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

Engineering Commons

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

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 4681 - 4710 of 195925

Full-Text Articles in Engineering

Proceedings Of The Eleventh Annual Indiana Stem Education Conference: Stem Journeys, William S. Walker Iii, S. Selcen Guzey Jan 2026

Proceedings Of The Eleventh Annual Indiana Stem Education Conference: Stem Journeys, William S. Walker Iii, S. Selcen Guzey

Indiana STEM Education Conference

The Proceedings of the Eleventh Annual Indiana STEM Education Conference are edited by the Center for Advancing the Teaching and Learning of STEM (CATALYST, https://www.education.purdue.edu/catalyst/) at Purdue University. The theme for the 2026 conference is STEM Journeys, celebrating the multiple pathways and experiences that advance student learning in STEM education.


Renewable Energy Innovation: A Mathematics-Driven Integrated Stem Approach For K-12 Classrooms, Humphrey Chinenye Ochulor, Dayat Hidayat Jan 2026

Renewable Energy Innovation: A Mathematics-Driven Integrated Stem Approach For K-12 Classrooms, Humphrey Chinenye Ochulor, Dayat Hidayat

Indiana STEM Education Conference

This research brief presents Renewable Energy Innovation (REI) as a mathematics-driven Integrated STEM (iSTEM) approach for engaging upper elementary and middle school students to design, analyze, test, and refine solar cars and wind turbines through mathematical modeling (MM) and problem solving (PS). Research suggests that renewable energy activities support students’ abilities to design systems, quantify variables, construct multiple representations, and refine mathematical models to clarify relationships between energy output and design features. Positioning mathematics as the driver in REI iSTEM engineering design contexts aligns with the Common Core State Standards for Mathematics and foregrounds mathematics as a primary organizing discipline …


Stem Integration Through Environmental Data Analysis For Real-World Problem Solving, Abigail Erskine Jan 2026

Stem Integration Through Environmental Data Analysis For Real-World Problem Solving, Abigail Erskine

Indiana STEM Education Conference

Integrating authentic, environmental-based data can make STEM instruction more meaningful. As part of a broader high school STEM curriculum, I designed a lesson that connects mathematical and statistical concepts, technology, and environmental data through environmental data analysis to develop real-world problem solving. Using local deer mortality data, I examined how descriptive statistics and data interpretation could reveal population and ecological patterns. Designing with real data highlighted how mathematics can serve as a lens for understanding environmental issues and promote connections across STEM disciplines. This research brief focuses on the instructional design and reflection as the lesson designer.


Breech Baby, Madison Kaufman, Cassidy Allen, Lilian Mills Jan 2026

Breech Baby, Madison Kaufman, Cassidy Allen, Lilian Mills

Williams Honors College, Honors Research Projects

Our project aims to develop a non-invasive device to assist in turning breech babies to a head down position before delivery. Pregnant women facing breech presentations often need safe and effective solutions, yet current options like external cephalic version (ECV), maternal positioning techniques, and cesarean sections can present challenges. Key barriers include variability in maternal and fetal anatomy, patient comfort, compliance, and training for healthcare providers, along with cost and insurance concerns.

Our innovative device will address these issues by providing clear guidance and support throughout the process. It will prioritize minimizing discomfort and risk, ensuring adaptability for various stages …


From Coursework To Research: A Scalable Model For Student-Industry Ai Collaboration, Hyeong Kyun Park, Andrew Joon Cha Jan 2026

From Coursework To Research: A Scalable Model For Student-Industry Ai Collaboration, Hyeong Kyun Park, Andrew Joon Cha

Indiana STEM Education Conference

Preparing students for advanced technical careers requires more than foundational theory; it demands a shift to genuine research methodology. With the rising need for university-industry partnerships in AI innovation, this case study dissects a successful student-industry AI engineering collaboration project and transforms it into an essential preparation model easily adopted by technology personnel. The student participants include undergraduate and graduate engineering, data science, and computer science students working directly with practicing industry AI engineers. While universities publish most AI research and generate higher-novelty work, industry contributes state-of-the-art models, large datasets, and computational resources. Students gain research readiness, data literacy, and …


Undergraduate Student Support Survey And Scoring Guide, Kerrie A. Douglas, Adrian Gentry, Julie P. Martin, Tiantian Li Jan 2026

Undergraduate Student Support Survey And Scoring Guide, Kerrie A. Douglas, Adrian Gentry, Julie P. Martin, Tiantian Li

School of Engineering Education Working Papers

No abstract provided.


Nail Salon Appointment Management System., Alexander Tran Jan 2026

Nail Salon Appointment Management System., Alexander Tran

Williams Honors College, Honors Research Projects

I will create an appointment management system for my family's nail salon. This will contain a database and tables that keep track of data of the employees, customers, and the receptionist to make it easier to book appointments for the nail salon. This was originally made to create an appointment system because I have family members who don't understand technology well and wanted to make something simple and intuitive for anyone to use, since the appointment system that we currently use is extremely off the cuff, and this should remedy that.


Length Modulatin Hip Implant, Ethan Smith Jan 2026

Length Modulatin Hip Implant, Ethan Smith

Williams Honors College, Honors Research Projects

Leg length discrepancy is a well-documented complication of total hip arthroplasty, commonly known as hip replacement surgery. Even small differences in leg length can lead to an altered gait, increased joint stress, and long-term postural issues that may affect a patient’s overall mobility and comfort. The current method for correcting this discrepancy often involves a follow-up surgical procedure, which extends recovery time and increases the physical and financial burden on the patient. To address these shortcomings, we developed a concept for an adjustable hip implant that can be lengthened noninvasively after surgery. The design incorporates an internally housed battery and …


Analysis Of Sessile Drop And Captive Bubble Contact Angle Measurements On Metallic And Hydrophobic Surfaces, Jack H. Darnell Jan 2026

Analysis Of Sessile Drop And Captive Bubble Contact Angle Measurements On Metallic And Hydrophobic Surfaces, Jack H. Darnell

Williams Honors College, Honors Research Projects

Contact angle measurements are widely used to characterize surface wettability and determine changes in surface energy, yet the choice of measurement technique can significantly influence the results. This study compares the sessile drop and captive bubble methods for measuring contact angles of sodium dodecyl sulfate (SDS) solutions on carbon steel, stainless steel, and a hydrophobic wafer. Additionally, the time‑dependent wetting behavior of water, SDS, polysorbate 20 (commercial name Tween 20), and rhamnolipids on a hydrophobic wafer was evaluated over a five‑minute period. Results show that the sessile drop method consistently produced higher contact angles than the captive bubble method on …


Surface Immobilization Of Stimuli-Responsive Polymers Using A Network Of Aminopropyltriethoxysilane, Walter Bungard, Ryan Nixon Jan 2026

Surface Immobilization Of Stimuli-Responsive Polymers Using A Network Of Aminopropyltriethoxysilane, Walter Bungard, Ryan Nixon

Williams Honors College, Honors Research Projects

The goal of this honors project is to develop a cost-effective and accessible method for entrapping stimuli-responsive polymers onto solid substrates using aminopropyltriethoxysilane (APTES). The entrapment network process will first be replicated on glass or silicon using APTES and poly(N-isopropylacrylamide), involving spin coating and thermal annealing to chemically bond the polymer to the substrate. Once validated, the method will be applied to other stimuli-responsive polymers, including thermo-responsive, electroactive, and pH-sensitive types, with APTES as a control. For each sample, film stability, responsiveness, and surface behavior will be evaluated using contact angles, optical microscopy, and spectroscopic analysis, followed by statistical evaluation. …


The Impact Of Surveying, Nicholas A. Cosper Jan 2026

The Impact Of Surveying, Nicholas A. Cosper

Williams Honors College, Honors Research Projects

My project consists of three parts. The first part will be helping the public. To do this I will be helping the Boy Scouts earn their surveying merit badge. This badge is known to be one of the hardest for scouts to obtain. In the next part of my project, I will be running a 3-wire level on the Davey Tree Seed Campus. This project will be extremely useful to them (the rest of this information is confidential). In the final part of my project, I will be conducting a topographical survey for the Cuyahoga Valley National Park for a …


Effects Of Coupling Agents On An Epoxy Coating And Consequent Corrosion Resistance Of Carbon Steel, Breck A. Mooney Jan 2026

Effects Of Coupling Agents On An Epoxy Coating And Consequent Corrosion Resistance Of Carbon Steel, Breck A. Mooney

Williams Honors College, Honors Research Projects

This project will include the determination of how coupling agents affect corrosion resistance on select carbon steel when combined with a polymer coating. This research will explore 2 different silane coupling agents: 3-aminopropyltriethoxysilane (APTES) and 3-glycidoxypropyl-trimethoxysilane (GPTMS). 1 polymer coating, Bispenol A diglicidyl ether (BADGE), will be explored as well. These coatings will be applied to select carbon steels in various ratios to determine their effects on corrosion.


Network Merge, Alexander York Jan 2026

Network Merge, Alexander York

Williams Honors College, Honors Research Projects

This project will be simulating the merge of two company's networks. Company A will contain two sties connected with a VPN, and will extend this VPN to one site for Company B. This project will focus on researching how merging a network works, how routes are commonly redistributed across different routing protocols, and how each site can run their own but link servers(DHCP, DNS, etc.). Both sites will be secured from both outside and inside attacks through passwords and other network security features such as VLANs & BPDU Guard.


Adaptive Lighting System, Jacob Samerdak, Ethan Schwartz, Brandon Breen, Matthew Carozza Jan 2026

Adaptive Lighting System, Jacob Samerdak, Ethan Schwartz, Brandon Breen, Matthew Carozza

Williams Honors College, Honors Research Projects

The Adaptive Lighting System is a modular network of components that requires minimal installation in homes. Additionally, all components of the system communicate wirelessly and interface with a mobile application. The system utilizes occupancy and daylight sensors to detect the environment of a room and adjust the lighting accordingly. The system detects ambient lighting as well as occupancy within a room. Using the data collected from the sensors, the system adjusts lighting temperature, color, and brightness. The user can also manually control these settings. The Adaptive Lighting System aims to help regulate circadian rhythm, so there is a configuration in …


Breaking The Vapor Barrier And Scale: Revolutionizing Steel Quenching With Ultrasound Technology, Anthony O. Santos Jan 2026

Breaking The Vapor Barrier And Scale: Revolutionizing Steel Quenching With Ultrasound Technology, Anthony O. Santos

Williams Honors College, Honors Research Projects

The quenching process is a fundamental heat treatment used to enhance material properties by heating steel to its austenitizing temperature and rapidly cooling it to form high-strength martensite. However, this process is often hindered by two surface barriers: the Leidenfrost effect (vapor blanket) and oxide scale. These cooling limitations restrict the use of steel in high-performance aerospace applications due to inconsistent material properties and unpredictable engineering properties. This research investigates the use of fully submersible, 50-watt 40 kHz ultrasound technology to improve cooling rates in a Jominy test [4]. Through numerical simulations and experimental validation, the study demonstrates that acoustic …


Analyzing Network Traffic Utilizing Aws Developer Tools And Artificial Intelligence, Michael K. Spatafore Jan 2026

Analyzing Network Traffic Utilizing Aws Developer Tools And Artificial Intelligence, Michael K. Spatafore

Williams Honors College, Honors Research Projects

Alert fatigue occurs during long hour shifts and high stress situations. Constant notifications and on-call shifts can create overstimulation and desensitization, which leads to delay responses and increased vulnerability. Malicious actors have weaponized alert fatigue by storming a network with a vast number of low-priority events to mask their malicious activity, also known as alert storming. This project focuses on the reduction of alert fatigue by automating log analysis with Large Language Models. The project uses Amazon Web Service and its many features, such as Amazon GuardDuty, Lambda, and Bedrock. Amazon GuardDuty detects anomalies, then lambda sends those anomalies to …


Optimized Returning Floating System (Orfs/Orfeus), Jordan A. Mcclelland, Adam J. Belluardo Jan 2026

Optimized Returning Floating System (Orfs/Orfeus), Jordan A. Mcclelland, Adam J. Belluardo

Williams Honors College, Honors Research Projects

We are developing a proof-of-concept modified guitar tremolo system for an electric guitar that can automatically optimize tuning adjustments when a player transitions between tuning schemes using a cam system. Currently, changing tunings takes about 10–15 minutes because adjusting the tension on one string affects the tension of the others. Our design aims to compensate for these interactions and significantly reduce the time required to switch tunings.


Large Telescope Mount For Long Exposure Photos, Payne M. Landis, Anna J. Gray Jan 2026

Large Telescope Mount For Long Exposure Photos, Payne M. Landis, Anna J. Gray

Williams Honors College, Honors Research Projects

When viewing the stars through a telescope, it is common that the object you are viewing drifts out of view. Many amateur astronomers seek to capture long exposure images of the stars, planets, and galaxies with commercially available sky tracking telescope mounts. The complication is that these telescope mounts are both incredibly expensive and have low weight limits. These issues limit accessibility to these products based on the telescope. For each person, telescope parameters determine the amount of light and magnification that can be viewed, which then determines exposures time for adequate photo results. The options on the market for …


Optimization Of Post-Processing Methods For Additively Manufactured Metals, Julia R. Carano Jan 2026

Optimization Of Post-Processing Methods For Additively Manufactured Metals, Julia R. Carano

Williams Honors College, Honors Research Projects

Ultrasonic Nanocrystal Surface Modification (UNSM) is a process used to change the surface hardness of flat-faced materials. It is a machining process using a high-powered laser and a blunt-tipped tool at high speeds which aims to improve the uniformity of the surface on most metals. By heating and pressing the surface of the workpiece, the grains of the material become less rounded and more cohesive on a microscopic level. This, ideally, results in a workpiece with improved material properties. The changes were previously observed through hardness testing.


Thermal Radiation Effects On Particles From Plasma Arc Radiation, Reece Davis, Joseph Mcgee Jan 2026

Thermal Radiation Effects On Particles From Plasma Arc Radiation, Reece Davis, Joseph Mcgee

Williams Honors College, Honors Research Projects

Understanding the radiation heating and transport of both microparticles and nanoparticles is a phenomenon that is critical for both space and Earth sciences. In space, these particles are heated by plasma arcs within ionized space clouds or solar flares and can be present the path of deep space missions and orbital satellites. While on Earth, processes such as forest fires, nuclear fusion, and microchip manufacturing include the plasma arc heating of particles. These particles lay within the Mie Scattering Regime and Rayleigh Scattering Regime and emit radiation differently based on their diameter. New mathematical and computational modeling has been conducted …


Dashboard And Racing Telemetry, Cole Barach, Jacob Koshel, Ethan Zifzal, Matthew Sullivan Jan 2026

Dashboard And Racing Telemetry, Cole Barach, Jacob Koshel, Ethan Zifzal, Matthew Sullivan

Williams Honors College, Honors Research Projects

The main goal of the project is to design and manufacture a combined dashboard and data logger for the vehicles produced by the Zips Racing design team. The dashboard will intuitively display real-time information to the driver and record all received information while driving. This information may be pulled off the device later for performing data analysis. This project will incorporate custom PCB design, surface mount soldering, embedded software development, and the CAN communication protocol.


Akron Soap Box Derby Super Kids Car, Alexis Schultz, Cooper Sites, Sean Stevenson Jan 2026

Akron Soap Box Derby Super Kids Car, Alexis Schultz, Cooper Sites, Sean Stevenson

Williams Honors College, Honors Research Projects

This project aims to redesign the All-American Soap Box Derby Super Kids vehicle to enhance safety, accessibility, and performance while maintaining full compliance with official regulations. The Super Kids program enables children with physical and cognitive disabilities to race alongside a co-pilot, but the current vehicle design presents challenges in stability, entry/exit accessibility, and control—especially following recent regulation changes that increased vehicle speed. The redesigned car will focus on improved ergonomics, lightweight construction, and structural integrity within a $1,000 budget and a 165 lb weight limit.

An iterative engineering design process will guide the project through research, CAD modeling, FEA …


Aquaflow Pro, Ashton Henley, Jeannie Fritz, Khalin Rubbo Jan 2026

Aquaflow Pro, Ashton Henley, Jeannie Fritz, Khalin Rubbo

Williams Honors College, Honors Research Projects

Changing aquarium water is a hassle, and when done incorrectly, it will result in changes in water quality and potential harm to aquatic life. Aquarium water changes are crucial in removing toxins such as ammonia, nitrites, and nitrates. There is a need for an automated, stressless fish tank water-changing solution that ensures aquatic safety. To this end, an automatic temperature-controlled fish tank water changing system was designed, carrying out a water change for a designated main tank in which water heated within an inbound reservoir is pumped into the tank to replace the outbound water, responding to both the tank’s …


Development Of A Signature Model For Predicting Normal Boiling Point Using Machine Learning, Mackenzie Karabin Jan 2026

Development Of A Signature Model For Predicting Normal Boiling Point Using Machine Learning, Mackenzie Karabin

Williams Honors College, Honors Research Projects

The goal of this project was to utilize the Signature molecular descriptor to construct a predictive model for computing the normal boiling point using a 4856-compound dataset. The final model intends to be applied to screening compounds whose experimental normal boiling point values are not readily available. Compounds were deconstructed into their height-1 atomic Signatures, resulting in 225 unique descriptors for the dataset, which were used as independent variables for creating the model. Machine learning (ML) techniques were employed to evaluate the applicability and accuracy of different ML models for predicting normal boiling point using the Regression Learner App in …


Computer-Aided Molecular Design To Identify More Environmentally Friendly Pfas, Melvin M. Keita Jan 2026

Computer-Aided Molecular Design To Identify More Environmentally Friendly Pfas, Melvin M. Keita

Williams Honors College, Honors Research Projects

The goal of this project is to inversely design alternatives to per- and polyfluoroalkyl substances (PFAS) using Computer-Aided Molecular Design (CAMD). PFAS, also described as “forever chemicals”, have been used in industry and consumer products since the 1940s. PFAS can be found in drinking water, food, food packaging, waste sites, and other sources. Exposure to different PFAS can lead to increased risks of some cancers, immune effects, and reproductive effects. Pulling from existing data, this project will use quantitative structure-property relationships (QSPRs) to design PFAS alternatives that possess optimal properties to prevent adsorption into drinking water and other potential sources …


Kruss Modifications, Anderson W. Howard Jan 2026

Kruss Modifications, Anderson W. Howard

Williams Honors College, Honors Research Projects

My project focuses on modifying a test device in the AETL to allow for high temperature test to be performed. I am also adding modifications to make it safer to perform tests using the high-pressure system.


C. Difficile Detection Method For First Responder Glove Application, Alli N. Senedak Jan 2026

C. Difficile Detection Method For First Responder Glove Application, Alli N. Senedak

Williams Honors College, Honors Research Projects

Clostridioides Difficile (C. diff) is a Anaerobic Gram-positive bacillus that is capable of spore formation, making it difficult to control its spread and duration in clinical environments. This phenomenon can provide danger to first responders, healthcare workers, and patients. The goal of this project is to create a biosensor capable of detecting C. diff in a clinical setting that can be applied to a glove apparatus. The project will involve the use of C. diff aptamers activated on the surface of an electrode. Once surface activation has been verified via surface analysis, the electrodes will be exposed to C. diff …


Predictive Structural Modeling In Ansys And Destructive Testing For Composite Structures, Dylan Matthews, Grant Abraham, Andrew Raineri Jan 2026

Predictive Structural Modeling In Ansys And Destructive Testing For Composite Structures, Dylan Matthews, Grant Abraham, Andrew Raineri

Williams Honors College, Honors Research Projects

Composite structures are central to the performance and reliability of Zips Racing’s Formula SAE vehicles, yet the team currently relies on historical data and partially unvalidated assumptions when selecting carbon fiber layups. This project aims to establish a quantitative, experimentally validated framework for designing composite components through the integration of simulation modeling, physical fabrication, and destructive mechanical testing. Analytical laminate theory models developed in MATLAB and laminate simulations created in Ansys ACP will be used to predict stiffness, strength, and failure characteristics for a range of candidate layups. These predictions will be validated through controlled testing of fabricated composite coupons …


Clear Skies, Avery C. Munn Jan 2026

Clear Skies, Avery C. Munn

Williams Honors College, Honors Research Projects

Air quality impacts public health, environmental sustainability, and quality of life. However, accurate and easily accessible short-term air quality forecasting is challenging to find. This project, Clear Skies, presents a machine learning–based system for forecasting next-day Air Quality Index (AQI) levels across regions in Ohio. By using historical pollutant data with variables such as temperature, humidity, wind speed, and atmospheric pressure, the system finds relationships that traditional statistical models often don’t show.

Machine learning models are evaluated alongside AI techniques to find the environmental factors that influence AQI predictions. This helps reduce the “black box” nature of many AI systems …


Impact Of Natural Disasters On Construction And Engineering Solutions, Karima Ao Damson Jan 2026

Impact Of Natural Disasters On Construction And Engineering Solutions, Karima Ao Damson

Williams Honors College, Honors Research Projects

This Honors Research Project seeks to research and explain the impact of natural disasters on the construction and reconstruction of infrastructure in countries with the highest risk of natural disasters and compare them to the requirements in the United States in the states most prone to natural disasters. The objectives are to identify the countries most prone to natural disasters, describe the environmental impacts of the natural disasters, describe the impacts on construction and reconstruction requirements, and research whether construction and civil engineering solutions currently applied to the individual countries could be improved or reproduced in other countries exposed to …