Engineering Commons^™

Thermal Behavior Of Plain And Fiber-Reinforced Rigid Concrete Airfield Runways, Arash Karimi Pour

Open Access Theses & Dissertations

The environmental condition and temperature gradient are important factors resulting in concrete airfield runways cracking during the time. Rigid concrete airfield runways experience different thermal gradients during the day and night due to changes in air temperature. Curling and thermal expansion stresses are the main consequences resulting in various types of cracking over the surface and thickness of concrete airfield runways and increasing maintenance costs. The curvature of concrete slabs increases with an increase in the temperature gradient which is amplified when runways open to traffic. Additionally, the combination of the curling and shrinkage stresses, in rare circumstances, can be …

Heat Transfer Of A 1n Thruster In A 2.5u Cubesat Module, Javier Madrid

Open Access Theses & Dissertations

With the aerospace industry expanding and moving forward with more ambitious missions, small satellites such as CubeSats have proven to be at the forefront of innovation for research satellites. This innovation have introduced complications which if gone unattended can lead to the loss of the satellite; one such complication coming in the form of propulsion heat transfer. This paper presents an investigation into the propagation of heat transfer within a 2.5 CubeSat module when a 1N thruster is fired inside it. This is done by leveraging the equation of heat transfer and comparing results to those simulated by ANSYS. Not …

Entropy Aided Rf-Dna Fingerprint Learning From Gabor-Based Images, Mohamed Alfatih Taha

Masters Theses and Doctoral Dissertations

The number of devices connected to the internet have been increasing and shape Internet of Things (IoT). The security of IoT is an issue due to the use of weak or no encryption. Specific Emitter Identification (SEI) was introduced to overcome this issue by introduce RF-DNA fingerprinting exploring the PHY layer features. Recently, The SEI performance improved by the usage of the signal’s Time Frequency (TF) representation and accelerated using the Deep learning (DL) Convolutional Neural Network (CNN). While the classification accuracy has been improved from using raw signals learning the amount of data generated is large and computationally expensive. …

Electrical Characterization Of Cementitious Composites, Abbas Ali

Theses and Dissertations

Multifunctional concrete using electrical conductivity gains attention for various nonstructural applications. Particularly, conductive concrete enables monitoring internal damages in concrete, which has been impossible by conventional nondestructive methods. On the other hand, most of on-going investigations on multifunctional concrete uses conductive additives to impart electrical conductivity into concrete, but this limits the multifunctional application to predesigned structures. Finding multifunctionality embedded in conventional concrete can open various possibilities for smart concrete. Aiming to finding the feasibility of using conventional concrete for multifunctional application, this study investigates the electrical properties of plain cementitious composites including cement paste, mortar, and concrete, but not …

Characterization Of Lower Rio Grande Valley Watershed, Abdulkabir O. Aduragba

Theses and Dissertations

The Lower Laguna Madre (LLM) is considered impaired because of the high concentration of bacteria and low level of dissolved oxygen (DO). LLM receives freshwater from the Lower Rio Grande Valley (LRGV) watershed. In other to understand the impairment, LRGV watershed is being studied by relying on water quality data of the contributing drainages and State resource geographic data to identify watershed boundary and pollutant sources.

The study on the North and Central LRGV watershed shows some correlation between the concentration of E. coli/Bacteria, Ammonia, Total Kjeldahl Nitrogen, Total Phosphorus, Nitrate and Nitrite, Chlorophyll-a and the sources of pollutant in …

Formation Control Of Multiple Quadrotors, Miguel Alejandro Garcia

Theses and Dissertations

This thesis studies formation control of multiple quadrotors under different conditions. Two controller design approaches are proposed. In the first approach, it is assumed that the dynamics of each quadrotor is unknown and there is disturbance. With the aid of distributed estimation and the universal approximation property of neural networks, distributed tracking controllers are proposed. Simulation shows the effectiveness of the proposed controllers. In the second approach, it is assumed that the inertia parameters are unknown. With the aid of distributed estimation, online data estimation, and optimal control theory, distributed sub-optimal tracking controllers are proposed. Simulation results show the effectiveness …

Graphene-Conductive Ink Coated Laser Engraved Kapton Electrochemical Biosensor For The Detection Of Dopamine And Immune Sensing, Dipannita Ghosh

Theses and Dissertations

Novel and flexible disposable laser-engraved Kapton (LEK) electrodes modified with graphene conductive inks have been developed for dopamine and Interleukin-6 (IL-6) detection. The LEK sensors exhibit high reproducibility (RSD=0.76%, N=5) and stability (RSD=4.39%, N=15)after multiple bendings, and thus make the sensors ideal for wearable and stretchable bioelectronics applications. We have developed graphene conductive ink- PEDOT:PSS (G-PEDOT:PSS) and polyaniline (G-PANI) based electrode coatings for working electrode modification to improve the sensitivity (41.41 times higher for screen printed electrode with G-PEDPT:PSS ink modification),and limit of detection (LOD) . We have further compared the performance of the fabricated electrodes with commercially available screen-printed …

Developing Executable Digital Models With Model-Based Systems Engineering – An Unmanned Aerial Vehicle Surveillance Scenario Example, Viviana Guadalupe Lopez

Theses and Dissertations

There is an increase in complexity in modern systems that causes inconsistencies in the iterative exchange loops of the system design process and in turn, demands greater quality of system organization and optimization techniques. A recent transition from document-centric systems engineering to Model-Based Systems Engineering (MBSE) is being documented in literature from various industries to address these issues. This study aims to investigate how MBSE can be used as a starting point in developing digital twins (DT). Specifically, the adoption of MBSE for realizing DT has been investigated, resulting in various literature reviews that indicate the most prevalent methodologies and …

Monitoring Of Ac Motors Parameters Using Industrial Internet Of Things, Mohammad Muheisen

Theses and Dissertations

In this thesis, the industrial internet of things has been introduced, as a very newborn research field. The suggested prototype has been assembled at the university laboratory to simulate the system conditions. Two three-phase induction motors have been utilized to perform this study, to monitor and gather data, regarding vibration and temperature. As a very newborn field, the data collected from the two motors can be analyzed to achieve a couple of goals, in energy consumption, to reduce the financial burden of the remedy works. A fast Fourier transformer has been applied to measure the motor's vibrations, and the current …

Wave Excited Mass-Spring-Damper System For A Self-Recharging Autonomous Underwater Vehicle, Mahmodul Hasan Maheen

Theses and Dissertations

Autonomous underwater vehicles' (AUVs) endurance is constrained by the lifetime of their batteries and the distance that tether wires can traverse. Solving the endurance problem of AUV using the enormous potential of ocean wave energy is the motivation behind this thesis. The objective of this research is to model a mass-spring-damper system to emulate the permanent magnet linear generator (PMLG) of a self-recharging AUV and identify its energy absorption capability through numerical simulation and experimental testing. The research activities started with modeling and fabricating a 1:5 scale model. The scaling was done by comparing the most common AUV size of …

Building Services Engineering May/June 2023

Building Services Engineering

No abstract provided.

The Effects Of Carbon Coating On The Electrochemical Performance Of Metal-Oxide Short Fiber Anodes For Lithium-Ion Batteries, David A. Sanchez

Theses and Dissertations

This thesis focuses on the process of oxidizing centrifugally spun precursor fibers and the subsequent process of carbon coating via chemical vapor deposition (CVD) for use as anode material in lithium-ion batteries (LIBs). Metal oxides have been studied as a potential replacement for graphite as they have been shown to have high theoretical capacities, good electronic conductivity, and can be synthesized using low-cost, scalable methods. However, metal oxides with high theoretical capacities also have low cycle life. To avoid this, metal oxides have been integrated with carbon to expand their life cycle. The work in this thesis shows the synthesis …

Geospatial Analysis Based On Hurricane Storm Surge Scenarios On Coastal South Texas And North Mexico, Layda Belia Spor Leal

Theses and Dissertations

The coastal area of the Lower Rio Grande Valley, Texas, and Northern Tamaulipas, Mexico, has historically faced a variety of natural disasters involving flooding hazards, such as hurricanes and tropical storms. These scenarios not only represent imminent danger for the population in the area but can lead to long term effects on the infrastructure located in the impact zone. As such, it is imperative to conduct analysis on not only the specific areas that will be affected, but the severity of flooding that can result after a catastrophic event. Modelling work that simulates the storm surge in case of various …

2023 (Spring) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department

ENSI Informer Magazine Archive

The ENSI Informer Magazine published in the spring of 2023.

Drop Impact On Dry And Liquid Infused Substrates With Micro-Wells., Ahmed Nazrul Islam

Electronic Theses and Dissertations

Drop impact on different types of surfaces are important physical concepts that are routinely found in day-to-day life and such studies have immense application for various types of industries. One such important application of drop dynamics is in the field of aviation science which is concerned of very large freezing drizzle drops impacting on airplane wings. Such drops are known as supercooled large droplets (SLD), and they pose a great risk and have been long known to have caused notable accidents in the past. SLDs are liquid drops that can remain in the state of liquid phase and grow into …

Investigating The Costs And Economic Impact Of Flight Delays In The Aviation Industry And The Potential Strategies For Reduction, Ashmith Anupkumar

Electronic Theses, Projects, and Dissertations

This study addressed a critical issue in our travel life: flight delays. This study covers all aspects of a flight delay, from its causes and consequences to reduction strategies. The focused research questions were: To determine the outcome of flight delays in the aviation industry, to determine costs associated with flight delays for airlines, airports, and passengers, and to determine strategies for reducing flight delays in the aviation industry for robust findings. The findings for each question were as follows: the primary causes were overscheduling, airport hubbing, late check-ins, technical failure, etc. And the consequences were significant financial loss, the …

Ott Subscriber Churn Prediction Using Machine Learning, Needhi Devan Senthil Kumar

Electronic Theses, Projects, and Dissertations

Subscriber churn is a critical issue for companies that rely on recurring revenue from subscription-based services like the OTT platform. Machine Learning algorithms can be used to predict churn and develop targeted retention strategies to address the specific needs and concerns of at-risk subscribers. The research questions are 1) What Machine Learning algorithms are used to overcome subscriber churn? 2) How to predict subscribers’ churn in the OTT platform using Machine Learning? 3) How to retain subscribers and improve customer targeting? The dataset was collected from the Kaggle repository and implemented it into the various prediction algorithms used in previous …

Analyzing The Impact Of Automation On Employment In Different Us Regions: A Data-Driven Approach, Thejaas Balasubramanian

Electronic Theses, Projects, and Dissertations

Automation is transforming the US workforce with the increasing prevalence of technologies like robotics, artificial intelligence, and machine learning. As a result, it is essential to understand how this shift will impact the labor market and prepare for its effects. This culminating experience project aimed to examine the influence of computerization on jobs in the United States and answer the following research questions: Q1. What factors affect how likely different jobs will be automated? Q2. What are the possible effects of automation on the US workforce across states and industries? Q3. What are the meaningful predictors of the likelihood of …

A Predictive Analysis Of The Influence Of Thickness And Length On The Curvature Of Square Bistable Carbon Fiber Reinforced Composite Laminates, Stephan Terry

All Theses

This thesis presents a predictive analysis of the stability of square bistable carbon fiber reinforced composite laminates under various loading conditions. The stability of these laminates is essential to their performance and longevity and is influenced by factors such as thickness and length. Analytical and numerical techniques are used to model the behavior of these laminates, and experimental tests are conducted to validate the models. The findings of this research have implications for the design and optimization of square bistable carbon fiber reinforced composites.

The study investigates the relationships between the side length and thickness of square laminates for bistability. …

Student Barriers To Taking The Fundamentals Of Engineering Exam, Cornelius Walker

All Theses

The primary goal of the thesis was to identify barriers that hinder students from taking the Fundamental of Engineering (FE) exam. The secondary goals were to determine the most prevalent barriers and compare the difference in knowledge about the FE between senior and sophomore students. The FE exam is a computer-based exam with questions based on undergraduate-level courses and is an early step in the process of becoming a professional engineer. Data for the thesis came from interviews and surveys. Interviews were done by twenty seniors, while surveys were given to forty-one senior and eighty-six sophomore civil engineering students. Interviews …

Quantum Artificial Intelligence Supported Autonomous Truck Platooning, Pronab Kumar Biswas

All Theses

Truck platooning can potentially increase the operational efficiency of freight movement on U.S. corridors, improving commercial productivity and economic vibrancy. Predicting each leader vehicle trajectory in the autonomous truck platoon using Artificial Intelligence (AI) can enhance platoon efficiency and safety. Reliance on classical AI may not be efficient for this purpose as it will increase the computational burden for each truck in the platoon. However, Quantum Artificial Intelligence (AI) can be used in this scenario to enhance learning efficiency, learning capacity, and run-time improvements. This study developed and evaluated a Long Short-Term Memory Networks (LSTM) model and a hybrid quantum-classical …

Procedural City Generation With Combined Architectures For Real-Time Visualization, Griffin Poyck

All Theses

The work and research of this paper sought to build upon traditional city generation and simulation in creating a tool that both realistically simulates cities and their prominent features and also creates aesthetic and artistically rich cities using assets that combine several contemporary or near contemporary architectural styles. The major city features simulated are the surrounding terrain, road networks, individual buildings, and building placement. The tools used to both create and integrate these features were created in Houdini with Unreal Engine 5 as the intended final destination. This research was influenced by the city, town, and road networking of Ghost …

2023 Spring Graduate Recognition Program, Propulsion Research Center, Robert Frederick

PRC Graduate Recognition

This program includes the graduate recognition program for spring 2023. Includes photographs, upcoming events, recent publications, and student profiles.

Multifunctional Additive Manufacturing And Multiphysics Numerical Investigations Of Carbon Fiber Structural Battery Composite Using A Drop-On-Demand Method With In-Situ Consolidation, Xiangyang Dong, Yuekun Chen

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Lightweight Carbon Fiber Structural Battery Composite Has Great Potential in Increasing Structural Energy Storage Efficiency for Multifunctional Applications. However, It is Still Challenging to Design Carbon Fiber Multifunctional Composite Due to Lack of Proper Manufacturing Methods. in This Study, an Integrated Multifunctional Design and Fabrication Approach is Developed by Combining a Drop-On-Demand Additive Manufacturing Method with a Multiphysics Numerical Model to Guide the Development of the New Multifunctional Composite. through Deposition with In-Situ Consolidation, the Function and Thickness of Each Carbon Fiber Layer as Well as its Fiber Volume Fraction Are Accurately Controlled. Decreasing Layer Thickness Improves Flexural Properties. the …

Metastability And Degradation In Cu(In,Ga)Se2 Thin-Film Solar Cells, Mohsen Jahandardoost

UNLV Theses, Dissertations, Professional Papers, and Capstones

Cu(In,Ga)(S,Se)2 or CIGS is a thin-film semiconductor that has shown a device efficiency of 23.35% and 24.2% for single-junction and perovskite/CIGS tandem solar cells, respectively. CIGS offers promising properties such as tunable bandgap and ease of processing making them great candidates for thin-film tandem devices. However, knowledge of the effect of material defects, buffer materials, and post-deposition treatment (PDT) on degradation and metastability behavior in these devices is not well understood.In this dissertation, metastability and long-term degradation of CIGS thin-film solar cells have been investigated under combinatorial stress factors of heat, light, and voltage bias to systematically understand the effect …

Mission Concept User Guide: University Nanosatellite Program (Unp), Space Dynamics Laboratory

Space Dynamics Laboratory Publications

This guide is specific to the University Nanosatellite Program (UNP) Mission Concept Program and focuses heavily on mission design and initial systems engineering processes. Additional information covering mission design, systems engineering processes, detailed design, assembly, integration, and testing is available in the UNP Nanosatellite User Guide and other associated UNP resources. This guide assumes the reader has entry-level familiarity with engineering, space, and satellite concepts such as mechanical and electrical calculations and terms, orbits, and CubeSats. UNP provides much of this information during the Kickoff and Mission Design presentations.

Characterization Of Piezoelectric Coefficient Using Combined Optical And Electrical Methods, Limna Sainudeen Attoor

Theses

The characterization of piezoelectric coefficients, specifically, the extraction of D33 charge constant versus applied voltage profiles plays an important role in MEMS (Micro Electro Mechanical Systems) design and actuation. MEMS structures widely use piezoelectric thin films due to their advantages of possessing high piezoelectric constants and lightweight properties. Hence there is a need for characterizing piezoelectric materials so that one can predict their response during different operating conditions. In this work, a combined electrical and light-based methodology to characterize the voltage dependency profile of d33 is developed. A set of equations are extracted based on the electrical capacitance and light …

Upgrading The Performance Of Steel Beams Using Fastened Advanced Composite Materials, Omnia Ragab Abouelhamd

Dissertations

Bonding Fiber-Reinforced Polymers (FRP) is commonly used to enhance the structural performance of existing steel beams; however, the brittle failure at the adhesive risks the effectiveness of the bonded system. Fastening FRP is recently proposed to avoid the brittle failure of the adhesive. Promising outcomes of few studies on fastened FRPsteel system provoked the interest to investigate the effects of various fastening parameters on the performance of fastened FRP-steel beams.

This study investigates, experimentally and numerically, the impact of various fastening parameters on the performance of fastened FRP-steel beams. The proposed method involves fastening carbon-glass hybrid FRP (HFRP) strips to …

Electrodialysis Process For The Simultaneous Treatment Of Reject Brine And Capture Of Carbon Dioxide, Jawad Mustafa

Dissertations

Desalination plants are highly efficient in producing desalinated water for potable applications. However, the process also generates reject brine, which is highly concentrated saline water. In order to produce 1 liter of potable water using desalination, approximately 1.5 liters of reject brine is generated. The disposal of reject brine presents a significant challenge for the desalination industry. Typically, this waste product is discharged into the sea, causing environmental damage, and polluting marine life. Moreover, certain countries heavily rely on desalination to meet their potable water needs, which results in the emission of greenhouse gases. As desalination plants consume a significant …

Editorial: Innovative Shared Transportation, Marco Nie, Hai Wang, Wai Yuen Szeto

Research Collection School Of Computing and Information Systems

Recent technological developments—mobile computing, autonomous driving, alternative fuel vehicles, and blockchain, to name a few—have enabled numerous innovations in mobility, transportation, and logistics services. They offer unprecedented opportunities to transform conventional transportation systems, for both personal travel and freight logistics, with novel solutions. Of these solutions, those built on the emerging concept of shared economy, such as Uber, Didi, and Cargostream, have received much attention recently. The rapidly expanding scope of shared transportation services now includes ride-sourcing, ridesharing, car sharing, hitch service, flexible paratransit, shared freight delivery, shared logistics, bike sharing, shared last-mile service, parking space sharing, and so on.