Engineering Commons^™

Minimum Ghg Emissions And Energy Consumption Of U.S. Pet And Polyolefin Packaging Supply Chains In A Circular Economy, Utkarsh S. Chaudhari, Abhishek Patil, Tasmin Hossain, David Watkins, Damon S. Hartley, Barbara K. Reck, Robert Handler, Anne T. Johnson, Vicki S. Thompson, David Shonnard

Michigan Tech Publications

There is a wide agreement on the urgency of transforming linear management of plastics towards a circular economy model. However, no clear pathways exist as to required recycling technologies involved and system-wide environmental impacts. This study explores such pathways in the U.S. for the most commonly used packaging plastics through a combination of mechanical and emerging advanced recycling technologies. A system optimization model aimed at minimizing environmental impacts was developed to determine optimal end-of-life (EOL) management and locations of existing and emerging U.S. recycling infrastructures. Our study includes material flows from virgin resin production through semi-manufacturing processes to existing EOL …

Gnss Technology, Utah State University Space Dynamics Laboratory

Space Dynamics Laboratory Publications

SDL presentation on GNSS Technology

Enhancing Autonomous Truck Navigation In Underground Mines: A Review Of 3d Object Detection Systems, Challenges, And Future Trends, Ellen Essien, Samuel Frimpong

Mining Engineering Faculty Research & Creative Works

Integrating autonomous haulage systems into underground mining has revolutionized safety and operational efficiency. However, deploying 3D detection systems for autonomous truck navigation in such an environment faces persistent challenges due to dust, occlusion, complex terrains, and low visibility. This affects their reliability and real-time processing. While existing reviews have discussed object detection techniques and sensor-based systems, providing valuable insights into their applications, only a few have addressed the unique underground challenges that affect 3D detection models. This review synthesizes the current advancements in 3D object detection models for underground autonomous truck navigation. It assesses deep learning algorithms, fusion techniques, multi-modal …

Technical Communication Instruction Partnership With Engineering Faculty, Ashley S. Mcguire, Michael M. Lipscomb

Libraries Professional Work

Graduate students in STEM fields are often expected to communicate – both in writing and orally – at a professional level by the time they submit their theses and dissertations. Unfortunately, many graduate students lack opportunities to learn how to do that in a STEM setting. An informal review of US programs revealed that many offer writing courses modeled on traditional composition courses, which are not necessarily directed to the needs of STEM students. Further, many of these courses provide a series of isolated learning modules with little continuity or encouragement to revise and in which technological writing assistance is …

Circular Economy In Construction: Decision-Making Factors And Future Research Avenues, Bahaa Chammout, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The construction sector is a major consumer of raw materials and a significant contributor to environmental degradation. Circular economy (CE) - an economic and systemic approach aimed at minimizing waste and fostering sustainable resource use - offers a remedy for these impacts. However, CE adoption in construction remains under-researched and limited. Accordingly, there is a need to provide a comprehensive understanding of CE decision-making factors in construction. This paper addresses this research need. First, the authors reviewed 138 journal articles on CE in construction, published between 2015 and 2023, and compiled a comprehensive list of 40 factors influencing CE decision-making. …

Microstructural Evolution And Rheological Enhancement Of Asphalt–Rubber Binders: Unveiling The Role Of Morphology In Performance, Eslam Deef-Allah, Mohyeldin Ragab, Mohamed Attia, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Understanding the development of an asphalt binder's internal network structure is essential when interacting asphalt and crumb rubber. Thus, the focus of this study was to reveal the development of asphalt–rubber binders' (A-RBs) network structures at different interaction times and their correlation with performance. Atomic force microscopy (AFM) was utilized to image the morphologies of the binders, and the binders' performances were explored rheologically with a dynamic shear rheometer. Extending the interaction time to 8 h and utilizing a soft binder altered the network structures from agglomerated dispersoids—minuscule distributed phase zones embedded in the continuous matrix of the asphalt binder—to …

Guidelines For Energy Technology Demonstrations, Ian M. Shapiro

SyracuseCoE

This document is intended to provide guidance to companies developing new products, researchers, organizations sponsoring product development, demonstration hosts, resident organizations, and policymakers. The guidelines were prepared to maximize the chances for success of energy technology field demonstrations. Guidance is provided for effective site recruitment, project scoping and design, installation, onsite research, and related work such as public communication and risk management, all in ways that fully engage demonstration hosts.

Investigation Of Retention And Dehydration Of Preformed Particle Gel For Conformance Control In Fractured Carbonates, Abdulaziz A. Almakimi, Abdullah O. Almansour, Junchen Liu, Baojun Bai, Ibnelwaleed A. Hussein

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Preformed particle gel (PPG) treatment has proved to be among the most effective methods to reduce excessive water production in fractured reservoirs. The blocking ability of PPGs to fractures or fracture-like features is highly dependent on injected gel properties and volume. Gel dehydration during extrusion through fracture is common and has a considerable effect on gel properties, transport, and plugging efficiency. As the gel particles propagate through the fracture, continuous dehydration is often associated and causes the gel to concentrate and require high-pressure gradients to move. Dehydration might be desirable to a certain limit because it can help to form …

Performance Evaluation Of Aminated Multi-Walled Carbon Nanotubes Incorporated With Green Synthesized Iron Nanoparticles For Toxic Dyes Sequestration From Textile Wastewater, Titus Chinedu Egbosiuba, Cynthia Chukwuemeka, Jonah Chukwudi Umeuzuegbu, Nwanneka Chibuzo Mmonwuba, Ugochukwu Ewuzie, Monday Uchenna Okoronkwo, Valentine Chikaodili Anadebe, Saheed Mustapha, Ambali Saka Abdulkareem, Jimoh Oladejo Tijani, Ashish Patel, Virendra Kumar Yadav

Chemical and Biochemical Engineering Faculty Research & Creative Works

This study evaluates the performance of aminated multi-walled carbon nanotubes (AM-MWCNTs) integrated with zerovalent iron nanoparticles (ZVI) synthesized using cashew leaf (Anacardium occidentale) extract (AM-MWCNTs@ZVI) for the removal of Congo Red (CR) and Methylene Blue (MB) dyes from textile industrial wastewater. The nanocomposite was characterized using FTIR, XRD, BET, HRSEM, and HRTEM analyses, confirming its functional groups, crystalline structure, and enhanced surface area of 1050.4 m²/g. The ecological risk degree of the textile pollutants was assessed to determine the percentage concentrations of crystal violet, Congo red, methyl orange, methylene blue and rhodamine B. Batch adsorption experiments identified optimal …

Effect Of Thermal History On The Fracture And Fatigue Behaviors Of Semi-Crystalline Polymers Prepared Via Material Extrusion Additive Manufacturing, Ava M. Lea, Khaled Matalgah, Arief Yudhanto, Trevor J. Fleck

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Material extrusion (MEX) additive manufacturing (AM) is transforming the design and production of complex structures, providing reliable on-demand components. However, the effect of thermal history on the resultant microstructure and damage tolerance of MEX-AM materials is not fully understood. This research investigates the critical role of interfacial thermal history, which is dependent on processing conditions, in determining the fracture and fatigue behaviors of semi-crystalline polymers, as exemplified by polyamide-6 (PA-6). Utilizing infrared thermography, the thermal history, and its dependence on nozzle temperature of extruded PA-6, was investigated. Quasi-static and cyclic tests of compact tension specimens were used to evaluate fracture …

Development Of A Health And Wellness Assessment For Kytc Personnel, Gabriel Dadi, Farshid Taherpour, Caitlin Pope

Kentucky Transportation Center Research Report

Highway construction workers operate in high-stress, hazardous settings where they have to perform physically taxing labor in environments where exposure to variable weather conditions, heavy equipment, high volumes of vehicle traffic, and other conditions that induce stress and anxiety are the norm. Up to 70% of workers in this industry have reported experiencing mental health issues, including secondary traumatic stress, post-traumatic stress disorder, depression, anxiety, and substance abuse disorders. Few state departments of transportation, however, offer adequate resources staff can draw on to effectively manage their psychological well-being. To help Kentucky Transportation Cabinet (KYTC) roadway maintenance and construction workers develop …

Aggregator Zone Selection For Ev Smart Controls Based-On Ml Clustering Of Grid Strength, Distance, And Charging Homogeneity, Rosemary E. Alden, Sam H. Lowe Ii, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Smart electric vehicle (EV) charging control methods from a central utility hub often require communication infrastructure over a large service area of electric power distribution systems with a large number of nodes. Industry standards such as Open Charge Point Protocol (OCPP) 2.1 have evolved to include topologies for local controllers to the individual chargers, i.e. EV aggregator zones. A machine learning (ML) application of k-means clustering is proposed to establish zones for coordination of EV charging based on grid strength and EV owner decision-making to charge per day. Very large-scale distribution networks including the IEEE 123 and 8500 benchmark feeders …

Cluster-Based Volt/Var Optimization On A Utility Distribution Feeder With Forecasted Ev Penetration, Steven B. Poore, Grant M. Fischer, Rosemary E. Alden, Evan S. Jones, Aron Patrick, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

With significant increase in EV adoption expected in the near future and the associated impacts on power systems, the effect of volt/var optimization (VVO) as the next step to conservation voltage reduction (CVR), requires reevaluation. Implementation of a cluster-based VVO control strategy employs a novel approach with machine learning (ML) load forecasting to reduce device adjustments through k-means clustering of contiguous time steps with similar active power load in which a single adjustment would be sufficient. The cluster-based VVO method is tested on a complex real world utility distribution feeder with 2,018 nodes, 8.65MW peak load, 9 capacitor banks (CBs), …

Hybrid Fea And Meta-Modeling For De Optimization Of A Pm Stator-Excited Motor With A Reluctance Rotor, Oluwaseun A. Badewa, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper presents an innovative method for designing high-performance electric motors by integrating machine learning (ML) based meta-modeling with a differential evolution (DE) optimization algorithm. The approach utilizes finite element analysis (FEA) data to train the ML meta-model, allowing for efficient optimization of high-power-density machines, such as the reluctance rotor and permanent magnet (PM) stator combined excitation motor, which is characterized by nonlinearities. The meta-modeling process employs an Artificial Neural Network (ANN) with 3 hidden layers and uses the motor’s geometrical variables as inputs. The accuracy of the meta-model in capturing the nonlinear relationships between design parameters, core losses, and …

Three And Two Phase Rotating Field Inductive Couplers For Wireless Power Transfer With One Phase Per Layer Windings, Donovin D. Lewis, Lucas Gastineau, Omer Onar, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Multiphase inductive wireless charging coils have been proposed recently to improve coupler surface power density, reduce component stress and size, and provide near-constant power delivery to charge mobile electric systems. Several aspects for the fundamental characterization of multiphase coils are explored up to six phases including approximate mutual inductance with size and turn variation, induced voltage, and output power estimation. The relative component stress and size of passive components for resonant operation are compared between the multiphase variants. A combination of an experimentally validated 3D electromagnetic finite element analysis (FEA) and power electronic co-simulations are used to validate the estimated …

Cryogenic Thermal System For Coreless Axial Flux Pm Machine With Litz Wire Winding For Electric Aircraft Propulsion, Matin Vatani, Chaianan Sailabada, Philippe Masson, Juan C. Ordonez, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Electric machines for aviation demand ultra-efficient, compact designs with high specific power density, which can be achieved through advancements in both electromagnetic design and thermal management. This paper proposes and investigates an integrated thermal management approach for a coreless stator axial flux permanent magnet (AFPM) machine featuring a double-sided Halbach array PM rotor, two stators, and an aluminum nitride (AlN) cold plate positioned between the stators for direct cooling. The cold plate incorporates internal serpentine channels for liquid hydrogen circulation. The electromagnetic performance and efficiency of the machine at cryogenic temperatures are assessed using temperature-dependent data from the literature, indicating …

Mitigation Of Pm Eddy Current Losses Using Offset Windings In Coreless Afpm Machines, Matin Vatani, Diego A. Lopez Guerrero, John F. Eastham, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Permanent magnet eddy current losses can become substantial in coreless stator axial flux permanent magnet (AFPM) machines operating at high speeds and under high electric loading, potentially leading to elevated temperatures and an increased risk of demagnetization. This paper investigates the origins of these losses through a detailed harmonic analysis of the winding factor and introduces a mitigation strategy. The proposed method utilizes two-layer offset windings, effectively minimizing undesirable armature flux harmonics through harmonic interaction between the offset layers. Two cases are studied: one in which each stator layer is connected to a separate inverter and another in which both …

Assessment Of White Matter Changes Using Quantitative T1Ρ Mapping In An Open-Field Low-Intensity Blast Mouse Model Of Mild Traumatic Brain Injury (Mtbi), Dina Moazamian, Shengwen Xie, Jiyo S. Athertya, Qingbo Tang, Roland R. Lee, Eric Y. Chang, Jeffrey M. Tomlin, Catherine E. Johnson, Jiang Du, Yajun Ma

Mining Engineering Faculty Research & Creative Works

Blast-induced mild traumatic brain injury (mTBI) occurs when shock waves travel through blood vessels and cerebrospinal fluid, leading to cerebral demyelination, which results in cognitive impairments and neuropsychiatric issues that impact quality of life. This study aims to evaluate myelin changes in white matter in mice with mTBI induced by an open-field low-intensity blast (LIB) using a newly implemented 3D adiabatic T1ρ prepared fast spin echo (Adiab-T1ρ-FSE) sequence for quantitative T1ρ MRI mapping. Thirty male C57BL/6 mice, including 15 mTBI and 15 sham controls, were scanned on a 3T Bruker MRI scanner. Luxol fast blue (LFB) staining was performed to …

Comparative Analysis Of Lab-Data-Driven Models For International Friction Index Prediction In High Friction Surface Treatment (Hfst), Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

High Friction Surface Treatments (HFSTs) are often utilized as a spot treatment to enhance selected areas with high friction demand rather than extended pavement sections and are helpful in increasing skid resistance and minimizing road accidents. A laboratory design approach was created to assess the fundamental ideas behind the international friction index (IFI) concept and update the present IFI model parameters for HFST applications based on test findings to gain a better understanding of HFST performance. Two aggregate types in three sizes were tested under controlled polishing cycles. Friction and texture were measured using the Dynamic Friction Tester (DFT) and …

A Controlled-Source Physical Model For Long Period Seismic Events, Sananda Ray, Gregory P. Waite, Radwin Askari

Michigan Tech Publications

Long-period seismic events (LPs) are observed within active volcanoes, hydrothermal systems and hydraulic fracturing. The prevailing model for LP seismic events suggests that they result from pressure disturbances in fluid-filled cracks that generate slow, dispersive waves known as Krauklis waves. These waves oscillate within the crack, causing it to act as a seismic resonator whose far-field radiations are known as LP events. Since these events are generated from fluid-filled cracks, they have been used to analyse fluid transport and fracturing in geological settings. Additionally, they are deemed precursors to volcanic eruptions. However, other mechanisms have been proposed to explain LP …

Recent Advances In Multitone Microwave Frequency Measurement, Md Abu Zobair, Behzad Boroomandisorkhabi, Mina Esmaeelpour

Electrical and Computer Engineering Faculty Research & Creative Works

This review explores various advanced photonic-assisted techniques for microwave frequency measurement, highlighting their distinct advantages and challenges in detecting multi-tone and broadband microwave frequency signals. Different optical processing techniques for instantaneous frequency measurement, including frequency-to-time mapping techniques, are discussed in detail. The application of multicore and few-mode fibers, artificial intelligence-enhanced, and complex modulation techniques are also discussed. These recent advances collectively push the boundaries of microwave frequency measurement, offering robust and scalable solutions for various applications.

Reference Correlations For The Density And Viscosity Of Molten Alkali And Alkaline Earth Fluoride Salts, A. Birri, R. Chesser, N. Termini, J. C. Numbers, Kevin Garland, M. A. Rose

Michigan Tech Publications

While there is a significant body of literature pertaining to thermophysical property measurements of molten salts, there is often a wide degree of variability among independent measurements of the same compounds. As such, the scientific community benefits greatly from an unbiased, independent assessment of duplicate datasets, so that reference correlations which describe these thermophysical properties as functions of temperature can be determined and then commonly used by researchers, scientists, and engineers. With regard to molten fluoride compounds, a significant time has elapsed since density and viscosity reference correlations have been determined; Janz conducted the most recent effort, in 1988, to …

Student-Led Video Podcasting In A Chemical Behavior Of Materials Course, Erick Salvador Vasquez

Chemical and Materials Engineering Faculty Publications

Video podcasts, or vodcasts, are a form of podcasting that combines video and audio to deliver various types of educational content effectively. To our knowledge, very few studies have focused on student-produced podcasting for learning technical engineering concepts. This study explores using student-created technical videos in a course on the chemical behavior of materials through three separate assignments. The first assignment centered on sustainability aspects. Students, divided into groups of three, were tasked to review two influential journal articles on plastic waste input into the ocean and metal recycling. Each group had to prepare and deliver a technical script about …

Hyflex Engagement Tracking, Jane Courtney

Case studies: Digital Education

While authentic assessment methods can be easily implemented in modules that lend themselves to problem-based learning, quality assessment is harder to achieve in more technically rigorous subjects. For these modules, there has been an over-reliance to date on traditional exams. The move online due to COVID-19 made summative assessment of these technical subjects very difficult and also had many academics reporting reduced engagement in the online environment. However, in the technically rigorous Power Systems Analysis module, this challenge was approached as an opportunity to modernise and test online assessment possibilities. This was done through three mechanisms: Numbas*, Rubrics+ and Engagement …

Research Into Job Classifications For Kentucky Department Of Vehicle Regulation Employees, Mallory Brown, Andrew Martin, Jeeyen Koo, Jennifer Walton

Kentucky Transportation Center Research Report

The Kentucky Department of Vehicle Regulation (DVR) faces persistent challenges with employee recruitment, retention, and workforce alignment due to outdated job classifications and compensation structures. This study investigates if DVR’s reliance on the general Administrative Specialist job series is warranted given the duties performed by its staff. Through a job task analysis, financial modeling, and personnel data review, researchers assessed the feasibility of introducing a new DVR-specific job series based on the Vehicle Regulation Specialist (VRS) position currently being used by the Division of Motor Carriers. The proposed VRS series includes two levels — VRS I (Grade 13) and VRS …

Graduate School Blog - June 2025, Cynthia Haynes

UofM Grad School Blog

The June 2025 edition of the UofM Graduate School Blog helps prospective and current students make informed financial decisions with Part 1 of the Graduate School Cost Guide, breaking down tuition structures such as per-credit hour versus flat-rate models, highlighting UofM’s tuition cap for in-state students, and explaining key university fees and cost differences between online and on-campus formats. The blog also features Brianna Reilly, a Doctor of Musical Arts graduate from New York, who shares how a graduate assistantship and her passion for music education led her to continue at UofM through the pandemic. Additional resources include an …

War, Wounds, And Strategy: Patient Movement Lessons From The World Wars For Great Power Competition, Phillip R. Jenkins

Faculty Publications

This thesis examines the evolution of the U.S. military's patient movement system during World War I and World War II to evaluate how well it may perform under the conditions of future large-scale combat operations. It asks whether the United States can move, treat, and sustain wounded personnel at the scale and pace required to preserve combat power in a prolonged, high-intensity conflict. Using detailed case studies of the Meuse-Argonne Offensive and the Battle of the Bulge, the analysis focuses on how transportation platforms, organizational structure, and standard operating procedures (SOPs) shaped patient movement under conditions of attrition, disruption, and …

From Strategy To Setback?: How A New Teaching Method Affected Exam Outcomes In An Engineering Course, Eleazar Marquez, Samuel Garcia Jr.

Mechanical Engineering Faculty Publications

Research indicates that student learning, engagement, and success in engineering education is highly attributed to the classroom environment and incorporating visual supplements to enhance the physical understanding of fundamental concepts. Despite the implementation and success of numerous pedagogical strategies in these domains, many universities across the country continue to struggle with retention rates, both at the institutional level and the college of engineering. To address such academic challenges and promote student success in engineering education, the authors in this study attempted an alternative pedagogical scheme in a Rigid Body Dynamics course taught at a Hispanic-serving institution (HIS) in the 2023 …

Enhanced Removal Of Microplastic Fibres Using Aluminium And Chitosan-Based Coagulants Assisted With Microbubble Technology, Nimesha Thathsarani, Mehdi Khiadani, Muhammad Rizwan Azhar, Masoumeh Zargar

Research outputs 2022 to 2026

Microplastic (MP) pollution has emerged as a threat to drinking water quality, where fibres are the dominant type of MPs found in drinking/wastewater treatment plant influents. The potential of MP removal through conventional treatment has not been vastly studied. Accordingly, this study investigates the removal of MP fibres using two-hybrid methods: coagulation-flocculation followed by sedimentation (CFS); and coagulation-flocculation combined with flotation using microbubbles (CFm) in the presence of two different water matrices, deionised water (DI) containing surfactants and DI water in the presence of humic acid (HA). A typically used Aluminium-based coagulant (AlCl3.6H2O) and a green-based coagulant, Chitosan, were employed …

Farmnav-Uav: A Field-Ready Autonomous Uav For Tracking Static And Dynamic Trajectories In Agricultural Applications, Veera Venkata Ram Murali Krishna Rao Muvva

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

This study presents the design and development of a custom-built uncrewed aerial vehicle (UAV) tailored for precision agriculture. Unlike commercial UAVs, which are often constrained by proprietary systems and limited hardware customization, the proposed platform emphasizes modularity, upgradeability, and cost-effectiveness. The UAV is equipped with a Cube Blue flight controller for reliable low-level actuation and a Raspberry Pi 4 companion computer that executes a Model Predictive Control (MPC) algorithm for high-level trajectory optimization and stability enhancement.

Most conventional UAV autopilot systems rely on non-optimal control strategies, such as proportional–integral–derivative (PID) controllers, which can be inadequate for dynamic or resource-constrained environments. …