Engineering Commons^™

Three Degree Of Freedom Wave Energy Converter Design For Resonant Motion, Greg Ballen, David G. Wilson, Rush Robinett, Shangyan Zou, Wayne Weaver

Michigan Tech Publications

As multiple-degree-of-freedom (3-DOF) wave energy converters (WECs) have demonstrated the ability to produce more power than single-degree-of-freedom devices, the challenge of designing buoys for efficient energy harvesting has increased in complexity. In this paper, a cylindrical WEC is designed to naturally resonate in surge, pitch, and heave modes at a specific target frequency of 0.2 Hz. By utilizing a penalty-based optimization method to balance buoyancy requirements with natural resonance, the design achieves minimal control force input, thereby reducing fluctuations in energy output and local energy storage requirements. The performance is evaluated under irregular sea states using a Bretschneider spectrum. Results …

Development Of An Experimental Platform For Hydrogen-Propelled Cold Spray, Michael James Katz

Theses and Dissertations

Cold spray (CS) has gained recent interest as an additive manufacturing process. This process uses high pressure propellant gas to accelerate solid-state powder particles through a specialized nozzle, beyond which the powder deposits onto a substrate as a dense coating and without either material undergoing a phase change. Both nitrogen (N2) and helium (He) are commonly used as CS propellants, with He generally yielding superior results at otherwise similar processing conditions. However, performance advantages of He come with a significant drawback: He is a limited resource that may be sensitive to geopolitical conflicts and, in recent history, has been subject …

Hypersonic Impact Method For Aerodynamics And Convective Heating (Hi-Mach) With Sensitivities, Jeremiah Goates, Logan Freeman, Nathan Hoch, Douglas Hunsaker

Mechanical and Aerospace Engineering Student Publications and Presentations

The purpose of this paper is to present the development of an engineering level code for calculating hypersonic aerodynamics and convective heating, HI-Mach. Novel to this paper are the use of analytic methods for streamline tracing and the direct differentiation of geometric sensitivities for both forces and heat load. Independent panel inclination methods calculate the pressure distribution on the surface of a hypersonic vehicle. Normal shock relations provide the thermodynamic state on each panel. Streamlines are integrated using closed-form streamline equations. Flat plate formulas corrected for compressibility calculate the skin friction coefficient and acreage heat flux on each panel. Formulas …

Rioi: A Microwave-Photonic Rf-Interferometric Interrogation Technique For Enhanced Fiber Optic Sensing, Chen Zhu, Ruimin Jie, Chenxi Huang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Fiber optic interferometric (FOI) sensors are widely recognized for their high sensitivity, design flexibility, and multiplexing capabilities, making them ideal for applications ranging from structural health monitoring to biomedical diagnostics. However, conventional optical-domain interrogation techniques are often limited by the performance constraints of spectrometers. In this work, we present a radiofrequency (RF)-interferometric optical interrogation (RIOI) method for FOI sensors. This approach leverages microwave photonic (MWP) processing to encode the optical interference phase into an RF signal, which is then combined with a reference RF signal to produce a microwave-domain interferogram. By tracking spectral shifts in the RF domain, RIOI achieves …

Harnessing Phase Engineered Porous Mxene-Tio2 In Polyamide Reverse Osmosis Membranes For Enhanced Short- And Long Chain Pfas Removal From Water, Roham Ghanbari, Javad Farahbakhsh, Ahmad Najafidoust, Ratish Permala, Stefan Iglauer, Shervin Kabiri, Masoumeh Zargar

Research outputs 2022 to 2026

MXenes (2D transition metal nitrides, oxycarbides, carbonitrides, and carbides) hold promise in water treatment due to tunable surface chemistry and hydrophilic nature but restacking in aqueous environments and susceptibility to oxidation remain challenging. Here, we deliberately exploit partial oxidation of Ti3C2Tx MXene to in situ grow TiO2 nanoparticles on its surface, creating a porous, phase-engineered MXene-TiO2 composite. The anatase:rutile ratio was adjusted through different hydrothermal process time (12, 18, and 24 h), after 18 h composition yielding the best balance of surface charge and structural stability. This composite was incorporated into the polyamide (PA) layer of a thin-film composite reverse …

Applied Research In Field Crop Pathology For Indiana, 2020, Darcy E. P. Telenko

Purdue University Press Books

Applied Research in Field Crop Pathology for Indiana, 2020 serves as a summary of the applied field crop pathology research trials conducted in 2020 under the direction of the Purdue Field Crop Pathology program in the Department of Botany and Plant Pathology at Purdue University. In Indiana, there are more than 57,600 farms, 16,000 crop producers, and 900 certified crop advisers, Extension educators, and crop-protection industry representatives who manage more than 11.4 million crop-production acres with a total value of $6.3 billion annually. There are more than twenty diseases affecting corn, soybeans, and wheat that may decrease crop production and …

Space-Time Coded Pcm/Fm For Aeronautical Mobile Telemetry, Zachary B. Hilton

Theses and Dissertations

This thesis describes the application of a space-time block code for the legacy continuous phase modulation called "PCM/FM" in the IRIG 106 standard to solve the "two-antenna problem". This problem arises when two transmit antennas are used for full spatial coverage at the cost of self-interference caused by the different delays between the transmit antennas and the ground-based antenna. The space-time block encoder is described using bit-level operations on the input data stream. The space-time decoder uses coherent combining and maximum likelihood sequence estimation to produce an estimate of the data sequence. Simulation results for zero and various non-zero differential …

Public Understanding Of Ai-Enabled Cyber Threats And Its Impact On Cybersecurity Governance In The United States, Charlotte M. Barbrick

LSU Master's Theses

Artificial intelligence is spreading quickly in workplaces and everyday life, and that fast growth is creating cybersecurity and privacy risks that current laws and organizational practices do not fully address. This thesis asks whether AI-specific knowledge shapes public support for cybersecurity governance of AI-enabled systems in the United States. Using nationally representative survey data from the Pew Research Center’s American Trends Panel (ATP) Wave 119, fielded December 12--18, 2022, I estimate weighted regression models to test how objective AI knowledge shapes support for cybersecurity governance. I also test whether concern about data misuse helps explain that relationship and whether AI …

Effects Of Solvent Type, Storage Time, And Storage Temperature On Free Radical Stability And Concentration In Model Radical Systems And Complex Vegetable Oil Matrices, Rachid Ismail Daboussi

Thesis/ Dissertation Defenses

Free radicals are reactive species with unpaired electrons that occur and form within a range of biological, physical, and chemical systems. These highly reactive entities can interact with each other and/or with other molecules present in a mixture, often leading to significant changes in the system. Control over free radical concentration and free radical reactions is necessary in various fields depending on the aim of the process. For instance, free radical addition reactions play an essential role in the synthesis of polymers, where controlled radical behavior is necessary. However, in the thermal cracking of oil, free radical addition reactions are …

Evaluation Of Remote Sensing Soil Moisture Datasets In Arid Regions And Their Prospect For Leak Detection In Water Distribution Systems, Alaa Shakfeh

Thesis/ Dissertation Defenses

This thesis is concerned with the evaluation of satellite-based soil moisture (SSM) datasets in arid regions and their potential application to leak detection in water distribution systems. The work focuses on the SMAP Level-4 soil moisture product and a Sentinel-1 SAR-based (SAR4SM) retrieval framework, used in conjunction with in-situ observations from the International Soil Moisture Network (ISMN) and historical leak records from the Al Ain Distribution Network (AADC), currently part of TAQA Distribution. The main objectives are (i) to quantify the performance of SMAP and SAR4SM surface soil moisture estimates over arid environments against ground-based measurements, and (ii) to develop …

Performance Analysis Of Back-To-Back Multilevel Tnpc Converters For Wave Energy Converters, Kappala Raveendrababu

Thesis/ Dissertation Defenses

A Wave Energy Converter (WEC) is a device that transforms the kinetic energy of ocean waves into usable electrical energy. Wave energy has the potential to become a major renewable energy source soon, as its energy density is higher than that of solar and wind power, especially as its technology advances. This thesis addresses the integration of wave energy conversion systems into the electrical grid using back-to-back multilevel power converter topologies. The study focuses on the design and implementation of a back-to-back three-level T-type Neutral Point Clamped (T-NPC) converter for a single wave energy conversion system to enhance efficiency, reliability, …

Utilization Of Commercial Phosphonium And Ammonium Ionic Liquids In Enhanced Oil Recovery Of Carbonate Reservoirs, Nada Berrandjia

Thesis/ Dissertation Defenses

Despite advancements in renewable energy, oil and gas still dominate global energy supply, while a substantial portion of original oil in place (OOIP) remains unrecovered through conventional recovery methods. One of the most effective approaches used to mobilize residual oil is chemical enhanced oil recovery (CEOR) through mechanisms such as reduction of interfacial tension (IFT), alteration of wettability, emulsification, and improved displacement efficiency. Recently, ionic liquids (ILs) have gained interest as alternative CEOR agents due to their tunable structure and superior stability under harsh reservoir conditions. This thesis experimentally investigates the potential of low-cost and commercially available ILs for enhanced …

Comparative Performance Of Polymeric Membrane-Catalytic Combined Module Systems For Efficient Co2 Capture, Yamna Saif Alshamsi

Thesis/ Dissertation Defenses

Effective carbon dioxide (CO2) capture is crucial for mitigating climate change. Membrane-based gas absorption systems, particularly those utilizing monoethanolamine (MEA), offer a modular, scalable, and energy-efficient alternative to conventional methods. However, challenges such as membrane wetting, solvent degradation, and mass-transfer limitations hinder their performance.This research investigated the efficiency of polyvinylidene fluoride (PVDF) and polyethersulfone (PES) polymeric membrane contactors for CO2 absorption using MEA under simulated flue gas conditions. A novel approach involved incorporating nanocatalytic material into the absorbent solution to enhance CO2 absorption. Characterization included SEM, FTIR, XRD, permeability, tensile strength, and contact angle measurements, alongside CO2 absorption performance evaluation. …

Sulfate Attack And Microstructural Study Of Self-Compacting Sand Concrete Incorporating Recycled Concrete, S. Boudali, A.M. Soliman, B. Abdulsalam, S. Poncet, Adel Elsafty

HBRC Journal

This study presents an experimental investigation of the microstructure of Self-Compacting Sand Concrete (SCSC) containing recycled concrete aggregates (RCA) and fine recycled concrete powder (FRCP) under a sulfate attack. SCSC specimens were submerged and stored for one year in a sodium sulfate solution. The microstructure of SCSC was investigated using quantitative X-ray diffraction and SEM analysis performed on samples taken from both the core and surface of the specimens. Also, the impact of different percentages and sizes of recycled aggregates (i.e., varying from nano- up to micro-sized aggregates) on the microstructural properties of SCSC exposed to sulfate attack was evaluated. …

Does What Happens In Vegas Increase Pedestrian Safety? A Longitudinal Study On The Effectiveness Of Pedestrian Bridges, Jalen Paulos, Jalen Paulos, Joaquin Del Mundo, Brock Wentz

School of Medicine Research Poster Showcase

Urban populations continue to rise and the frequency that pedestrians are exposed to vehicular traffic continues to increase. The result is an increase in automobile versus pedestrian collisions. This study aims to determine the efficacy of pedestrian bridges in reducing the rates of automobile-pedestrian collisions. Data for all automobile versus pedestrian collisions and injuries from July of 1997 through December of 2023 at four distinct intersections along Las Vegas Boulevard were retrieved from the Nevada Department of Transportation. These sites were chosen because of their historically high rates of automobile versus pedestrian incidents and the construction of pedestrian bridges at …

Fabrication Of Su-8 Electrically Actuating Membranes, Tyler James Adams

Theses and Dissertations

This work investigates SU-8 polymer waveguides as a fabrication platform for integrated optical structures. Surface roughening using oxygen plasma etching is used to induce controlled optical scattering, enabling direct observation of guided modes and providing insight into waveguide behavior. Building on this, waveguide geometry is modified through an elevated scattering region (ESR) design, which reduces transition losses and improves scattering efficiency by preserving optical volume within the guiding region. In parallel, suspended SU-8 membranes are fabricated and evaluated for mechanical stability, providing a platform for integrating optical structures beyond conventional substrate-bound configurations. These membranes are further characterized under electrostatic actuation, …

Democratizing National Water Model Streamflow Forecasts Through Cross-Platform Mobile Application Development, Jerson J. Garcia

Theses and Dissertations

The National Water Model (NWM) provides operational streamflow forecasts for 2.7 million stream reaches across the continental United States, yet technical barriers prevent widespread public access to this hydrological infrastructure. This paper presents RIVR (River Information Visualization and Risk), a cross-platform mobile application that transforms National Water Model forecasts into an accessible interface for non-technical users. Built with Flutter, the application deploys to iOS and Android from a single codebase and integrates NOAA forecast APIs, CIROH return-period thresholds, and interactive vector-tile mapping. Performance evaluation across six metrics: application size, startup time, memory consumption, rendering frame rates, API response times, and …

Landscaping Of Mcp: An Overview Of Mcp Mitigations And Tools, Arden Michel

Cybersecurity Undergraduate Research Showcase

The Model Context Protocol (MCP) has quickly become the standard for enabling agentic AI systems to interact with external tools, data sources, and services. Since its debut in 2024, MCP has been adopted by companies such as Google, Apple, Meta, and IBM. While this integration greatly improves the capabilities of large language models (LLMs), it also creates a new attack surface that the security community is only beginning to understand systematically.

A key architectural challenge is MCP's fundamental reliance on implicit trust: servers often run locally with high privileges, tool descriptions are accepted without question, and external servers are presumed …

Sulfuric Acid Mist Generation, Calculation, And Suppression Mechanism And Methods In Electrowinning: A Review, Ashish Kakoria, Mirza Muhammad Zaid, Guang Xu

Mining Engineering Faculty Research & Creative Works

This review discusses the events of acid mist production at the final stage of hydrometallurgical metal production in copper electrowinning. This review entails the complete process of oxygen bubble generation on the anode and its stages to form into acid mist at the surface of the electrolyte. When these bubbles burst at the solution/air interface, fine acid-containing liquid droplets become airborne and spread throughout the workspace, with the impact factors suppressing the acid mist produced during the process. Also, parameters such as bubble size, temperature, surface tension, and visco-elasticity also affect the acid mist. Sulfuric acid affects the tank houses …

Hypertext Transfer Protocol Fingerprinting: Techniques For Attacker-In-The-Middle Proxy Detection, Evasion, And Counter-Evasion, Jensen George Wood

Theses and Dissertations

Attacker-in-the-middle (AitM) phishing toolkits have emerged as a critical threat to enterprise and individual security by enabling adversaries to bypass multi-factor authentication (MFA) and compromise cloud-based accounts at scale. Traditional detection techniques--such as IP blocklists or content-based detection methods--are often ineffective against these increasingly sophisticated attacks. We propose a novel method that detects malicious proxies by identifying artifacts they introduce into HTTP request headers. To evaluate our approach, we systematically analyze traffic passed through several open-source AitM toolkits and proxies, identifying distinct modifications to header structures and content, then formalize these features as YARA rules for automated use. To validate …

Further Development Of A Low-Energy Arc-Ignition System For Nytrox/Abs Hybrid Propulsion Systems, Stephen A. Whitmore, Jared S. Coen, Ryan J. Thibaudeau

Mechanical and Aerospace Engineering Faculty Publications

Utah State University has developed a high-performance “green” hybrid propulsion technology based on the unique electrical breakdown properties of 3D-printed acrylonitrile butadiene styrene. Using 3D-printed ABS as fuel, typical startup sequences require approximately 5–15 joules and, once started, the system can be sequentially fired with no additional energy inputs required. The number of possible ignitions is limited only by the amount of fuel. The most technologically mature version uses gaseous oxygen (GOX) as oxidizer and 3D-printed ABS as fuel. While GOX is mass-efficient, it lacks volumetric efficiency unless highly pressurized. Nytrox, a blend of GOX and nitrous oxide, improves propellant …

Predictive Analytics In Oncology And Ophthalmology: Machine Learning Applications For Diabetic Retinopathy And Breast Cancer, Ali Abidalkareem

Electronic Theses and Dissertations

The convergence of artificial intelligence and healthcare represents one of the most transformative developments in modern medicine, with deep learning technologies emerging as powerful tools for addressing complex diagnostic challenges. This dissertation develops and validates machine learning frameworks that address critical challenges in medical diagnosis through innovative approaches to data augmentation, feature learning, and classification, focusing on two fundamental problems: Diabetic Retinopathy (DR) severity classification using multi-model convolutional neural networks (CNNs), and breast cancer stage identification using microRNA (miRNA) gene expression biomarkers. For diabetic retinopathy classification, this work proposes an ensemble deep learning framework that integrates Diffusion-based data augmentation for …

Path Planning And Control For Vertical Takeoff And Landing Aircraft, Dean Benjamin Anderson

Theses and Dissertations

One of the challenging problems of unmanned aerial vehicles (uav) is controlling vertical takeoff and landing (vtol) aircraft. Vtol aircraft can take off and land without landing strips while retain the efficiency of fixed-wing airplanes for long range flight. Unfortunately, the transition from takeoff and forward flight, and from forward flight to landing, is an extremely difficult control problem. Most current controllers for transition switch between flight regimes based solely on airspeed. The trajectory for such switching transitions is a straight vertical ascension followed by a straight forward startup flight; it does not allow for the development of more complex …

Limitations Of Signature-Based Network Intrusion Detection Under Modern Traffic Conditions, Henry Guidry

Cybersecurity Undergraduate Research Showcase

Network Intrusion Detection Systems are tools used to monitor network traffic and alert to suspicious or harmful activity before it can cause harm. Signature-based versions of these systems are a foundation for intrusion detection, operating by finding common patterns and forming malicious signatures. However, three developments in modern network environments have greatly impacted the significance of Network Intrusion Detection Systems. These three developments are the near-complete adoption of end-to-end encryption, the use of sophisticated packet fragmentation techniques, and the processing demands of high-throughput networks. Encryption makes deep packet inspection practically infeasible by transforming inspectable payloads into ciphertext, forcing NIDS to …

Evaluating Ai-Driven Sustainable Neuro-Urbanism Through A Human-Centered Framework: The Case Of Ras Elbar City, Egypt, Esraa Elazab, Ahmed Eltawil

Mansoura Engineering Journal

This study applies and evaluates a previously developed human-centered framework for AI-driven sustainable neuro-urbanism through a case study of Ras Elbar City, Egypt. Building on earlier conceptual research that integrated artificial intelligence (AI), neuroscience-informed design, and sustainability principles, this paper seeks to test the framework’s practical relevance in the context of a developing coastal city. Using qualitative evaluation methods, including field observation and spatial assessment, the research examines twelve key urban design elements such as green spaces, mobility networks, lighting, and soundscapes. Each element is analyzed across three dimensions: neuro-urbanism goals, AI integration, and sustainability outcomes. The findings show that …

Real-Time Data Collection System For Low-Cost Diesel Emissions Monitoring, Zachary Driskill

Theses and Dissertations

Diesel trucks are a major source of pollutants, including particulate matter (PM) and NO$_x$. Roadside emissions monitoring can identify high-emitting diesel vehicles, but conventional sensing systems rely on expensive, complex sensing instruments that limit widespread deployment. Low-cost sensors offer increased scalability due to their small size, low cost, and low power consumption, but they have lower accuracy and slower response time. This thesis presents the design and evaluation of a low-cost roadside emissions monitoring system, establishing the foundation for a scalable and widely deployable alternative. We apply machine learning calibration to roadside emission monitoring to improve the usability of low-cost …

Implementation And Evaluation Of Alternative Methods For Simulation Of Sidescan Sonar, Blake Paul Romrell

Theses and Dissertations

The original sonar implementation for the HoloOcean simulator was built upon a cached octree representation of the world. On first runs, building the cache was prohibitively slow, and the cache had a major memory footprint. This work presents alternative implementations for the sidescan sonar using direct raytracing on the CPU and rendering on the GPU. To evaluate and compare the implementations, timing tests on comparable parameters, as well as sweeps on resolution and range parameters, were performed. The render-based GPU implementation outperformed the others in the timing tests.

Engineering Problem Solving In First Robotics Competition, Jingyuan Fu

SACAD: Scholarly Activities

FIRST Robotics Competition is a program in which high school students design, build, and program robots for a new engineering challenge each year. Within that environment, robot development requires more than mechanical construction alone, since successful performance depends on strategy, subsystem integration, software development, and continuous iteration. This poster examines how game analysis shaped the robot’s overall development, including design priorities, system layout, material choices, and coding decisions. It also highlights how programming and tuning were used to improve subsystem performance and increase effectiveness in competition. This project demonstrates how the FIRST Robotics Competition can serve as a practical setting …

Electrophoretic Deposition Of Chitosan-Based Coatings On Magnesium Alloys For Implant Applications: A Review, M. H. Payampur, D. Azimi, W. W. Milligan, M. Razzaghi, H. R. Bakhsheshi-Rad, J. Drelich

Michigan Tech Publications

Magnesium (Mg) alloys are highly promising materials for biomedical applications due to their excellent mechanical properties and biocompatibility. However, their rapid corrosion in physiological environments remains a significant barrier to their use in implantable devices. Surface modification techniques, particularly chitosan (CS)-based coatings, have shown considerable potential in addressing these challenges. CS, as a biopolymer, not only reduces the corrosion rate of Mg alloys but also enhances their biological performance. Electrophoretic deposition (EPD) is a highly versatile technique that enables the uniform deposition of CS and CS-composite coatings on Mg alloys. This review provides a comprehensive analysis of depositing CS and …

Familybloom: Examining Ecologies Of Collaboration In Family-Centered Health Tracking, Lucas M. Silva, Aehong Min, Evropi Stefanidi, Franceli L. Cibrian, Jesus A. Beltran, Cassie Zeiler, Sabrina E. B. Schuck, Kimberley D. Lakes, Gillian R. Hayes, Daniel A. Epstein

Engineering Faculty Articles and Research

Family health informatics tools can help support well-being with shared data tracking. Prior work typically focused on shared data review, but often in specific moments, like bedtime, or centered on caregiving of children or elderly members. To investigate how tracking can support mutual health collaboration between family members pervasively across daily contexts, we designed and deployed FamilyBloom, a glanceable smartwatch and home display system for mood and goal tracking. Twelve families with both neurotypical and ADHD members used FamilyBloom for three months on average. Our findings reveal how family-centered tracking created collaboration opportunities and tensions across multiple ecological systems: individual …