Engineering Commons^™

Towards A Study Protocol: A Data-Driven Workflow To Identify Error Sources In Direct Ink Write Mechatronics, Hein Htet Aung, Quynh D. Tran, Pawan K. Tripathi, Roger H. French, Laura S. Bruckman

Faculty Scholarship

Using Direct Ink Write (DIW) technology in a rapid and large-scale production requires reliable quality control for printed parts. Data streams generated during printing, such as print mechatronics, are massive and diverse which impedes extracting insights. In our study protocol approach, we developed a data-driven workflow to understand the behavior of sensor-measured X- and Y-axes positional errors with process parameters, such as print velocity and velocity control. We uncovered patterns showing that instantaneous changes in the velocity, when the build platform accelerates and decelerates, largely influence the positional errors, especially in the X-axis due to the hardware architecture. Since DIW …

Transformer Based Deep Learning Model For Sign Language Recognition, Ganzorig Batnasan

Thesis/ Dissertation Defenses

Sign language recognition research aims to develop systems and tools that can interpret and translate sign language into text or spoken language. During the past two decades, the challenges faced in this domain are multifaceted. This thesis on sign language recognition aims to address some challenges through various approaches. The foremost challenge addressed in this thesis is reduction in accuracy that uses transformer based deep learning architecture in addition to preprocessing steps that include augmentations and transformations. The augmentations and transformation helped increase the data size. Specifically, in-house signs were generated using different persons for initial results. The video frames …

Comparison Of Four In Vitro Test Methods To Assess Nucleus Pulposus Replacement Device Expulsion Risk, Tahmanna Rahman, Matthew J. Kibble, Gianluca Harbert, Nigel Smith, Erik Brewer, Thomas P. Schaer, Nicolas Newell

Rowan-Virtua School of Translational Biomedical Engineering & Sciences Departmental Research

Background

Nucleus replacement devices (NRDs) are not routinely used in clinic, predominantly due to the risk of device expulsion. Rigorous in vitro testing may enable failure mechanisms to be identified prior to clinical trials; however, current testing standards do not specify a particular expulsion test. Multiple methods have therefore been developed, complicating comparisons between NRD designs. Thus, this study assessed the effectiveness of four previously reported expulsion testing protocols; hula-hoop (Protocol 1), adapted hula-hoop (Protocol 2), eccentric cycling (Protocol 3), and ramp to failure (Protocol 4), applied to two NRDs, one preformed and one in situ curing.

Methods

Nucleus material …

Comparison Of Four In Vitro Test Methods To Assess Nucleus Pulposus Replacement Device Expulsion Risk, Tamanna Rahman, Matthew J. Kibble, Gianluca Harbert, Nigel Smith, Erik Brewer, Nicholas Newell

Rowan-Virtua School of Translational Biomedical Engineering & Sciences Departmental Research

Background: Nucleus replacement devices (NRDs) are not routinely used in clinic, predominantly due to the risk of device expulsion. Rigorous in vitro testing may enable failure mechanisms to be identified prior to clinical trials; however, current testing standards do not specify a particular expulsion test. Multiple methods have therefore been developed, complicating comparisons between NRD designs. Thus, this study assessed the effectiveness of four previously reported expulsion testing protocols; hula-hoop (Protocol 1), adapted hula-hoop (Protocol 2), eccentric cycling (Protocol 3), and ramp to failure (Protocol 4), applied to two NRDs, one preformed and one in situ curing. Methods: Nucleus material …

Mineral Matter Behavior During The Combustion Of Biomass And Coal Blends And Its Effect On Particulate Matter Emission, Ash Deposition, And Sulfur Dioxide Emission, Rajarshi Roy

Theses and Dissertations

Combustion of coal is one of the primary sources of electricity generation worldwide today. Coal contains different chemicals that cause particulate matter(PM) and sulfur dioxide (SO2) emissions. These are health hazards and are responsible for deteriorating the ambient air quality. Particulate matter also forms ash deposits inside the coal combustor, which in turn decreases the energy efficiency of the power plants. Using biomass as a fuel in these utility boilers can potentially reduce the problems of particulate matter emissions and ash deposition, and can significantly reduce the SO2 emissions. However, biomass needs to be pretreated to make its properties similar …

Stress And Exercise In Part 141 Flight Students, Reece Curcio, Thomas Vincent Hayes, Reon Porter, Brooke Wheeler

Aeronautics Student Publications

This study explores how stress levels relate to exercise habits among aviation students in a Part 141 collegiate flight program. There was no correlation between stress and exercise. This outcome was unexpected as the hypothesis was an inverse relationship between perceived stress and exercise.

Passenger Insight On Sustainable Flight: Exploring The Relationships Between Attitudes And Risk Propensity On Willingness To Fly, Kayla Hylan, Carl A. Thomas Jr., Vivek Sharma, Brooke Wheeler

Aeronautics Student Publications

Passengers were generally accepting of sustainable aircraft, but compared to jet fuel, higher general risk propensity (GRiP) was more predictive of willingness to fly (WF) in sustainable aircraft. Sustainable attitudes strongly related to WF in sustainable aviation fuels (SAF) but had a weaker relationship on WF in electric and hydrogen aircraft, compared to jet fuel.

Reducing Glass Loss During Transportation And Storage, Abdulaziz Muzafarovich Qurbanov, Mirzaabdullayev Jaxongir Baxtiyorovich

Technical science and innovation

The article discusses the processes of transportation and storage of sheet glass in the production of protective glass for cars. The experience of organizing the transportation and storage of glass in developed countries of the world was analyzed in order to study the problems of losses of raw materials during the transportation and storage of laminated glass, as well as to develop and approve a regulatory and technical document. in this field. The supplies of various brands of polished laminated glass used in the production of protective glass for cars to Avtooina LLC from different addresses, from different manufacturers were …

The Next Threat Landscape: Securing America’S Cyber-Physical Systems, Grayson Thomas

Honors College Theses

The goal of this research is to explore, identify, and enumerate the security threats that exist to industry current industrial controls systems (ICS) and supervisory control and data acquisition systems (SCADA). A scale lab similar to industry standard will be built and developed for research purposes. The Purdue Model for ICS and the Cyber Kill Chain will be referenced as frameworks for attack sequences, and the MITRE ATT&CK framework will be referenced for attack types. Attempts will be made to compromise the various pieces of our built SCADA system via configuration errors, software vulnerabilities, and deployment mistakes common with industrial …

Applications, Challenges, And Research Issues For Enabling A Uav Swarm, Jennifer Hahner

Senior Honors Theses

Unmanned aerial vehicle (UAV) swarms have the potential to be useful in numerous applications due to their versatility and ability to operate without human intervention. However, this promising technology still requires further investigation, research, and testing before UAV swarms can be implemented extensively. The level of human intervention needed to control the system determines the differing levels of autonomy for UAV swarms. For swarms to become more independent, efficient algorithms for task and path planning are essential. In addition, accurate communication is essential for swarms to be able to coordinate and accomplish tasks successfully. This paper seeks to provide a …

Laboratory Evaluation Of Early-Age Concrete Comprising Type Il Cement And Natural Pozzolans, Battsagaan Ilch

Theses and Dissertations

The objective of this laboratory research was to investigate the effects of a higher water-cementitious materials ratio on selected properties of concrete mixtures comprising natural pozzolans. The scope of work included testing of six concrete mixtures, including one for each of three natural pozzolans at two water-cementitious materials ratios of 0.44 and 0.48 and one concrete mixture without pozzolan at a water-cementitious materials ratio of 0.44, which was treated as a baseline in this research. The stiffness and strength of each concrete mixture were measured at 1, 3, and 7 days using concrete specimens that were cast immediately after mixing. …

Sparse Ensemble Networks For Hypserspectral Image Classification, Rakesh Kumar Iyer, Okan Ersoy

Department of Electrical and Computer Engineering Technical Reports

We explore the efficacy of sparsity and ensemble model in the classification of hyperspectral images, a pivotal task in remote sensing applications. While Convolutional Neural Networks (CNNs) and Transformer models have shown promise in this domain, each exhibits distinct limitations; CNNs excel in capturing the spatial/local features but falter to capture spectral features, whereas Transformers captures the spectral features at the expense of spatial features. Furthermore, the computational cost associated with training several independent CNN and Transformer networks becomes expensive. To address these limitations, we propose a novel ensemble framework comprising pruned CNNs and Transformers, optimizing both spatial and spectral …

Development And Evaluation Of Full Performance-Based Procedures For The Estimation Of Liquefaction-Induced Building Settlement In A Non-Free-Field Condition Using Cumulative Absolute Velocity, Dallin Nathan Smith

Theses and Dissertations

Liquefaction induced settlement is an earthquake hazard engineers face when developing infrastructure. Current methods for estimating liquefaction induced settlement are done in a free field condition. This assumption is not an accurate way to describe the soil because in most cases the soil will bear some kind of infrastructure. Evaluation of liquefaction induced settlement in a non-free-field condition is a more appropriate way. Using the Bullock et al. CAV model, Bullock et al liquefaction induced settlement model, and probabilistic seismic hazard software from the USGS, a full performance-based procedure for the estimation of liquefaction-induced building settlement in the non-free-field condition …

Incorporating Safety Excellence Into Urban Air Mobility (Uam): Insights From Commercial Aviation, Rotorcraft, And Unmanned Aerial Systems (Uas), Seyoung "Evie" Jang

Senior Honors Theses

This paper focused on safety considerations in Urban Air Mobility (UAM) through a cross-industry examination of commercial aviation, rotorcraft, and unmanned aerial systems (UAS). Although UAM promises transformative benefits, there are safety concerns remaining. Based on the Federal Aviation Administration (FAA)’s Concept of Operations (ConOps), the literature review explained the fundamental concepts of UAM. In commercial aviation, regulatory framework, pilot training and certification, vehicle design and maintenance, and emergency response planning are emphasized. For rotorcraft, safety requirements for vertical flight, collision avoidance systems, heliport standards, and weather adaptability are crucial. Leveraging UAS advancements, the study suggested autonomous systems, sense-and-avoid technology, …

Aerodynamic Design And Analysis Of A Modified 2006 Mazda Miata, William N. Recher

Honors College Theses

Aerodynamic forces developed by automobiles have destabilizing effects at high speed. These forces tend to skew toward a vehicle’s rear which can present safety concerns, especially for rear-wheel-drive automobiles like the Mazda Miata. To address oversteer and high-speed instability, a vehicle’s design can be tailored to bring about aerodynamic balance and improve traction. LiDAR was used to bring the physical automobile into the digital space. Then, a splitter and diffuser were added to reduce the magnitude of the destabilizing forces. Next, the size and shape of the rear-wing required to balance the vehicle was calculated using a combination of parameters …

Mathematical Modeling For Dental Decay Prevention In Children And Adolescents, Mahdiyeh Soltaninejad

Dissertations

The high prevalence of dental caries among children and adolescents, especially those from lower socio-economic backgrounds, is a significant nationwide health concern. Early prevention, such as dental sealants and fluoride varnish (FV), is essential, but access to this care remains limited and disparate. In this research, a national dataset is utilized to assess sealants' reach and effectiveness in preventing tooth decay, particularly focusing on 2nd molars that emerge during early adolescence, a current gap in the knowledge base. FV is recommended to be delivered during medical well-child visits to children who are not seeing a dentist. Challenges and facilitators in …

User-Centered Design Of Compliant Mechanism And Origami-Based Products, Bethany Maria Parkinson

Theses and Dissertations

In user-centered design, the way users feel when interacting with products is taken under consideration in the design process. In this research, the user-centered design of compliant mechanism and origami-based products is explored. Examples of user-centered compliant mechanism and origami-based design projects are presented: first, for novel furniture designs, in which the safety, comfort, and visual aesthetics are important; and second, for compliant handheld dart launchers, where the feel of blaster actuation is taken into consideration. The feel of a product and a person's emotional response to it are important to products meant to be interacted with, but especially in …

Disturbance Observer-Based Control For Pmsg-Based Wind Turbine Considering Unbalanced Grid Conditions, Moayad Maher Alanani

Thesis/ Dissertation Defenses

A typical permanent magnet synchronous generator (PMSG)-based wind turbine system consists of an electrical generator, machine-side converter (MSC), grid-side converter (GSC), dc-link capacitor, and a passive filter such as L filter or LCL filter to connect the GSC to the host grid. When the wind turbine operates under unbalanced grid voltages, a negative sequence component is introduced to the system. This negative sequence voltage can pose challenges for classical controllers to ensure an efficient control of the PMSG-based wind turbine system. On one hand, when the control objective is to ensure injecting sinusoidal and balanced three-phase currents to the grid, …

Experimental Investigation Of Various Hydrogen Knock Limit Extension Strategies On A Hydrogen-Gasoline Dual Fuel Spark Ignition Engine, Sanad Puthan Purayil

Thesis/ Dissertation Defenses

Hydrogen is a clean and carbon free substitute with the ability to significantly cut down the harmful emissions while enhancing the energy efficiency of internal combustion engines (ICE) typically powered by conventional fossil fuels. Hydrogen is the most abundant element which can be easily obtained from sources like water and biomass. The wide flammability range and high laminar flame velocity outstands hydrogen from other fuels. However, hydrogen fueled engines are more prone to abnormal combustion like knock and backfire due to its low ignition energy and high adiabatic flame temperature. To avoid backfire, several well-developed approaches have been reported. Unlike …

Microgravity Aeroponics System Project, Andrew W. Diddle

Morehead State Theses and Dissertations

A thesis presented to the faculty of the College of Science and Engineering at Morehead State University in partial fulfillment of the requirements for the degree Master of Science by Andrew W. Diddle on April 22, 2024.

Predicting Hospitalization Risk Of Schizophrenia Patients In Missouri, Arun Kumar

Theses

Understanding the factors that contribute to the risk of hospitalization among individuals with schizophrenia is crucial for optimizing treatment strategies and improving patient outcomes. In this study, we used recent Medicaid adminis trative claims data in Missouri (from 2016 to 2019) and predicted the risk of hospitalization of patients diagnosed with Schizophrenia (N=143446). We ana lyzed the association between previous hospitalizations and the likelihood of future hospitalizations. We developed machine learning techniques, including logistic re gression and decision tree classifiers, to predict the risk of hospitalization based on demographic factors, clinical variables, and historical hospitalization records. Our findings reveal that …

Developing A Sql Injection Exploitation Tool With Natural Language Generation, Kate Isabelle Boekweg

Theses and Dissertations

Websites are a popular tool in our modern world, used daily by many companies and individuals. However, they are also rife with vulnerabilities, including SQL injection (SQLI) vulnerabilities. SQLI attacks can lead to significant damage to the data stored within web applications and their databases. Due to the dangers posed by these attacks, many countermeasures have been researched and implemented to protect websites against this threat. Various tools have been developed to enhance the process of detecting SQLI vulnerabilities and active SQLI attacks. Many of these tools have integrated machine learning technologies, aiming to improve their efficiency and effectiveness. Penetration …

Optimal Molecular Dynamics System Size For Increased Precision And Efficiency For Epoxy Materials, Khatereh Kashmari, Sagar Patil, Josh Kemppainen, Shankara Gowtham, Gregory Odegard

Michigan Tech Publications

Molecular dynamics (MD) simulation is an important tool for predicting thermo-mechanical properties of polymer resins at the nanometer length scale, which is particularly important for efficient computationally driven design of advanced composite materials and structures. Because of the statistical nature of modeling amorphous materials on the nanometer length scale, multiple MD models (replicates) are typically built and simulated for statistical sampling of predicted properties. Larger replicates generally provide higher precision in the predictions but result in higher simulation times. Unfortunately, there is insufficient information in the literature to establish guidelines between MD model size and the resulting precision in predicted …

Low Impedance, Durable, Self-Adhesive Hydrogel Epidermal Electrodes For Electrophysiology Recording, Naiyan Wu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Traditional electrodes used for electrophysiology recording, characterized by their hard, dry, and inanimate nature, are fundamentally mismatched with the soft, moist, and bioactive characteristics of biological tissues, leading to suboptimal skin-electrode interfaces. Hydrogel materials, mirroring the high water content and biocompatibility of biological tissues, emerge as promising candidates for epidermal electronic materials due to their adjustable physicochemical properties. However, challenges such as inadequate electrical conductivity, elevated skin impedance, unreliable adhesion in moist conditions, and performance decline from dehydration have significantly restricted the efficacy and applicability of hydrogel-based electrodes. In this thesis, we report a high-performance hydrogel epidermal electrode patch for …

Gate-Controlled Supercurrent Effect In Dry-Etched Dayem Bridges Of Non-Centrosymmetric Niobium Rhenium, Jennifer Koch, Carla Cirillo, Sebastiano Battisti, Leon Ruf, Zahra Makhdoumi Kakhaki, Alessandro Paghi, Armen Gulian, Serafim Teknowijoyo, Giorgio De Simoni, Francesco Giazotto, Carmine Attanasio, Elke Scheer, Angelo Di Bernardo

Mathematics, Physics, and Computer Science Faculty Articles and Research

The application of a gate voltage to control the superconducting current flowing through a nanoscale superconducting constriction, named as gate-controlled supercurrent (GCS), has raised great interest for fundamental and technological reasons. To gain a deeper understanding of this effect and develop superconducting technologies based on it, the material and physical parameters crucial for the GCS effect must be identified. Top-down fabrication protocols should also be optimized to increase device scalability, although studies suggest that top-down fabricated devices are more resilient to show a GCS. Here, we investigate gated superconducting nanobridges made with a top-down fabrication process from thin films of …

Phosphorus Soprtion Experiments: Impacts On Water Column Phosphate Concentrations In Utah Lake, Rebecca Layne Butters

Theses and Dissertations

Utah Lake, located in north-central Utah, USA, is a freshwater lake with a large surface area, shallow depth, and phosphorus-rich sediment with significant water-sediment interaction. These factors cause unique phosphorus behavior relative to other lake ecosystems, governed by sediment-water interactions. We hypothesize that benthic sediments and suspended solids act, by sorption processes, to maintain water column P concentrations that are largely insensitive to P inflows. We conducted a Phosphorus Addition Experiment to characterize sorbed P fluxes in the lake. Our experimental procedure included bench-scale laboratory experiments testing Utah Lake water and sediment with dilute and augmented P levels, as well …

Emerging Technologies For Automation In Environmental Sensing: Review, Shekhar Suman Borah, Aaditya Khanal, Prabha Sundaravadivel

Electrical Engineering Faculty Publications and Presentations

This article explores the impact of automation on environmental sensing, focusing on advanced technologies that revolutionize data collection analysis and monitoring. The International Union of Pure and Applied Chemistry (IUPAC) defines automation as integrating hardware and software components into modern analytical systems. Advancements in electronics, computer science, and robotics drive the evolution of automated sensing systems, overcoming traditional limitations in manual data collection. Environmental sensor networks (ESNs) address challenges in weather constraints and cost considerations, providing high-quality time-series data, although issues in interoperability, calibration, communication, and longevity persist. Unmanned Aerial Systems (UASs), particularly unmanned aerial vehicles (UAVs), play an important …

Development Of A Molten Salt Reactor Design And Design Framework For Overall Reactor Performance Prediction And Optimization, Andrew William Larsen

Theses and Dissertations

This dissertation introduces a novel approach to nuclear reactor design, emphasizing molten salt reactors (MSRs) to address the global need for safer, more efficient, and sustainable energy sources. It confronts the inherent challenges of nuclear fission reactors--proliferation risks, cost efficiency, waste management, and passive accident prevention--by developing an innovative MSR model and a machine learning (ML)-based optimization framework. The molten salt microreactor (MSMR), devised by researchers at Brigham Young University, utilizes thermally conductive plates for efficient heat dissipation during operational anomalies, ensuring safety within operational limits. This design was rigorously tested using STARCCM+ for fluid dynamics modeling and RELAP5-3D for …

Barriers To Contract Negotiation In Construction Projects And Strategies To Foster Trust, Luke Thomas Peterson

Theses and Dissertations

This study explores the impact of contract negotiation within construction projects by utilizing a modified Delphi approach, which integrates interviews alongside the traditional Delphi surveys. This methodology combines the structured feedback loop of Delphi surveys with the qualitative depth provided by interviews. This offers a more comprehensive understanding of contract negotiation dynamics in construction projects. It identifies systemic challenges as primary barriers to negotiation, highlighting the need for a cultural shift towards prioritizing negotiation and flexibility within the industry. The study reveals that time and cost considerations are relatively minor compared to interpersonal skills and trust-building. It cautions against damaging …

Transferable User-Friendly Machine Learning For Normal Boiling Point Prediction, Frank Tafadzwa Mtetwa

Theses and Dissertations

The estimation of thermophysical properties of chemical compounds holds considerable importance across a multitude of fields, ranging from material science to process design. Among these properties, the normal boiling point (NBP) stands out as a pivotal parameter in scientific and engineering contexts, as it elucidates the state of a substance under standard conditions commonly encountered in nature. Additionally, NBP is extensively documented in various reference materials and databases. Given its paramount importance and widespread availability, prediction methodologies for other properties such as critical temperature, liquid density, vapor pressure, surface tension, liquid viscosity, liquid thermal conductivity, and flash point often rely …