Engineering Commons^™

The Effects Of Shot Peening Highly Loaded Compression Springs, David J. Breuer

15th International Conference on Shot Peening

The compression spring in this test study is typical of one used in a demanding off-road vehicle suspension. The cyclic loads applied during fatigue tests were severe enough to cause failure in approximately 11,000 cycles without shot peening.

The objectives of this study were the following: (1) Design a compression spring similar to those used in the off-road recreational industry. (2) Design & manufacture a fatigue test stand that could withstand high loads for months of testing. (3) Generate a matrix of shot peening treatments to produce different amounts of residual compressive stress. (4) Measure the shot peening residual compressive …

Novel Biomolecule-Infused Gelatin Injectable For Treatment Of Recurrent Laryngeal Nerve Injury, Ananya Tadikonda, Sunjay Anekal, Lena W. Chen, Gabriel Sobczak, Troy Wesson, Carmilya Jackson, Marisa A. Egan, Julie C. Liu, Patrick R. Finnegan, Stacey Halum

School of Chemical Engineering Faculty Publications

Objective

Unilateral vocal fold paralysis (UVFP) due to recurrent laryngeal nerve injury (RLN) is a major cause of voice disorders. We have recently identified three biomolecules (agrin, acetylcholine, and neuregulin) with the potential to promote reinnervation after RLN injury. This study aimed to determine if a gelatin injectable with the reinnervating biomolecules will induce site-specific amplification of neurotrophic factor release and reinnervation after RLN injury in unilateral vocal fold paralysis.

Methods

C57BL/6 mice underwent RLN transection with the following treatment allocations: saline control (N = 16), biomolecule cocktail only (N = 16), and biomolecule-infused gelatin (N = …

Robotic System With Tactile-Enabled Leaf Tracking For High-Resolution Hyperspectral Imaging Device For Autonomous Corn Leaf Phenotyping In Controlled Environments, Xuan Li, Ziling Chen, Raghava Uppuluri, Pokuang Zhou, Tianzhang Zhao, Darrell Zachary Good, Yu She, Jian Jin

School of Industrial Engineering Faculty Publications

Hyperspectral imaging of individual corn leaves provides valuable data for analyzing nutrient content and diagnosing diseases. However, existing leaf-level imaging techniques face challenges such as low spatial resolution and labor-intensive processes. To address these limitations, this study developed a robotic system integrated with a high-resolution line-scanning hyperspectral imaging device to autonomously scan a corn leaf. The hyperspectral imaging device used a vision-based tactile sensor for active leaf tracking throughout the scanning process, ensuring high image quality. Additionally, the device incorporated an in-hand leaf manipulation mechanism that ensured the leaf was properly positioned on the tactile sensing area at the start …

A Feasibility Study Into The Usability And Application Of An Unmanned Aerial Vehicle For Aircraft Inspection And Quality Assurance Inspections, Reece P. Bhave

Journal of Aviation Technology and Engineering

The global aviation industry is often characterized as one of the safest modes of transportation in the modern world. With an abundance of quality assurance inspections and checks to determine operations safety, modern-day commercial aircraft that are utilized for passenger and cargo flights are held to a higher safety standard defined by regulatory bodies, such as the Federal Aviation Administration in the United States of America and the European Union Aviation Safety Agency in the European Union. While these quality standards are maintained via a series of inspections, checks, and preventative maintenance procedures, they are limited to only visual or …

Activity Design Principles To Support Engineering Engagement For Families With Preschool-Age Children From Low-Income English-And Spanish-Speaking Communities, Scott A. Pattison, Smirla Ramos Montañez, Viviana López Burgos, Gina Svarovsky, María Quijano, Amy Corbett, Catherine Wagner, Diana Contreras

Journal of Pre-College Engineering Education Research (J-PEER)

Existing evidence highlights the significance of family STEM learning experiences during early childhood. However, there is a lack of research specific to early childhood family-based learning in the field of engineering, especially with preschool-age children (three to five years old). To address this gap and inform engineering education programs for young children, we conducted a design-based research study in collaboration with 15 Spanish-and English-speaking families with preschool-age children from low-income communities. Our study aimed to develop and test a series of family-based engineering design activities while also identifying underlying design principles. Guided by an asset-based family learning framework, which acknowledges …

A Test Rig For An Aircraft Propeller Powered By Battery Motor, C. M. Vigneswaran, J. Induja, K. S. Bharath, M. J. Spoorthi, R. Chethana

Journal of Aviation Technology and Engineering

The propeller test rig is a crucial component in aeronautical engineering that plays a vital role in the development, testing, and optimization of propeller systems for aircraft. This research outlines the design, development, and performance evaluation of a state-of- the- art propeller test rig developed for research and testing purposes. The primary objective of this project is to enhance the understanding of propeller dynamics and efficiency, leading to the improvement of aircraft propulsion systems. The test rig provides a controlled environment to evaluate and compare multiple propeller designs, aiding engineers in making informed decisions during the design process. An advanced …

A Framework For Test Planning Of A Vision System Supporting Aerial Refueling, Jonathon K. Parry, Donald H. Costello, Michael D. M. Kutzer, Charles J. Doherty, Sarah M. Hubbard

Journal of Aviation Technology and Engineering

This essay presents a framework for evaluating a computer vision system providing perception for an uncrewed aircraft completing the automated air-to-air refueling (A3R) task. As the Department of Defense acquires capabilities that exhibit increasing levels of autonomy, the test and evaluation community must adapt the current framework to provide airworthiness officials the information required to accurately access the risks associated with the system underdoing testing. Following a brief introduction to A3R, this essay lays out a testing framework that leverages dendritic analysis and effectively deconstructs the critical issue into measurable data elements that can be used to support test and …

A Technical And Statistical Analysis Of Unleaded Aviation Fuel (Ul94) Adoption In A High- Volume Collegiate Aviation Environment, Nicholas D. Wilson, Ryan Guthridge, Brandon Wild, Jeremy Roesler, Daniel Kasowski, Nick Geinert, Aaron Terbest, Aaron Fettig, Robert Kraus

Journal of Aviation Technology and Engineering

The University of North Dakota (UND) adopted unleaded aviation fuel (UL94) for approximately a four-month period in the summer and early fall of 2023. The UL94 fuel was used in all reciprocating engine fleets based at the university’s primary training airport, Grand Forks International Airport in North Dakota. During the operational implementation of UL94, the UND flew 46,600 flight hours, consuming 386,778 gallons of fuel across all fleets powered by Lycoming engines. After approximately two months of using UL94, operational reports and maintenance inspections began to indicate potential for exhaust valve seat recession (EVSR), although early indications were limited in …

Contributing Factors To Low Airspeed On Climb-Out As A Precursor To Loss Of Control In Flight, Owen D. Poborsky

Journal of Aviation Technology and Engineering

The nature of aviation is not without inherent risk. Conducting training flight operations increases these inherent risks. Flight data monitoring and voluntary safety action programs seek to reduce risk, as seen in their success at commercial airlines. These successes are slowly permeating into general aviation through programs such as the National General Aviation Flight Information Database (NGAFID). The NGAFID is a program funded by the Federal Aviation Administration that allows general aviation operators to have the ability to collect and share de-identified flight data on an aggregate level to identify trends and increase safety margins during flight operations. This study …

Research Synthesis Of Predicting Part 135 Accident Probability In Aviation: How The Bayesian Brain Ignores Declining Safety Standards, Jonathan R. Clarke

Journal of Aviation Technology and Engineering

Technological innovation has had an enormous effect on safety in aviation. However, in Part 135 operations, where technology is not as ubiquitous, the accident rates have plateaued. Human error is constantly misrepresented as being responsible for 70–80 percent of accidents, when it is clearly only one of several contributing factors. In commercial aviation, all accidents should be considered organizational failures, because by definition all defensive layers have been breached. Organizational failure, as it affects safety, should be identifiable and predictable from organizational behavior. Inevitably, in the aftermath of accidents the warning signs of poor behavior are seemingly obvious, yet there …

Enhanced Global Oil Spill Dataset From 1967 To 2023 Based On Text-Form Incident Information, Yiming Liu, Zhuoli Yin, Hua Cai

The School of Sustainability Engineering and Environmental Engineering (SEE) Faculty Publications

Knowing how much oil was released into the environment in each incident is critical to studying the environmental, ecological, and economic impacts of oil spills. However, the release amounts (RAs) for numerous oil spill incidents remain unavailable in a structured format for large-scale analysis. The most extensive global oil spill database, managed by NOAA’s Office of Response and Restoration, only documents the worst-case scenario estimations in the machine-readable dataset, while more accurate values are embedded within unstructured incident descriptions and subsequent updates. To enhance the dataset with more accurate RAs, we developed a framework to extract the actual RAs from …

Fourier-Feature Mlp Toolkit For Gpu-Accelerated Cardiac-Mri 4dcmr Strain Analysis, Aarnav T. Sabale, Marco A. Prado, Craig J. Goergen

Discovery Undergraduate Interdisciplinary Research Internship

This paper explores the embedding of a Fourier-Feature—enhanced multiplayer perceptron(MLP-FEE) at the heart of a newly refactored python workflow for four-dimensional cardiac-MRI strain quantification demonstrating how a single, compact network can outperform traditional convolution and spline-based methods. The original code, capable of orientation normalization, displacement tracking, and finite-difference strain computation, has been translated and consolidated into pytorch. By injecting sinusoidal positional encodings at the network’s input layer supplied a rich set of high-frequency basis functions hence enabling multilayer MLP to resolve gradients that cubic splines and conventional CNNs typically blur or struggle with. Profiling on an Apple-silicon GPU shows interactive …

Utilizing Wearable Technology To Improve Pots Diagnostic Testing, Monique Watson, Damen Wilson, Matthew Ward

Discovery Undergraduate Interdisciplinary Research Internship

Postural orthostatic tachycardia syndrome (POTS) is a form of dysautonomia characterized by a heart rate (HR) increase ≥30 beats/minute (bpm) within 10 minutes of standing from a supine position, without a significant blood pressure drop. POTS can diminish quality of life with symptoms including tachycardia, headaches, and fatigue. Despite established diagnostic criteria, POTS is often underrecognized or misdiagnosed due to its episodic nature. Symptoms may not consistently be present during diagnostic testing, leading to false negatives during in-office testing. Wearables offer a promising solution through continuous physiological monitoring. Individuals with hypermobile Ehler-Danlos Syndrome (hEDS), a population in which POTS is …

Improving Echocardiographic Aortic Aneurysm Assessment In Marfan Syndrome Patients, Joshua Paik, Shubh P. Mehta, Samskrithi Sivakumar, Felix Dinklage, Ahhyun Lee, Benjamin J. Landis, Craig J. Goergen

Discovery Undergraduate Interdisciplinary Research Internship

Marfan syndrome (MFS) is a genetic connective tissue disorder caused by a variant of the fibrillin-1 (FBN1) gene, leading to abnormalities in organs reliant on tissue elasticity. Proximal thoracic aortic aneurysms (TAAs) are a major clinical concern, particularly in pediatric MFS patients, due to their risk of dissection or rupture. Diagnosis and monitoring of TAAs often depend on manual measurements of aortic root diameters from the parasternal long axis views of transthoracic echocardiograms. However, this method is prone to interobserver variability (IOV), which impacts consistency in clinical assessment. To mitigate these limitations, we developed a graphical user interface (GUI) that …

Non-Destructive Strength Monitoring Of Air-Entrained Concrete Via Electromechanical Impedance Technology, Xiangrui Kong, Rui He

Discovery Undergraduate Interdisciplinary Research Internship

Accurate monitoring of concrete strength during curing is crucial, particularly in regions subject to harsh weather conditions, such as freeze-thaw cycles in Indiana. Air entrainment is crucial for durability, yet it can significantly reduce concrete strength, making timely and precise strength assessments vital. The primary objective of this study is to develop a non-destructive and real-time monitoring framework for evaluating mortar strength using electromechanical impedance (EMI) sensors and ultrasonic scanning technology.

This research holds significant value as it addresses the critical need for continuous, reliable concrete strength monitoring, potentially reducing reliance on destructive testing methods, which are costly and time-consuming. …

Discovering And Designing Novel Perovskite Photovoltaic Materials Via Machine Learning, Junyeong Ahn

Discovery Undergraduate Interdisciplinary Research Internship

Perovskite semiconductors are promising materials for high-efficiency photovoltaics due to their outstanding optoelectronic properties, emerging as a sustainable energy source through solar cell applications. Perovskites with the ABX₃ composition (A, B = metal or organic cations with varying oxidation states; X = chalcogen or halogen anions) have gained interest for their excellent phase stability and compositional tunability. However, combinatorial possibilities arising from the many choices of A, B, and X site species, and their respective mixing fractions, a large number of possible ABX₃ perovskites remain undiscovered. In this work, we used machine learning (ML) methods to design new stable and …

Sex-Dependent Differences In Cardiac Function And Strain In Doxorubicin-Induced Cardiomyopathy, Anna J. A. Webb, Bea O. Cabot, Aasish Chowdary, Wilhelm S. Smith, Benjamin Zeidler, Cortland H. Johns, Craig J. Goergen

Discovery Undergraduate Interdisciplinary Research Internship

Doxorubicin is a chemotherapeutic agent used to treat many types of cancer. While effective, doxorubicin can cause cardiomyopathy, a disease affecting the heart muscle. Although the effects of doxorubicin on the heart are well studied, the mechanisms leading to cardiomyopathy are not well understood. Previous studies have used murine models to study the cardiotoxicity of doxorubicin. These reports showed that cardiac dysfunction is more pronounced in male compared to female mice. The goal of this study is to further evaluate sex differences in doxorubicin induced cardiomyopathy using 4-dimensional strain mapping techniques. In this study, both female and male C57Bl/6J mice …

Is There A More Effective Design For Quadrat To Increase Ease Of Use And Vegetation Density?, Scott M. Burke Jr., Kristen M Bellisario

Discovery Undergraduate Interdisciplinary Research Internship

Quadrats are a special tool in the ecology field that allows the measurement of vegetation density for further data analysis of a habitat. The larger the quadrat cross-sectional area, the better the results of the data, which in turn can make the quadrat hard to carry through field sites. In wildlife corridor research, quadrat surveys provide a quantitative metric for habitat suitability. In this work, we consider the efficiency and ease-of-use benefits for field work in the design of a collapsible version of a quadrat using a House of Quality (standard metric for new design requirements) to assess the customer …

A Dna Damage Analysis Of Breast Cancer Cells Under Cyclic Mechanical Actuation, Maria C. Macias, Madison Howard, Luis Solorio

Discovery Undergraduate Interdisciplinary Research Internship

Metastasis is the leading cause of mortality in breast cancer, yet tumor cell behavior and their response to mechanical cues in the pre-metastatic niche remains poorly understood. This study investigates how breast cancer cells respond to strain mimicking lung tissue dynamics, with a focus on DNA damage. Using a custom-designed micro-actuating lung model, we cultured mApple at p53BP1 and H2B-GFP reporter cells on fibrillar fibronectin-coated substrates subjected to cyclic mechanical forces that simulate respiratory motion. A group of cells were treated with escalating concentrations of Niraparib (0.1–10 µM), a PARP inhibitor, as a positive control. To visualize and quantify DNA …

Photocatalytic Self-Pumping Membranes, Lily D. Farmer, David Warsinger, Sudharshan Anandan

Discovery Undergraduate Interdisciplinary Research Internship

The physics of nanofiltration is not well understood, as many types of membranes and filters exist, but they all interact very differently with the substance they are filtering. This research investigates membranes that can autonomously pump fluid through catalytic reactions. The first set of experiments was to collect zeta potential measurements as zeta potential is a critical property that directly affects fluid transport. Zeta potential was measured using the Anton Parr SURPASS 3, which measures the sample by streaming a given solution through a channel of membranes and uses the Smoluchowski equation to return the zeta potential value. Measurements were …

Stormwater Treatment Practices - Guidance For Maintenance And Targeting Pollutants, Peter T. Weiss

Stormwater Drainage Conference

Stormwater Drainage Conference

Biochar-Based Filtration And Barrier Systems For Urban Stormwater Treatment, Krishna R. Reddy

Stormwater Drainage Conference

Conference that deals a wide range of issues dealing with stormwater drainage. Professor Krishna Reddy of University of Illinois Chicago presented an invited talk titled "Biochar-Based Filtration and Barrier Systems for Urban Stormwater Treatment"

Comparative Analysis Of Loss Of Control Definitions, Owen D. Poborsky

Journal of Aviation Technology and Engineering

“Loss of control” (LOC) is a broad term in aviation used to describe an event or series of events that resulted in an accident or incident of an aircraft. Many definitions of LOC exist for aircraft while maneuvering on the ground and in the air. The purpose of this study is to synthesize the numerous LOC definitions found in the literature and from government and rulemaking organizations to better understand the importance of airspeed awareness as it relates to LOC events at low altitudes. Furthermore, emphasis shall be placed specifically on flight training within general aviation, as significant LOC statistical …

E-Taxi Technology: Assessing Operational Benefits And Sustainability In Modern Aviation, Arthur C. Dela Peña

Journal of Aviation Technology and Engineering

This study evaluates the operational benefits and sustainability impacts of electrically driven landing gear systems (e-taxi technology) in the aviation industry, focusing on the Philippine context. The objective was to assess improvements in fuel savings, emissions reductions, and maintenance costs associated with e-taxi systems. Using a mixed-methods approach, data were collected through interviews with airline operators, and secondary data were collected from industry reports. Results showed that e-taxi systems reduced taxiing time by 15–22%, fuel consumption by 150–180 kg per flight, and engine wear by 10–14%. Carbon emissions were reduced by 472–566 kg per flight, while noise levels decreased by …

Selective Anti-Tumor And Normal Tissue Sparing Effects Of Flash Radiotherapy In A Simple Algebraic Model Of Radiochemical Kinetics, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

Background: This short paper presents the solution to an open problem in medical physics: how and when FLASH radiotherapy can have a selective anti-tumor effect. FLASH radiotherapy gives a single large dose of ionizing radiation to a cancer patient within a time span of a few milliseconds, unlike conventional radiotherapy which is divided into several dose fractions given weekly, each lasting about 10 minutes. In some animal models FLASH seems to improve tumor cell killing without damaging normal tissues. However, the mechanism of the selective anti-tumor effect remains elusive. Methods: To explore effects of tissue hypoxia in tumors, a model …

Synergizing Stem And Ela: Exploring How Small-Group Interactions Shape Design Decisions In An Engineering Design-Based Unit, Deana Lucas, Emily Haluschak, Christine H. Mcdonnell, Selcen Guzey, Greg J. Strimel, Morgan Hynes, Tamara J. Moore

School of Engineering Technology Faculty Publications

While small group learning through engineering design activities has been shown to enhance student achievement, motivation, and problem-solving skills, much of the existing research in this area focuses on undergraduate engineering education. Therefore, this study examines how small-group interactions influence design decisions within a sixth-grade engineering design-based English Language Arts unit for multilingual learners. Multilingual Learners make up 21% of the U.S. school-aged population and benefit from early STEM opportunities that shape future educational and career trajectories. Grounded in constructivist learning theories, the research explores collaborative learning in the engineering design process, using a comparative case study design. Specifically, this …

On Closed-Form Preintegration For A Class Of Mixed-Invariant Systems In Seₙ(3), Li-Yu Lin, Kartik A. Pant, Benjamin Perseghetti, James Goppert

School of Aeronautics and Astronautics Faculty Publications

A large class of nonlinear systems in engineering and robotics evolves on geometric manifolds, such as fixed-wing aircraft, quadrotors, etc., whose kinematic motion can be described using Lie groups, in particular SEn(3) . The existing techniques involve numerical integration methods such as Runge-Kutta integration to propagate their motion forward in time. However, these methods are approximate solutions and do not respect the geometric constraints of the nonlinear differential equation, leading to higher computational costs and numerical integration errors. To this end, we propose a geometric closed-form approach to solve the initial value problem for a class of nonlinear systems that …

From Context To Connection: Client Letters In Stem Integration Curricula, Christine Mcdonnell, Imani N. Adams, Morgan Hynes, Selcen Guzey, Mary K. Pillotte, Greg J. Strimel, Kristina M. Tank, Tamara J. Moore

School of Engineering Technology Faculty Publications

Real-world contexts play a crucial role in engaging students and promoting disciplinary synergy in integrated STEM education. One underexplored pedagogical tool for supporting such integration is the “client letter”—a narrative device used to frame engineering design challenges around authentic, real-world problems. This study investigates the role of client letters in synergizing knowledge within immersive engineering design-based STEM integration curricula. We conducted a qualitative document analysis of 107 client letters embedded in 18 freely available K-12 STEM integration curricular units. Using a theoretical framework that aligns immersive education principles with the STEM Integration Framework, we analyzed how these letters support curricular …

Safe Human–Robot Collaboration With Risk Tunable Control Barrier Functions, Vipul K. Sharma, Pokuang Zhou, Zhengtong Xu, Yu She, S. Sivaranjani

School of Industrial Engineering Faculty Publications

In this article, we consider the problem of guaranteeing safety constraint satisfaction in human–robot collaboration (HRC) with uncertain human position. We pose this problem as a chance-constrained problem with safety (chance) constraints represented by uncertain control barrier functions, where the probability of safety constraint satisfaction under uncertainty is bounded by a tunable user-defined risk. We solve this stochastic optimization problem using a sampling-based approach and obtain a risk-tunable controller to safely accomplish HRC tasks. We demonstrate the safety and performance of this approach through both simulation and hardware experiments on a 7 degree-of-freedom Franka–Panda manipulator and characterize the tradeoff between …

Selected Artificial Intelligence Provisions In U.S. Fiscal Year 2025 National Defense Authorization Act, Bert Chapman

Libraries Faculty and Staff Presentations

The 2025 Fiscal Year National Defense Authorization Act contains multiple provisions relating to artificial intelligence (AI). These congressionally mandated provisions direct various sections of the Department of Defense (DOD) and individual U.S. armed service branches to execute congressional intent for AI policymaking. Examples of such intent include identifying and planning DOD's AI workforce, demonstrating AI biotechnology applications for national security, improving the human usability of AI systems, and establishing an AI security center. This presentation will note that reports on these initiatives must be prepared for relevant congressional oversight committees, and, in many cases, are in many cases, publicly released …