as severe storms and rising sea levels increasingly threaten communities across the United States. Decision-makers at all levels, including those involved in disaster prevention and response, must address climate change. However, those in infrastructure design and construction often prioritize immediate gains over long-term resilience. Engineering teams typically employ decision tools to manage complexity, but these methods may not highlight the long-term consequences of their choices. This study tests whether integrating Virtual Reality (VR) technology with engineering decision-making tools, can enhance engineers’ ability to visualize the future impacts of their …

Uncertainty Quantification In Large Language Models Through Convex Hull Analysis, Ferhat Ozgur Catak, Murat Kuzlu

Engineering Technology Faculty Publications

Uncertainty quantification approaches have been more critical in large language models (LLMs), particularly high-risk applications requiring reliable outputs. However, traditional methods for uncertainty quantification, such as probabilistic models and ensemble techniques, face challenges when applied to the complex and high-dimensional nature of LLM-generated outputs. This study proposes a novel geometric approach to uncertainty quantification using convex hull analysis. The proposed method leverages the spatial properties of response embeddings to measure the dispersion and variability of model outputs. The prompts are categorized into three types, i.e., ’easy’, ’moderate’, and ’confusing’, to generate multiple responses using different LLMs at varying temperature settings. …

Long-Term Impact Of A Semester-Long Multidisciplinary Service-Learning Assignment In A Fluid Mechanics Course, Orlando M. Ayala, Kristie Gutierrez, Isaac Koduah Kumi, Francisco Cima, Stacie I. Ringleb, Krishnanand Kaipa, Danielle M. Rhemer, Pilar Pazos, Jennifer Jill Kidd

Engineering Technology Faculty Publications

Seventy-three students who enrolled in a senior-year level fluid mechanics course during spring semesters from 2019-2023 were asked about their perceptions on the impact in their professional preparation of a semester-long multidisciplinary service-learning assignment. This paper aims to evaluate their current perceived impact of the assignment (long-term impact) and whether it might have changed from when they took the course (short-term impact). The project tested their creativity, knowledge of fluid mechanics concepts, and skills to work with people from other disciplines. They were told that they were working for a hypothetical company, “Engineering is for all,” and were assigned to …

Federated Learning: Overview, Strategies, Applications, Tools And Future Directions, Betul Yurdem, Murat Kuzlu, Mehmet Kemal Gullu, Maliha Tabassum

Engineering Technology Faculty Publications

Federated learning (FL) is a distributed machine learning process, which allows multiple nodes to work together to train a shared model without exchanging raw data. It offers several key advantages, such as data privacy, security, efficiency, and scalability, by keeping data local and only exchanging model updates through the communication network. This review paper provides a comprehensive overview of federated learning, including its principles, strategies, applications, and tools along with opportunities, challenges, and future research directions. The findings of this paper emphasize that federated learning strategies can significantly help overcome privacy and confidentiality concerns, particularly for high-risk applications.

Four Decades Of Distance Learning Instruction In An Electrical Engineering Technology Program, Otilia Popescu, Isaac L. Flory Iv, John R. Hackworth, Murat Kuzlu

Engineering Technology Faculty Publications

Online instruction is no longer a new or seldom used modality. It has grown over the last few decades, reaching a pinnacle during the recent pandemic. Different institutions and different programs chose different approaches for the online delivery of courses, adopting either synchronous or asynchronous deliveries for online students, and hybrid delivery for mixed groups of campus and online students attending the classes in a live or synchronous manner. This paper’s main goal is to present the history of over 40 years of distance learning in an Electrical Engineering Technology program and how the delivery mode progressed over time. While …

Advancing The Manufacturing Engineering Technology Pathway: Innovating And Developing The Curriculum (Courses And Labs) From Associate To Bachelor's Level, Afi Anuar, Vukica Jovanovic, Nathan Luetke, Hamid Eisazadeh, Isaac Flory Iv, Mileta Tomović, Anthony W. Dean

Engineering Technology Faculty Publications

The southeastern region of Virginia, specifically Hampton Roads, has a diverse manufacturing landscape encompassing a range of enterprises, from small businesses to large corporations. This sector includes shipbuilding, construction machinery, aeronautics, and food processing. However, both the region and the broader state of Virginia are struggling with a skilled labor shortage that fails to meet the demands of these manufacturing enterprises. This paper aims to provide insights into the recently established Manufacturing Engineering Technology (MFET) program at Old Dominion University, located in Norfolk, Virginia. The MFET program features a comprehensive curriculum, encompassing the development of new courses and the establishment …

A Project-Based Learning Activity For An Engineering Technology Heat Transfer Course To Design A Shell-And-Tube Heat Exchanger, Nathan Luetke, Orlando Ayala

Engineering Technology Faculty Publications

Thermofluids courses demand a strong grasp of mathematics and employ physics extensively to describe physical systems. Heat transfer, in particular, presents challenging topics, which can be even more daunting for engineering technology students. In this paper, we present the implementation of a project-based learning activity in the engineering technology heat transfer course. The students' task involves designing a shell-and-tube heat exchanger to meet specific minimum requirements. The objective is to provide students with a real-world assignment that enhances their heat transfer calculation skills. To accommodate instructors' busy schedules, we have developed an assignment that is user friendly. Detailed instructor guides …

Re-Envisioning Electric Railway Power Systems In Dense Urban Regions, Rohama Ahmad

Dissertations and Theses

Grid decarbonization and modernization are key requisites to combat global warming. Decarbonization entails the deployment of renewable energy sources, improving the energy efficiency of major consumers, and the electrification of the transportation and building sectors. Various US states and cities have pledged to reduce greenhouse gas (GHG) emissions (e.g., the Climate Leadership and Community Protection Act (CLCPA) in New York aims to reduce emissions to 40% below 1990 levels by 2030 and then to 85% below 1990 levels by 2050) via a set of targets in terms of renewable energy, energy storage system (ESS) capacity, and the number of electric …

Actuator Optimization And Control Of Pediatric Knee Exoskeleton For Community-Based Mobility Assistance: More Lightweight, More Affordable, And More Stable, Sainan Zhang

Dissertations and Theses

Lightweight and smart exoskeletons offer the potential to improve mobility in children. State-of-the-art pediatric exoskeletons are typically clinic-based since they are either tethered or portable but cumbersome, and their design is often not optimized across a range of environments and users. Child growth progressively alters key exoskeleton design requirements, yet no prior work investigated actuator optimization to accommodate child growth. Moreover, exoskeletons typically use the torque sensor or spring mechanics as exteroceptive feedback, but these torque sensing methods not only lead to extra cost and mass but also cause a small range of stable controller gains.

To facilitate pediatric exoskeleton …

Molecular Origins Of Phase Stability In Phase-Change Nano-Emulsions For Thermal Energy Storage By Nmr Spectroscopy, Jungeun Park

Dissertations and Theses

Phase change materials (PCMs) are latent heat storage materials that can store or release thermal energy during phase transitions. Organic PCM nano-emulsions are formed by emulsifying oil in water in the presence of surfactants, enhancing thermal conductivity and pumpability. However, PCMs nano-emulsions can become unstable due to repeated thermal cycling and shear in heat transfer systems.

To better understand the molecular origins of phase instability in PCMs nano-emulsions, liquid-state nuclear magnetic resonance (NMR) measurements were applied to a model PCM nano-emulsion. Quantitative ¹H single-pulse NMR measurements established the liquid fraction of oil within nano-emulsions as a function of temperature, …

Mechanisms For Regenerative Intervertebral Disc Healing During Early Growth In Mice, Danielle N. D'Erminio

Dissertations and Theses

Annulus Fibrosus (AF) defects of intervertebral discs (IVDs) cause painful disability, for example when herniated tissue compresses against adjacent nerves. Discectomy, the current standard of treatment to address herniation, does not repair AF defects and can result in re-herniation and recurrent pain. As such there is a need for improved AF repair strategies. It has previously been established that neonatal mice functionally regenerate following severe AF injury providing a model of successful innate AF repair processes that contrasts the poor healing of adult mice. This dissertation focuses on identifying mechanisms of AF regenerative healing in neonatal mice subjected to severe …

Understand The Structure-Water-Responsive Relationship By Engineering Silk Materials, Yeojin Jung

Dissertations and Theses

Water-responsive (WR) materials mechanically swell and shrink in response to changes in relative humidity, and they have demonstrated the capability to exert higher actuation energy than conventional actuators and artificial muscles. As a result, WR materials have recently gained attention as potential high-energy actuating components for engineering applications. Despite the growing interest in this emerging category of WR materials, the fundamental WR mechanism of their significant performance is still not fully understood, limiting the ability to rationally design engineered systems. This dissertation presents three approaches for understanding the water-responsiveness of materials by engineering Bombyx (B.) mori silkworm silk protein. First, …

Mechanism Design For Optimizing On-Chain Sell Order In Market Without Market Maker, Nico Pei

CMC Senior Theses

The absence of market makers alters the microstructure of the market. It’s difficult to get exposed to time-weighted prices in markets without market makers. In this paper, we delve into three mechanism designs – discrete gradual dutch auction, continuous gradual dutch auction, and variable rate gradual dutch auction – to study how to execute time-weighted sell orders on blockchain in a market without market makers. To make it simpler for readers to understand, we imagine an example of helping a close friend of Picasso to sell his 100 Picasso paintings in the next 10 years since 1970, with the private …

Towards Algorithmic Justice: Human Centered Approaches To Artificial Intelligence Design To Support Fairness And Mitigate Bias In The Financial Services Sector, Jihyun Kim

CMC Senior Theses

Artificial Intelligence (AI) has positively transformed the Financial services sector but also introduced AI biases against protected groups, amplifying existing prejudices against marginalized communities. The financial decisions made by biased algorithms could cause life-changing ramifications in applications such as lending and credit scoring. Human Centered AI (HCAI) is an emerging concept where AI systems seek to augment, not replace human abilities while preserving human control to ensure transparency, equity and privacy. The evolving field of HCAI shares a common ground with and can be enhanced by the Human Centered Design principles in that they both put humans, the user, at …

Datum–Wise Learning And Inference For Supervised Classification, Sachini Piyoni Ekanayake Ekanayake Mudiyanselage

Electronic Theses & Dissertations (2024 - present)

Traditional supervised classification typically involves assigning a label to a single variable, considering a common subset of features for all the instances, and employing a single classifier. However, in many real–world applications like behavioral analysis or insurance recommendation, a data instance is described by a set of related variables such as physical activity and emotion, or driving quality and accident severity. At the same time, these variables are not directly observable but can be inferred via noisy but costly features. Specifically, access to all features is prohibitive due to cost, invasiveness, or limited resources. Finally, while using a single classifier …

Information Access For Infrastructurally-Challenged Environments And Beyond Through Mutually Aware Spectrum Sharing Technologies, Karyn Doke

Electronic Theses & Dissertations (2024 - present)

The Radio Frequency (RF) spectrum is scarce and to make it available for new mobile wireless services, regulators are forced to re-allocate spectrum from existing services or develop mechanisms to share spectrum with new entries. Television White Space (TVWS) and Citizen Broadband Radio Service (CBRS) are two examples of recently commercialized spectrum sharing technologies. TVWS enables sharing among fixed wireless broadband technologies (secondary users) and terrestrial TV broadcast services (primary users). CBRS enables spectrum sharing among 5G/LTE (secondary users) and naval radar (primary users). With both technologies, a central database determines when it is safe for secondary users to operate …

A 3d Co-Culture Model Of Senescent Cell Burden And Salivary Gland Fibrosis, Stephen Rose

Electronic Theses & Dissertations (2024 - present)

Patients with head and neck cancer often suffer collateral radiation damage to the salivary glands, leading to fibrosis. Histological examinations indicate that radiation encourages fibrosis by promoting cellular changes leading to both senescent and myofibroblast phenotypes, coupled with a significant loss of regenerative and acinar cells. Chronic hypofunction remains a primary concern, even with modified radiation approaches to sparing salivary glands. Current treatments primarily offer symptomatic relief without rectifying irreversible glandular tissue damage. This limitation arises, in part, from a deficiency in predictive preclinical models to study this multifaceted problem.

We introduce a 3D in vitro microtissue model to address …

Evaluation Of The Physicochemical Properties And Soil Biogeochemistry Of Fire Residues, Lingqun Zeng

Electronic Theses & Dissertations (2024 - present)

Wildland fire is a main driving force in the Earth system and affects ecosystem properties and processes across spatio-temporal scales. The burning of biomass and production of solid fire residues (conventionally termed fire ash) that are a mixture of completely and incompletely burned materials (inorganic ash and pyrogenic carbon), represent the direct and prominent changes by fires. Cycling of the fire residues is an integral component of elemental cycles and can mediate other biogeochemical processes.

This dissertation aims to fill important knowledge gaps in understanding the disturbance of wildland fires to biogeochemical processes in soils. First, this work characterized and …

The Effect Of Nanoconfined Liquid Properties On The Water-Responsive Behavior Of Bacterial Cell Walls, Seungri Kim

Dissertations and Theses

Water-responsive (WR) materials have the ability to mechanically swell and shrink in response to changes in relative humidity (RH). These WR materials are used by many biological systems to perform essential tasks; for example, pinecones use WR materials to release their seeds in dry environments, and wheat awns open and close to propel seeds into the soil, driven by daily RH changes. The WR actuation of some biomaterials is extremely powerful, for example Bacillus subtilis cell walls display record-high actuation energy and power densities of 72 MJ m^-3 and 9.1 MW m^-3, surpassing those of all existing …

Understanding The Impacts Of Extreme Weather On The Power Transmission Infrastructure: A Machine Learning Approach To Quantifying Risks And Enhancing Grid Resilience, Juan P. Montoya Rincon

Dissertations and Theses

This doctoral dissertation focuses on the resilience of power transmission infrastructure in tropical coastal environments, particularly in the face of extreme weather events such as hurricanes. The research is anchored on the case of the passage of Hurricane Maria in the Island of Puerto Rico in September of 2017 which caused the largest damage on the power infrastructure in US history. As such, the research investigates the interaction between extreme winds and power transmission infrastructure in complex terrain, aiming to quantify and predict power loss and damage to the infrastructure during such events. The study employs a comprehensive approach combining …

Applications Of Plasmonic Biosensors In Chiral And Achiral Sensing, Aritra Biswas

Graduate Thesis and Dissertation 2023-2024

Monitoring biological systems is crucial in healthcare, driving the need for reliable and noninvasive solutions. The proliferation of unverified drugs in the market necessitates reliable methods for their detection and identification, especially amidst advancements in pharmaceuticals. Plasmonic biosensors emerge as a great platform for ultra-sensitive detection, identification, and manipulation of biomolecular systems. This dissertation report addresses the critical need for precise detection and monitoring of biomolecules and drugs, presenting innovative solutions through the design of a plasmonic biosensor to tackle challenges in sensitivity, selectivity, and label-free detection and identification. We introduce a robust and tunable, cavity-integrated plasmonic nanopatterned sensor that …

Feasibility Of Pile Driving Analyzer For Pile On Rock, Tanvir Ahmed

College of Graduate Studies: Theses & Dissertations

The purpose of the field verification of piles is to check whether piles can withstand design load. Two commonly used methods are high strain dynamic piles and static load testing. Static load testing is very time-consuming, requires heavy deadloads and much space, and doesn’t have stress monitoring advantages in piles. High strain dynamic has been employed as an alternative in this regard. Pile dynamic analyzer (PDA) is a device which is used during dynamic testing to analyze the measurements from the test. PDA calculates the geotechnical or structural resistance by using wave mechanics algorithm installed in it. Total driving resistance …

Experimentatal And Numerical Investigation Of Turbojet Engine Performance, Emissions, And Noise/Vibrations Using Jet-A And F24 Fuel, John W. Mcafee Jr

College of Graduate Studies: Theses & Dissertations

Drastic improvement in cost effectiveness of high-power computing resources has generated a great interest numerical simulation to reduce the overhead cost of engine manufacturing, maintenance, and environmental concerns of engine testing. To accomplish this goal, this research presents the differences between military F24 fuel and commercial aviation fuel Jet-A from a thermochemical and engine performance perspective. This experimental data was used to create and validate a numerical model of the engine used in the experiments fueled with both Jet-A and F24 fuels. The experimental data was collected using a research based single stage turbojet engine outfitted with many sensors for …

Numerical Modeling Of Thermal Runaway In Lithium-Ion Batteries Using Decomposition Kinetics And Inter-Cell Contact Resistance, Shehzad Khan

College of Graduate Studies: Theses & Dissertations

Lithium-ion batteries (LIBs) are central in numerous high-demand applications due to their high energy density and prolonged cycle life. Despite these advantages, their susceptibility to thermal runaway (TR) poses a significant safety risk, with the potential for catastrophic failures. This study focuses on the thermal behavior of prismatic lithium-ion cells, using a finite volume-based partial differential equation (PDE) solver developed in MATLAB and JULIA to model TR behavior. This solver accurately simulates transient behaviors, convection, diffusion, and source terms across various coordinate systems. By engaging in a series of increasing complex case studies, this research aims to identify the critical …

Aeroelastic Phenomena Of Fixed-Wing Aircraft In Transonic And Supersonic Flows Using A Tightly-Coupled Computational Approach, John C. Havenar

College of Graduate Studies: Theses & Dissertations

Aeroelastic phenomena encountered during flight have considerable effects on the aerodynamic characteristics of fixed-wing aircraft. Transonic aeroelastic phenomena are often characterized by unique flow features which have complex ramifications for aircraft in transonic flight. Computational study of high-speed aeroelastic phenomena requires a fully-coupled aeroelastic algorithm. A series of wing designs are studied with a computational finite volume method solver accompanied by a finite element method solver for the calculation of structural deformation. The computational model for the flow field is validated with experimental data. Modeled flight conditions include transonic flows with bordering subsonic and supersonic cases included for completeness. The …