Engineering Commons^™

Numerical Investigation Of Supersonic Flow Over A Wedge By Solving 2d Euler Equations Utilizing The Steger–Warming Flux Vector Splitting (Fvs) Scheme, Mitch Wolff, Hashim H. Abada, Hussein Awad Kurdi Awad Kurdi Saad

Mechanical and Materials Engineering Faculty Publications

Supersonic flow over a half-angle wedge (θ = 15°) with an upstream Mach number of 2.0 was investigated using 2D Euler equations where sea level conditions were considered. The investigation employed the Steger–Warming flux vector splitting (FVS) method executed in MATLAB 9.13.0 (R2022b) software. The study involved a meticulous comparison between theoretical calculations and numerical results. Particularly, the research emphasized the angle of oblique shock and downstream flow properties. A substantial iteration count of 2000 iteratively refined the outcomes, underscoring the role of advanced computational resources. Validation and comparative assessment were conducted to elucidate the superiority of the Steger–Warming flux …

Rasc-Al Large Scale Lunar Crater Prospector, Austin Arnold, Coleman Alvarez, Mark Suberu

Senior Design Project For Engineers

The purpose of this project is to design a conceptual layout of a lunar rover capable of exploring craters at the lunar south pole. The rover should be autonomous and capable of self-sustainment for at least one year in extreme cold and darkness. While determining the location and accessibility of water ice and other volatiles within the crater. This document will contain all information related to the team's conceptual design. Including research, component selection, electrical design, and mechanical design.

Lunar Rascals Video: https://www.youtube.com/watch?v=MdcjzVMtzaI

A Comprehensive Analysis Of Training Induced Heat-Related Injuries At Fort Moore, Anthony Beger

Data Science Undergraduate Honors Theses

Heat related injuries are a significant problem for the United States Armed Forces. There were over 11,000 confirmed cases of heat-related illnesses that were diagnosed at more than 230 military installations from 2018-2022. These injuries are primarily due to hyperthermia (i.e., abnormally high body temperature) resulting from extreme environmental temperatures, high humidity, medications, or excessive physical work or exercise. Fort Moore has the most heat related injuries of any installation in the U.S. Department of Defense since it is home to one of the largest U. S. Army training posts with most training involving intensive outdoor activity in high heat …

Comparing North American Professional Sports League Season Formats Using Monte Carlo Simulation, Lathan Gregg

Industrial Engineering Undergraduate Honors Theses

Each NFL, NBA, and MLB season consists of a regular season, in which teams play a set number of scheduled games and a playoff, in which qualifying teams compete for a championship. At the conclusion of each season, teams are ranked based on their performance throughout the season. This study aims to investigate the ability of each league's season format to accurately rank teams using Monte Carlo simulation. Matches between two teams are simulated by using the team’s assigned strength ranks to calculate a winning probability for each team. The winning probabilities are simulated with different skill values, dictating how …

Using Convolutional Neural Networks For Autonomous Drone Navigation, Joshua Jowers

Industrial Engineering Undergraduate Honors Theses

Unmanned Aerial Vehicles (UAVs), more commonly known as drones, serve various purposes, notably in military applications. Consequently, there arises a need for navigation methods impervious to intercepted signals [1]. Previous research has explored numerous solutions, including machine learning. This paper delves into a specific machine learning approach employing a Convolutional Neural Network (CNN) to discern image locations [2]. It elucidates the conversion of a CNN model between two machine learning libraries and presents results from multiple experiments examining parameters and factors influencing the approach's efficacy. These experiments encompass testing different data sources, image quantities, and processing pipelines to gauge their …

An Adaptive Large Neighborhood Search For The Multi-Vehicle Profitable Tour Problem With Flexible Compartments And Mandatory Customers, Vincent F. Yu, Nabila Yuraisyah Salsabila, Aldy Gunawan, Anggun Nurfitriani Handoko

Civil and Environmental Engineering Faculty Publications and Presentations

The home-refill delivery system is a business model that addresses the concerns of plastic waste and its impact on the environment. It allows customers to pick up their household goods at their doorsteps and refill them into their own containers. However, the difficulty in accessing customers’ locations and product consolidations are undeniable challenges. To overcome these issues, we introduce a new variant of the Profitable Tour Problem, named the multi-vehicle profitable tour problem with flexible compartments and mandatory customers (MVPTPFC-MC). The objective is to maximize the difference between the total collected profit and the traveling cost. We model the proposed …

Statistical And Machine Learning Analysis In Brain-Imaging Genetics: A Review Of Methods, Connor L. Cheek, Peggy Lindner, Elena L. Grigorenko

Engineering Management and Systems Engineering Faculty Research & Creative Works

Brain-imaging-genetic analysis is an emerging field of research that aims at aggregating data from neuroimaging modalities, which characterize brain structure or function, and genetic data, which capture the structure and function of the genome, to explain or predict normal (or abnormal) brain performance. Brain-imaging-genetic studies offer great potential for understanding complex brain-related diseases/disorders of genetic etiology. Still, a combined brain-wide genome-wide analysis is difficult to perform as typical datasets fuse multiple modalities, each with high dimensionality, unique correlational landscapes, and often low statistical signal-to-noise ratios. In this review, we outline the progress in brain-imaging-genetic methodologies starting from early massive univariate …

Dynamic Compressive Properties Of Heat-Treated And Pre-Stressed Cement Mortar Specimen Subjected To Cyclic Impact Loading, Ronghua Shu, Guang Xu, Lijinhong Huang

Mining Engineering Faculty Research & Creative Works

By carrying out the cyclic dynamic compressive experiment, the dynamic compressive properties of heat-treated and pre-stressed cement mortar subjected to cyclic impact loading were obtained. The results show that under static and cyclic impact loading, the peak stress shows a nonlinear decrease trend with the increasing dynamic impact number, and the failure strength decreases as heated temperature increases. The strain rate shows a linear increase trend as impact number increases. The relationship among the strain rate, temperature and impact number obey exponential relations, which could be expressed as ε˙ = 0.64E0.00854T+4.93 X 10−3tn+0.77N+18.70. The strain rate increase factor could be …

The Interplay Of Casing Material And Detonation Wave Shock Parameters In Steel Witness Plate Dent Formation, Emily M. Johnson, Catherine E. Johnson

Mining Engineering Faculty Research & Creative Works

This Study Uses Both Experimentation and Simulation to Investigate How Varying Casing Material Around Cylindrical Composition-B Charges Affects Witness Plate Response and Diagnoses the Cause of the Differences in the Dents Produced. through Experimentation, It Was Found that Consistent Dents Are Produced from Repeated Tests and Characteristically Different Dents Are Produced by Charges with Different Casing Material. Charges Cased in Viscoelastic Materials Produced Shallower Dents Than Those Without Casing. Simulation Was Validated Against the Experimental Dents, and the Detonation Wave Parameters Were Measured for 25 Differently Cased Charges: 15 Metals and 10 Polymers. Regression Fit Relationships Were Derived Relating Dent …

To What Extent Do Water Reuse Treatments Reduce Antibiotic Resistance Indicators? A Comparison Of Two Full-Scale Systems, Ishi Keenum, Jeanette Calarco, Haniyyah Majeed, E. Eldridge Hager-Soto, Charles Bott, Emily Garner, Valerie J. Harwood, Amy Pruden

Michigan Tech Publications

Water reuse is an essential strategy for reducing water demand from conventional sources, alleviating water stress, and promoting sustainability, but understanding the effectiveness of associated treatment processes as barriers to the spread of antibiotic resistance is an important consideration to protecting human health. We comprehensively evaluated the reduction of antibiotic resistance genes (ARGs) and antibiotic-resistant bacteria (ARB) in two field-operational water reuse systems with distinct treatment trains, one producing water for indirect potable reuse (ozone/biologically-active carbon/granular activated carbon) and the other for non-potable reuse (denitrification-filtration/chlorination) using metagenomic sequencing and culture. Relative abundances of total ARGs/clinically-relevant ARGs and cultured ARB were …

L-Ergothioneine Slows The Progression Of Age-Related Hearing Loss In Cba/Caj Mice, Mark A. Bauer, Parveen Bazard, Alejandro A. Acosta, Nidhi Bangalore, Lina Elessaway, Mark Thivierge, Moksheta Chellani, Xiaoxia Zhu, Bo Ding, Joseph P. Walton, Robert D. Frisina

Chemical and Biochemical Engineering Faculty Research & Creative Works

The naturally occurring amino acid, l-ergothioneine (EGT), has immense potential as a therapeutic, having shown promise in the treatment of other disease models, including neurological disorders. EGT is naturally uptake into cells via its specific receptor, OCTN1, to be utilized by cells as an antioxidant and anti-inflammatory. In our current study, EGT was administered over a period of 6 months to 25–26-month-old CBA/CaJ mice as a possible treatment for age-related hearing loss (ARHL), since presbycusis has been linked to higher levels of cochlear oxidative stress, apoptosis, and chronic inflammation. Results from the current study indicate that EGT can prevent aging …

Transfer-Learning-Enhanced Regression Generative Adversarial Networks For Optimal Evtol Takeoff Trajectory Prediction, Shuan Tai Yeh, Xiaosong Du

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Electric vertical takeoff and landing (eVTOL) aircraft represent a crucial aviation technology to transform future transportation systems. The unique characteristics of eVTOL aircraft include reduced noise, low pollutant emission, efficient operating cost, and flexible maneuverability, which in the meantime pose critical challenges to advanced power retention techniques. Thus, optimal takeoff trajectory design is essential due to immense power demands during eVTOL takeoffs. Conventional design optimizations, however, adopt high-fidelity simulation models in an iterative manner resulting in a computationally intensive mechanism. In this work, we implement a surrogate-enabled inverse mapping optimization architecture, i.e., directly predicting optimal designs from design requirements (including …

Surface Coating Method For Cement-Based Materials To Improve Chloride Ion Penetration Resistance Using Amine-Based Co2 Solvent, Seongho Han, Tae Hoon Han, Jae Hong Kim

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The application of coatings on concrete surfaces serves as a protective shield, guarding the structure against chlorides and averting corrosion of the reinforcement, consequently enhancing its durability. This study investigates the resistance of cement mortar samples to chloride ion penetration when coated with an amine-based carbon dioxide (CO2) solvent. Various factors, including monoethanolamine (MEA) concentrations of 1, 10, and 30 wt.%; water-to-cement ratios (w/cm) of 0.35, 0.4, and 0.5; coating timings on day 3 and day 27; and pre-conditioning methods such as air drying, are investigated for their impact on the performance of chloride penetration resistance. Specifically, pre-conditioning significantly enhanced …

Detection Of Hypoxia Via Rgb Imaging, Nathania Nischal

Biomedical Engineering Undergraduate Honors Theses

Colorectal cancer is a common form of cancer, and is heavily researched in murine models. Colonoscopies are often performed in clinical settings to assess the health of the colon, as well as locate and assess the severity of tumors in a non-invasive way. As the quality of the images is dependent on the colonic environment and the light available, it is important to ensure the accuracy of the images via a normalization algorithm. The RGB images procured from these colonoscopies have great potential as a diagnostic tool for physicians, as varying scales of discoloration is common in hypoxic tissue. While …

Dorsal Root Ganglia Neurite Outgrowth Following Traumatic Spinal Cord Injury Repair: A Review, Adrienne Vaughan

Biomedical Engineering Undergraduate Honors Theses

Traumatic spinal cord injury (tSCI) can cause partial sensorimotor deficiency or total dysfunction, rendering patients unable to perform necessary tasks and dramatically decreasing their quality of life. tSCI is a very prevalent issue. In the United States alone, there are approximately 54 new cases of SCI per one million people each year, or 18,000 new cases annually. tSCI creates a lesion gap filled with axon-inhibiting fibrotic scar tissue. Comprehensive functional recovery following traumatic spinal cord injury (tSCI) requires axonal regeneration across wound site lesions. Dorsal root ganglia (DRG) neurite outgrowth is often evaluated in PNI therapeutic research since it can …

Implementation Of Explainable Ai For Bearing Fault Classification, Mohammad Mundiwala

Honors Scholar Theses

It is difficult to overstate the impact of artificial intelligence (AI) over the past decade. The rapid expansion of machine learning has stimulated a race to deploy AI in all facets of life, one such domain being machine health monitoring. There is no doubt that machine learning excels in prediction accuracy, but oftentimes, these models are cryptic and fail to provide valuable insight into their decisions. This paper presents an overview of a neural network and what it means to learn. Next, two distinct Explainable AI (XAI) techniques will be presented: Gradient Class Activation Mapping and SimplEx . Finally, these …

Maximization Of Brackish Water Productivity For The Sustainable Production Of Striped Catfish (Pangasianodon Hypophthalmus) And Grain Sorghum (Sorghum Bicolor (L.) Moench) Cultivated Under An Integrated Aquaculture–Agriculture System, Fahad Kimera, Muziri Mugwanya, Khaled Madkour, Mahmoud A.O. Dawood, Hani Sewilam

Faculty Journal Articles

Freshwater scarcity, salinity, and poor soil fertility are the major challenges affecting both food and feed productions in arid and semi-arid regions of the world. Utilization of brackish water in the production of saline-tolerant fish and valuable field crops under an integrated system is promising in the maximization of yield per crop. The aim of this study, therefore, was to (1) assess the effect of saline aquaculture wastewater on the growth, yield, forage quality, and nutritive composition of sorghum seeds and (2) assess the effect of different water qualities on the survival, growth performance, and health status of Pangasianodon hypophthalmus. …

Elucidating The Impact Of Casting Solvent On Vanadium Ion Transport In Solution-Cast Ionomer Biocomposites Containing Lignin, Zhongyu Wang

All Theses

This paper attempts to investigate the influence of solvent choice to the Nafion-lignin proton exchange membranes that used in the vanadium redox flow batteries. The influence of two different solvents: DMF and DMSO were investigated in this paper. Results show that when using DMSO as solvent, Nafion-lignin membranes' vanadium ion cross over can be greatly reduced in comparing with membranes prepared from DMF. Also, membranes prepared from DMSO also show higher water uptake ability and lower ion exchange capacity than the membranes prepared from DMF. This paper has also investigated the influence of lignin type to the membranes. Results show …

Quasi-Static And Dynamic Deformation Of Aluminum Matrix Composites Reinforced By Core-Shell Al35ti15cu10mn20cr20 High-Entropy Alloy Particulates, Dezhi Zhu, Tingting Chen, Xiaoqiang Jin, Haiming Wen, Zhiqiang Fu, Shengguan Qu

Materials Science and Engineering Faculty Research & Creative Works

Core-Shell Structured Particles Are Potential Reinforcement Agents For Metal Matrix Composites. In This Work, Aluminum Matrix Composites Reinforced With Core-Shell Structured Al35Ti15Cu10Mn20Cr20 High-Entropy Alloy (HEA) Particles Were Fabricated By Spark Plasma Sintering (SPS) And High-Temperature Diffusion Post-Treatment. Dynamic Compression Behavior And Adiabatic Shear Failure Mechanism In The Composites Were Investigated By Split Hopkinson Pressure Bar (SHPB), Scanning Electron Microscopy And Transmission Electron Microscopy. Results Showed That The Shell Thickness Of The Core-Shell Particles Ranged From 0.4 To 1.6 Μm, Which Were Formed By Thermal Diffusion Between HEA Core And Aluminum Alloy. The 30 Vol% (Al35Ti15Cu10Mn20Cr20)p/2024Al Composite Showed A High Compressive …

Developing Guidelines For The Use Of Lightweight Materials In Culvert Preservation, Charlie Sun, Kean H. Ashurst Jr.

Kentucky Transportation Center Research Report

This study addresses challenges that arise during highway embankment construction on road widening projects when additional fill is placed above existing culverts. Researchers conducted reduced-scale model laboratory tests to simulate culvert behavior under different loading conditions and to determine how well lightweight materials (LWMs) perform when subjected to changing loads. Testing showed that proximity of LWM to the culvert’s top surface strongly influences the magnitude of strain reductions or increases. Placing LWMs with relatively low elastic modulus closer to the culvert’s top surface led to reduced culvert ceiling strain and increased culvert wall strain. LWMs with relatively high elastic modulus …

Addressing Multimodal Transportation Needs Through Complete Streets Implementation, Eirini Stavropoulou, Nikiforos Stamatiadis, William Staats, Teng Wang, Reginald Souleyrette

Kentucky Transportation Center Research Report

Since the early 2000s, over 1,600 transportation agencies in the United States have adopted Complete Streets policies. Recently, the Kentucky Transportation Cabinet (KYTC) published its Complete Streets, Roads, and Highways Manual, which aims to implement a safe and equitable transportation system throughout the state, as well as a Complete Streets policy. The manual and policy offer guidance on integrating Complete Streets principles into road design, however, KYTC currently lacks tools or methods to evaluate how well specific projects address Complete Streets goals. This is problematic because systematic assessments are needed to effectively prioritize projects and allocate scarce funding. Based …

Estimation Of Benefits From Pedestrian And Bicycle Improvements, Dionysios Tzamakos, Nikiforos Stamatiadis, William Staats, Teng Wang, Reginald Souleyrette

Kentucky Transportation Center Research Report

Delivering safe mobility for all users of the transportation system is a key priority of the Kentucky Transportation Cabinet (KYTC). Because many system users rely on pedestrian and bicycle facilities, it is critical for KYTC to balance pedestrian and bicycle facility accommodations with those for motorized users. Currently, the Strategic Highway Investment Formula for Tomorrow (SHIFT) — the Cabinet’s systematic approach to scoring and prioritizing proposed roadway projects — awards up to five points (out of a possible total of 100) for pedestrian and bicycle projects. But the agency lacks a robust method for estimating the benefits of pedestrian and …

Computational Predictions Of Heart Failure Drug Effects On Cardiac Fibrosis, Aaron Gardner

Chemical Engineering Undergraduate Honors Theses

The extracellular matrix is a complex system surrounding cells that is crucial to all of the cardiovascular system’s functions. Fibrosis is an excessive accumulation (scarring) of the extracellular matrix. Fibrosis is typically a negative event, and the scarring must be reduced in the heart in order to maintain its functionality. Due to this, simulations are run using the software “Netflux” in order to determine the effects of different heart failure drugs on cardiac fibrosis. The drugs that were simulated were an ACE Inhibitor, BAR Beta Blocker, ARB Blocker, and Entresto. These drugs were simulated over 50 hours at three different …

Optimization Of Collagen And Cell Concentrations For Engineered Tissues, Avery Fiser

Chemical Engineering Undergraduate Honors Theses

Improvements regarding the drug discovery process are necessary due to less than 1% of drugs making it from the initial discovery phase to patient treatment in clinics. One method of enhancing this process involves improving the relevance and dependability of in vitro testbeds utilized during pre-clinical testing. Improvement along these factors can provide a more relevant view for eventual drug behavior in patients. This additional relevance can allow for a reduced timeline in drug development for improving patient care. A consistent and morphologically sound baseline engineered tissue is vital to the creation of successful experimental models. Parameters such as cell …

Modeling Inflation Transmission Among Different Construction Materials, Mohamad Abdul Nabi, Islam H. El-Adaway, Rayan H. Assaad

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Cost estimating in the construction industry is challenging due to the high uncertainty associated with the supply chain, especially after the COVID-19 pandemic. Some research studies have addressed such problems by developing models that predict material cost. In fact, all material can be interconnected and interrelated with lead-lag relationships such that any inflation in one material's price can be associated with inflation in other materials' prices, referred to as transmission of inflation. Despite the latter, none of the existing studies have investigated inflation transmission among all construction materials. This paper fills this knowledge gap. The authors used a multistep research …

A Review Of Whipple Shield Ballistic Limit Equations, S. Ryan, W. (William) P. Schonberg

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Ballistic limit equations (BLEs) are semi-analytical expressions used to predict the risk posed by micrometeoroid and orbital debris (MMOD) impacts on a spacecraft. A foundational BLE, known as the new non-optimum (NNO) equation was published by Eric Christiansen of NASA Johnson Space Center in 1990 for application on Whipple shields – two-plate configurations consisting of a thin sacrificial plate located at some standoff in front of the spacecraft pressure hull or structural wall. Today, BLEs for almost all multi-plate spacecraft structures, e.g., honeycomb sandwich panels, monolithic structures with thermal insulation blankets, etc., are based on the NNO Whipple BLE. We …

Rapid Response Satellite Launcher, Nathan Jones, Joey Cosentino, Jayson Layton, Afek Adar

Senior Design Project For Engineers

Air launch to orbit is a new style or spacecraft where rockets are attached to a large aircraft and released at cruising altitude to then ignite and launch into space. Companies such as Virgin Orbit are using it as a cheap and efficient way to move satellite payloads into lower or upper Earth orbit. These styles of launchers can be designed to be much smaller than ground-launched spacecraft, reducing cost and weight of the launcher in comparison. With many private companies coming into the space and satellite industry, the design and manufacturing of these launchers have become a focus within …

Encapsulated 2d Materials And The Potential For 1d Electrical Contacts, Sarah Wittenburg

Physics Undergraduate Honors Theses

The utilization of two-dimensional materials and heterostructures, particularly graphene and hexagonal boron nitride, have garnered significant attention in the realm of nanoelectronics due to their unique properties and versatile functionalities. This study focuses on the synthesis and fabrication processes of monolayer graphene encapsulated between layers of hBN, aiming to explore the potential of these heterostructures for various electronic applications. The encapsulation of graphene within hBN layers not only enhances device performance but also shields graphene from environmental contaminants, ensuring long-term stability. Experimental techniques, including mechanical exfoliation and stamp-assisted transfer, are employed to construct three-layer stacks comprising hBN-graphene-hBN. The fabrication process …

Analyzing A Software Based Lossy Compression Algorithm On An Fpga Platform, Tripp Herlong

All Theses

In HPC, the ability to generate data is outpacing our hardware capabilities of storing said data. This presents the need for compression so we can keep important data preserved without costly hardware upgrades or worrying about hardware speed limitations. Traditional forms of compression are software based, which presents a speed issue that can lead to bottlenecks when storing data.Scientific data lossy compression methods such as SZ enable a speedup on memory transfer by simplifying computation to minimize the essential data size. SZx is a lightweight version of the popular SZ floating point compressor that may benefit from hardware acceleration. This …

Balancing Environmental Clearances With Construction Work Zone Needs, Chris Van Dyke, Steve Waddle, Ying Li

Kentucky Transportation Center Research Report

On small, single-span bridge projects (< 100 feet), the Kentucky Transportation Cabinet (KYTC) during project development works to establish an environmentally clear area (ECA) large enough to accommodate contractor operations. An adequately sized ECA gives contractors sufficient room to have materials delivered, park vehicles, store materials, and maneuver equipment around the project site (e.g., cranes, drill rig). If a contractor finds an ECA is too small to support their operations, they are responsible for obtaining additional environmental clearances. Clearing additional areas following the project award can slow down project delivery. To reduce the likelihood of contractors needing to enlarge an ECA, this report includes four documents KYTC can implement immediately to streamline and clarify the environmental clearances process. They include a checklist that project managers can use to coordinate the work of project team members and verify environmental clearances are on track, a combined environmental clearances workflow and best practices document for use by environmental subject-matter experts (SMEs), proposed language that can be inserted into project proposals that describes the environmental clearance process and specifies materials the Cabinet will hand off to contractors showing the location of the ECA, and a one-page explainer for contractors describing the environmental clearances process. Taken together, these deliverables emphasize the importance of early and ongoing coordination among project team members, clearing as much area as practical in and around bridges, and being transparent with contractors about their responsibilities.