Engineering Commons^™

Mems 411: Pipe Climbing Robot, Trevor S. Gilkerson, Nick M. Gunter, Phillip H. Le, Andru N. Mangkusubroto

Mechanical Engineering Design Project Class

Decreasing chemical plant emissions allow systems to become safer, less polluting, and more profitable. Pipe leaks in chemical plants, or fugitive emissions, are a significant source of lost product and safety hazard for workers. Working with Amaren's Maryland Heights natural gas power plant, the team developed a robot that can traverse pipe systems with a final goal of detecting chemical leaks.

Mems 411: Ball Bearing Sorting Device, Claudia Markel, Max Cusick, Tomás Collado

Mechanical Engineering Design Project Class

Ball bearings are an integral part of many products, including cars, planes, and appliances. However, when bearings of multiple sizes and materials are mixed together, they can be difficult to separate quickly. Sorting the ball bearings becomes even more of a challenge for people who are not able to see the difference in color to discern the materials. To solve this problem, a ball bearing sorter, which can separate bearings of 1 2 in and 1 4 in for the materials of steel, brass, and plastic, was created. This project was based on the American Society of Mechanical Engineers 2024-2025 …

Mems 411: Water Surface Tension Breaker, David Arthur D'Alessandro Iii, Ben Davis Miller, Jared Ethan Appel, Parker Monnig

Mechanical Engineering Design Project Class

Design a device that sufficiently stirs up the pool's surface for WashU's Swim and Dive team.

Mems 411: Custom Surfacing Machine, Katherine Minielly, Gaelen Clayton, Estela Villacis

Mechanical Engineering Design Project Class

Our project is in partnership with DeepSight, a startup working to revolutionize medical imaging through proprietary ultrasound sensing technology. Our objective is to create a custom surfacing machine to finish a critical ultrasound component. DeepSight’s new ultrasound system includes an aluminum component that requires a high degree of perpendicularity and a sub-micron finish on one side. DeepSight provided us with an existing grinding machine to retrofit to surface the aluminum part. Our goals were a surface roughness ofmicron, a surface perpendicularity ofmicrons, and the ability to process 3 parts inpart’s surface and ensure even surface wear. The part spins on …

Determining The Difference In Monthly Hazardous Uas Sightings Pre- And Post-Trust​, Jacob Daniel Anderson, Kyle Beane, Ethan Ryan Prins, Brooke Wheeler

Aeronautics Student Publications

Unmanned Aerial Systems (UASs) present a significant challenge to regulators. This study determined that there was no statistically significant difference in monthly UAS sightings before and after the implementation of TRUST.

Investigating The Relationship Between Population Density Surrounding An Airport And The Number Of Wildlife Strikes Per Operation., Alexandra E. Rowe, Daniel Alves, Evan Park, Brooke Wheeler, Vivek Sharma

Aeronautics Student Publications

This study compared the relationship between population density surrounding an airport and reported wildlife strikes per operation. A very weak correlation with no statistical significance was determined which emphasizes the need for future research on wildlife mitigation strategies and understanding wildlife patterns.

Cloudy Views: Collegiate Flight Students Rated Employability Of Cfi Applicants By Experience And Gender, Kaylee A. Crispe, Esther Renee Wilson, Sihong Park, Brooke Wheeler, Vivek Sharma

Aeronautics Student Publications

After surveying core aeronautics classes, it was determined that there was a difference in employability by scenario. Scenarios with high flight time were rated higher than those with low flight time.

Complex Precipitation Behavior In A Co-Free High Entropy Alloy During Aging, Matthew Luebbe, Fan Zhang, Jonathan D. Poplawsky, Jiaqi Duan, Haiming Wen

Materials Science and Engineering Faculty Research & Creative Works

High entropy alloys (HEAs) demonstrate high strength, thermal stability, and irradiation resistance, making them desirable for applications in nuclear reactors and other harsh environments. Many existing HEAs contain cobalt (Co), which makes them unsuitable for nuclear applications due to the long-term activation of Co. A previously studied Co-free alloy, (Fe_0.3Ni_0.3Mn_0.3Cr_0.1)₈₈Ti₄Al₈, exhibits high strength but compromised ductility due to its network of brittle precipitates upon aging. This work investigates the formation mechanism and evolution of the precipitates, including L1₂ (Ni₃Ti type, ordered face-centered cubic …

Nasa Microgreen Cultivation In Space Utilizing Pegda Hydrogels, Thomas Alarcon Ali, Zohaib Gabriel Khan, Ariel Marroquin, Samuel Martinez, Fabiha Samiha, Emily Yong

Publications and Research

During long-term space expeditions, it is crucial that astronauts receive the nutrients they need to maintain their overall health. While the current space diet of palatable foods is commendable and constantly evolving, nutritional content and food quality degrades over long durations. Microgreens are excellent candidates for space cultivation because they are nutrient-dense, young plants that are are densely grown and harvested when leaves are just emerging. However, antigravity, microgreen fragility, degradation speed, contamination, and limited water resources are substantial barriers to doing so. This study aims to address these challenges by cultivating microgreens inside a hydrogel, a soilless medium, to …

Valve Train Design And Material Testing, Luis Luna

Publications and Research

In automotive engineering, CAD software like SolidWorks enables engineers to design and simulate mechanical components efficiently, reducing the need for extensive prototyping. This project examines the rocker arm's performance and durability within a valve train system. Components like pushrods, camshafts, and rocker arms control air intake and exhaust timing. Due to its high-impact motion and exposure to elevated temperatures, the rocker arm endures considerable wear. This study uses SolidWorks and Finite Element Analysis (FEA) to analyze the rocker arm's stress, deformation, and wear potential during camshaft movement. Material testing and motion analysis results provide insights into improving the durability of …

Unpacking Bias, Accountability, And Ethical Practices In Ai, Manya Chandra, Micol Hebron

Student Scholar Symposium Abstracts and Posters

This study is based on understanding how text-to-image generative AI platforms perpetuate biases such as racism and sexism and decoding how this bias is programmed within large language models and datasets. In this study, the results of generative AI are analyzed through the lens of affect and affect theory, as they are applied to investigate the machine learning and computer theory behind generative AI algorithms. The purpose of the study is to explain why generative AI is biased and whether this bias is generated due to current trends or to deficits and biases within the database that it draws information …

Holomind: Engineering Mindfulness Through Holographic Display, Hannah Bauer, Jaime Song

Student Scholar Symposium Abstracts and Posters

Our research project, HoloMind, explores the potential of developing interactive experiences using a holographic display to engage the audience in relevant education, and wellness outcomes. To accomplish this aim we are using the Dreamoc HD3.2 by Realfiction, which provides a passive playback of preloaded 3D visuals. The first step in our methodology is to get familiar with the Dreamoc HD3.2 hologram, create 3D visuals, and uncover design guidelines and best practices for creating 3D visualizations. To create 3D visualizations, we are using Adobe Substance 3D Stager. Then, we adapt Realfiction’s template in Adobe After Effects to precisely fit the specific …

Winter Solstice Phenomenon At Newgrange: Research Report 2024, Frank Prendergast

Articles

This report, commissioned by the National Monuments Service presents a comprehensive analysis of the high-resolution photographic and video recordings of the solar illumination inside the burial chamber at Newgrange passage tomb, located within the UNESCO World Heritage Site of Brú na Bóinne – Archaeological Ensemble of the Bend of the Boyne.

Deciphering Mechanochemical Influences Of Emergent Actomyosin Crosstalk Using Qcm‑D, Emily M. Kerivan, Victoria N. Amari, William B. Weeks, Leigh H. Hardin, Lyle Tobin, Omayma Y. Al Azzam, Dana N. Reinemann

Faculty and Student Publications

Purpose: Cytoskeletal protein ensembles exhibit emergent mechanics where behavior in teams is not necessarily the sum of the components’ single molecule properties. In addition, filaments may act as force sensors that distribute feedback and influence motor protein behavior. To understand the design principles of such emergent mechanics, we developed an approach utilizing QCM-D to measure how actomyosin bundles respond mechanically to environmental variables that alter constituent myosin II motor behavior.

Methods: QCM-D is used for the first time to probe alterations in actin-myosin bundle viscoelasticity due to changes in skeletal myosin II concentration and motor nucleotide state. Actomyosin bundles were …

Developing A Nearly Automated Open-Source Pipeline For Conducting Computational Fluid Dynamics Simulations In Anterior Brain Vasculature: A Feasibility Study, Mostafa Rezaeitaleshmahalleh, Nan Mu, Zonghan Lyu, Joseph Gemmete, Aditya Pandey, Jingfeng Jiang

Michigan Tech Publications

Intracranial aneurysms (IA) pose significant health risks and are often challenging to manage. Computational fluid dynamics (CFD) simulation has emerged as a powerful tool for understanding lesion-specific hemodynamics in and around IAs, aiding in the clinical management of patients with an IA. However, the current workflow of CFD simulations is time-consuming, complex, and labor-intensive and, thus, does not fit the clinical environment. To address these challenges, we have developed a semi-automated pipeline integrating multiple open-source software packages to streamline the CFD simulation process. Specifically, the study utilized medical angiography data from 18 patients. An in-house open-source DL image segmentation model …

Carbon Nanotube-Enhanced Nanolubricants: Stability And Performance Improvements For Automotive Use, Sherif Elsoudy

Mechanical Engineering

Nanotechnology has been a promising technology over the years. Carbon nanotubes (CNTs) are one of the principal technologies that are developed in the nanotechnology sector. This study investigated the implementation of CNTs as additives in automotive lubricants, focusing on their impact on performance metrics. The dispersion of CNTs in lubricants is influenced by several factors, the most critical of which is the dispersion stability. Key findings include improved dispersion stability of CNTs in lubricants through adding surfactants like oleic acid, which effectively managed the aggregation issues. The CNT-enhanced lubricants exhibited superior tribological, thermophysical and rheological properties compared to the bare …

Substantial Gas Enrichment In Shales Influenced By Volcanism During The Ordovician–Silurian Transition, Yujie Yuan, Songtao Wu, Emad A. Al-Khdheeawi, Jingqiang Tan, Zhuo Feng, Zhenjiang You, Reza Rezaee, Han Jiang, Jun Wang, Stefan Iglauer

Research outputs 2022 to 2026

The substantial gas enrichment in shales of the Ordovician–Silurian transition is associated with the development of the organic matter (OM)-rich source rock. While organic matter enrichment has been linked to intensive volcanism, it remains a challenge to precisely evaluate the impact of the volcanism on substantial gas enrichment containing the largest gas storage capacity. This study focused on consecutive borehole shale samples from the Wufeng–Longmaxi formations during the Ordovician–Silurian transition in southern China. We conducted a comprehensive analysis, integrating the major geological volcanism with high-resolution analysis, including QEMSCAN, argon-ion SEM, thin-section examination, XRD mineralogy, TOC, Hg concentration, petrophysical properties and …

Machine Visual Perception From Sim-To-Real Transfer Learning For Autonomous Docking Maneuvers, Derek Worth, Jeffrey Choate, Ryan M. Raettig, Scott L. Nykl, Clark N. Taylor

Faculty Publications

This paper presents a comprehensive approach to enhancing autonomous docking maneuvers through machine visual perception and sim-to-real transfer learning. By leveraging relative vectoring techniques, we aim to replicate the human ability to execute precise docking operations. Our study focuses on autonomous aerial refueling as a use case, demonstrating significant advancements in relative navigation and object detection. We introduce a novel method for aligning digital twins using fiducial targets and motion capture data, which facilitates accurate pose estimation from real-world imagery. Additionally, we develop cost-efficient annotation automation techniques for generating high-quality You Only Look Once training data. Experimental results indicate that …

Water Permeation Through Single Sub-Micron Pores In Single Layer Graphene Measured By A Micro-Particle Image Velocimetry Technique, Samuel F. D. J. Gomez, Michael S. H. Boutilier

Chemical and Biochemical Engineering Publications

Graphene holds potential as a high permeance membrane material for separation applications owing to its single atom thickness. Transport rates through graphene pores ultimately determine membrane performance and are an area of focus of design efforts. In this regard, single pore flow rate measurements are desirable because they are not influenced by material defects present in large-area samples and are unaffected by modeling assumptions used in simulations. However, measuring liquid flow rates through single graphene pores is challenging. In this paper, we establish a micro-particle image velocimetry technique to measure flow rates through single pores or small permeable areas by …

Everyone Brings Something To The Table: A Culturally Sustaining Analysis Of Teacher Candidates’ Mixed Reality Teaching Simulations, Erin Scott

Faculty Publications

Discussions of HBCU students’ content knowledge have centered around developing high impact, asset-based approaches to learning (Williams et al, 2022). So, HBCU teacher preparation providers (TPPs) can also focus efforts on culturally sustaining approaches to developing candidates’ content knowledge and researching how high impact practices, like teaching simulations, can help prepare candidates for classrooms. This exploratory case study uses critical cases (n=2); findings suggest candidates have a developing understanding of content, which forms a solid basis for increasing their knowledge. MRTSs are addressed as a potential high impact, culturally sustaining practice for building candidates’ content knowledge. Further, HBCU TPPs can …

Geochemical Evidence Of Drying During The 4.2 Ka Event In Sediment Cores From The Yucatán Peninsula, Mexico, Derek K. Gibson, Jonathan Obrist-Farner, Alex Correa-Metrio, Alejandra Rodriguez-Abaunza, Carlos Castañeda-Posadas

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Tropical hydroclimate variability during the Middle and Late Holocene was investigated using geochemical indicators of local-scale precipitation and evaporation preserved in sediment cores from two sites in the Mexican Yucatán Peninsula. Scanning X-Ray fluorescence spectroscopy data show generally decreasing precipitation trends during the Early and Middle Holocene. During the transition between the Middle and Late Holocene, geochemical evidence of reduced watershed erosion and increased evaporation indicate that a centennial-scale drying event impacted the region between 4.3 and 4.0 ka (kilo-anum; thousand years before present). These findings suggest that the 4.2 ka drying event, which has been previously recorded in Europe, …

Impact Of Irrigation Systems On Water Use And Water Productivity: A Case Study Using Aquacrop In Khartoum, Sudan, Abdalhakam Almagzoop

Department of Agricultural and Biological Systems Engineering: Masters Project Reports

Water scarcity significantly challenges agricultural productivity in arid regions like Khartoum, Sudan. This study evaluates the impact of three irrigation systems—furrow, sprinkler, and surface drip—on the water use and productivity of sorghum (Sorghum bicolor L.) under different climatic conditions using the AquaCrop model. Simulations were conducted for three representative years: a wet year (2022), a normal year (2015), and a dry year (2018). The results demonstrate that irrigation substantially improved water use efficiency and crop yield compared to non-irrigated (rainfed) conditions. Rainfed crops resulted in lower biomass, harvest index, and yield, particularly in the dry year, highlighting the importance …

Enhancing Water Sustainability In North Africa: Literature Review And Synthesis Of Current Knowledge Gaps In Sudan, Osman M. A. Adam

Department of Agricultural and Biological Systems Engineering: Masters Project Reports

This study delves into the critical role of groundwater in addressing global water challenges, with a focus on the Nubian Sandstone Aquifer System (NSAS) in north Africa. Groundwater constitutes a source of potable water, irrigation, and industrial use, especially in arid regions where surface water is limited. We analyzed the status of water quantity, withdrawals, recharge, and geological characteristics in the NSAS, specifically in Sudan, Egypt, and Libya. Though the NSAS is largely an untapped resource, water withdrawals from the NSAS in Egypt, Sudan, and Libya are projected to increase substantially from 2000 to 2100 due to population growth, with …

Minimizing Take Of Threatened Rattlesnakes And Optimizing Project Review In Se Nebraska, Shaun Dunn, Dan Fogell, Colleen Rothe-Groleau

Nebraska Department of Transportation: Research Reports

The western massasauga (Sistrurus tergeminus) and the timber rattlesnake (Crotalus horridus) are protected under Nebraska Statute 37-801-811 and listed as threatened species. These species occur in the right-of-way (ROW) along several roads in Jefferson, Gage, Pawnee, and Richardson Counties which necessitates the need for added Environmental Review (ER) from Nebraska Department of Transportation (NDOT) staff and onsite surveys prior and during maintenance and construction to roadways. This project sought to minimize ER time, staff time, and increase the knowledge of these species in southeast Nebraska by:

1. Identifying precise locations of western massasauga brumation sites;
2. Mapping travel …

Deep Learning For Bitcoin Price Direction Prediction: Models And Trading Strategies Empirically Compared, Oluwadamilare Omole, David Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper applies deep learning models to predict Bitcoin price directions and the subsequent profitability of trading strategies based on these predictions. The study compares the performance of the convolutional neural network–long short-term memory (CNN–LSTM), long- and short-term time-series network, temporal convolutional network, and ARIMA (benchmark) models for predicting Bitcoin prices using on-chain data. Feature-selection methods—i.e., Boruta, genetic algorithm, and light gradient boosting machine—are applied to address the curse of dimensionality that could result from a large feature set. Results indicate that combining Boruta feature selection with the CNN–LSTM model consistently outperforms other combinations, achieving an accuracy of 82.44%. Three …

Designing An Advanced Gui For A Laser Harp, Matthew Moran

2024 Fall Honors Capstone Projects - Archive

This project presents the design and development of a laser harp, an innovative digital instrument that combines music and technology to inspire interest in STEM education. The harp uses laser beams and phototransistors to simulate the strings of a traditional harp, producing sound when the beams are interrupted. The primary focus of the honors section of this work is a custom-built software interface developed with a graphical user interface (GUI) that allows users to easily adjust settings like note range, volume, and the central part of the show, looping notes. The GUI is designed to be intuitive, making it easy …

Life-Cycle Cost Analysis Of Fm4 Txdot Roadway Alternatives In Cleburne, Texas, Ethan A. Bright

2024 Fall Honors Capstone Projects - Archive

The Engineering senior design group proposed a three-span concrete bridge, merged lane intersection, and a single storm conduit system. The Honors contribution to this project was analyzing the design’s alternative’s life-cycle costs to compare the most economic design. The project’s cost consists of initial construction, maintenance, and decommission. Utilizing Texas Department of Transportation (TxDOT) bid code unit prices, each design alternative is calculated by multiplying each material amount by the unit price then summed. Although the parallel conduit system has a cheaper initial cost, it requires more maintenance during its lifetime, therefore the single conduit system was recommended. Notably, cost …

Exploring Smart Thermostat, Don P. Dang

2024 Fall Honors Capstone Projects - Archive

This study examines the security, privacy, and compatibility challenges associated with smart thermostats in smart home systems. Smart thermostats, as part of the growing Internet of Things (IoT) ecosystem, face vulnerabilities such as unauthorized access, data breaches, and inconsistent security protocols. Using a mixed-methods approach, this research evaluates encryption techniques, communication protocols (Zigbee, Z-Wave, Wi Fi), and user behaviors that impact system security and efficiency. Key findings indicate that 35% of users are concerned about hacking risks, while 25% express data privacy concerns. Many users lack awareness of security measures, such as firmware updates and password management, which increases vulnerabilities. …

Artificial Intelligence Computational Techniques Of Flywheel Energy Storage Systems Integrated With Green Energy: A Comprehensive Review, Abdelmonem Draz, Hossam Ashraf, Peter Makeen

Electrical Engineering

In recent years, the operation of the electric power grid has become more efficient and resilient due to the integration of renewable energy sources (RESs). Solar and wind energy are being incorporated aggressively into the main grid, while other RESs like biomass and geothermal energy are also on the rise. However, the intermittent nature of these RESs necessitates the use of energy storage devices (ESDs) as a backup for electricity generation such as batteries, supercapacitors, and flywheel energy storage systems (FESS). This paper provides a thorough review of the standardization, market applications, and grid integration of FESS. It examines the …

A Machine-Learning Approach To Predicting The Achievement Of Australian Students Using School Climate; Learner Characteristics; And Economic, Social, And Cultural Status, Myint S. Khine, Yang Liu, Vivek K. Pallipuram, Ernest Afari

Pacific Faculty Work

The Programme for International Student Assessment (PISA) is a global survey conducted by the Organisation for Economic Co-operation and Development (OECD) to assess educational systems by evaluating the academic performance of 15-year-old school students in mathematics, science, and reading. In PISA 2022, 13,437 students from Australia participated in the test. While the PISA main questionnaire assesses the subject knowledge, the student background questionnaire solicits contextual information such as school climate, learner characteristics, and socioeconomic status. This study analyses how these contextual variables predict student achievement using the machine-learning models Ridge Linear Regression, K-Nearest Neighbours, Decision Trees, eXtreme Gradient Boosting, and …