Engineering Commons^™

Material Design And Performance Of Carbon Monoxide-Fueled Solid Oxide Fuel Cells: A Review, Wei Zhang, Yun Hang Hu

Michigan Tech Publications, Part 1

Solid oxide fuel cells (SOFCs) are electrochemical energy conversion devices with fuel flexibility. Since carbon monoxide (CO) is a major product of SOFC anodes operating with hydrocarbon fuels, direct utilization of CO as a fuel is expected for more efficient operation of SOFCs. A review on CO-fueled SOFC technologies is imperative to promote research activities in this important field, but it has not been published. In this review, we summarize and comment on literatures in this field, with respect to (1) materials developed for three fundamental components (anode, cathode, and electrolyte), (2) power output and stabilization strategies, and (3) critical …

Twigeenglish, Brian Burnett, Jillian Coveney, Kristin Tong, Nanki Sekhon

Computer Science and Engineering Senior Theses

TwigeEnglish is an educational platform aimed to teach English in a fun and interactive way. It comprises a mobile application for students and a web application for pre-determined administrators. The mobile application offers three key features which include: a pictionary-like game, a dictionary flash card game, and a user-friendly interface for uploading photos to be used in both games. The web application will primarily focus on providing administrators with an interface to manage the student-photo database. With moderation powers, administrators can seamlessly review and make decisions to approve or deny the inclusion of photos in the active pictionary and dictionary …

Screening Of Microorganism Mutations Using Microbial Fuel Cell Activity, Grant Gini, Joshua Chansky

Bioengineering Senior Theses

Microbial fuel cells (MFC) are a rapidly growing field of interest with potential for clean energy production, effluent/waste capture and purification. Drawbacks associated with MFCs is the short duration of the peak current, discouraging integration into emerging nanogrids, as well as the operational cost associated with the infrastructure, offsetting the net cost of power generation. With the objective of quantifying the success of genetic mutations using the MFC to address the above-mentioned problem-solving opportunities, the following specific aims were formulated in this study: 1) To measure current as a metric for growth/catalytic activity for microencapsulated microorganisms, and, 2) To optimize …

Poster: Round Trip Time Measurement Over Microgrid Power Network, Yasin Emir Kutlu, Ruairí De Fréin, Malabika Basu, Ali Malik

Conference papers

A focus of the Power Systems and Networking communities is the design and deployment of Microgrid (MG) integration systems that ensure that quality of service targets are met for load sharing systems at different endpoints. This paper presents an integrated Microgrid testbed that allows Microgrids endpoints to share their current, voltage and power values using a Network Published Shared Variable (NPSV) approach. We present Round Trip Time (RTT) measurements for time sensitive Microgrid control traffic in the presence of varying background traffic as an example quality of service measurement. Numerical results are presented using a range of different background traffic …

Round Trip Time Measurement Over Microgrid Power Network, Yasin Emir Kutlu, Ruairí De Fréin, Malabika Basu, Ali Malik

Conference papers

A focus of the Power Systems and Networking communities is the design and deployment of Microgrid (MG) integration systems that ensure that quality of service targets are met for load sharing systems at different endpoints. This paper presents an integrated Microgrid testbed that allows Microgrids endpoints to share their current, voltage and power values using a Network Published Shared Variable (NPSV) approach. We present Round Trip Time (RTT) measurements for time sensitive Microgrid control traffic in the presence of varying background traffic as an example quality of service measurement. Numerical results are presented using a range of different background traffic …

Nonlinear Impact-Echo Test For Quantitative Evaluation Of Asr Damage In Concrete, Clayton Malone, Hongbin Sun, Jinying Zhu

Department of Civil and Environmental Engineering: Faculty Publications

Nonlinear acoustic methods demonstrate high sensitivity for concrete damage evaluation. Among these methods, nonlinear resonance acoustic methods have been widely used in laboratory tests on small scale test samples. In this study, a nonlinear impact-echo (IE) method was proposed for concrete damage evaluation, in which the IE frequency shift was measured at different impact force levels. The nonlinear IE test is similar to the nonlinear impact resonance acoustic spectroscopy (NIRAS) test in the experimental setup and analysis method. How- ever, the nonlinear IE test excites a local thickness resonance mode of a member instead of the global resonance vibration. Therefore, …

Nonlinear Impact-Echo Test For Quantitative Evaluation Of Asr Damage In Concrete, Clayton Malone, Hongbin Sun, Jinying Zhu

Department of Civil and Environmental Engineering: Faculty Publications

Nonlinear acoustic methods demonstrate high sensitivity for concrete damage evaluation. Among these methods, nonlinear resonance acoustic methods have been widely used in laboratory tests on small scale test samples. In this study, a nonlinear impact-echo (IE) method was proposed for concrete damage evaluation, in which the IE frequency shift was measured at different impact force levels. The nonlinear IE test is similar to the nonlinear impact resonance acoustic spectroscopy (NIRAS) test in the experimental setup and analysis method. How- ever, the nonlinear IE test excites a local thickness resonance mode of a member instead of the global resonance vibration. Therefore, …

Coordinating Tethered Autonomous Underwater Vehicles Towards Entanglement-Free Navigation, Abhishek Patil, Myoungkuk Park, Jungyun Bae

Michigan Tech Publications, Part 1

This paper proposes an algorithm that provides operational strategies for multiple tethered autonomous underwater vehicle (T-AUV) systems for entanglement-free navigation. T-AUVs can perform underwater tasks under reliable communication and power supply, which is the most substantial benefit of their operation. Thus, if one can overcome the entanglement issues while utilizing multiple tethered vehicles, the potential applications of the system increase including ecosystem exploration, infrastructure inspection, maintenance, search and rescue, underwater construction, and surveillance. In this study, we focus on developing strategies for task allocation, path planning, and scheduling that ensure entanglement-free operations while considering workload balancing among the vehicles. We …

Advances In Spacecraft Thermal Control, Sandra K. S. Boetcher, Robert C. Consolo Jr.

Publications

Spacecraft thermal management is critical for ensuring mission success, as it affects the performance and longevity of onboard systems. A comprehensive overview of the state of the art in spacecraft thermal control solutions, as well as a design methodology framework for efficient and effective thermal management, is provided. Various thermal control solutions, including coatings, insulation, heat pipes, phase-change materials, conductive materials, thermal devices, actively pumped fluid loops, and radiators, are discussed along with the primary sources of heat loading in space. The need for accurate modeling and analysis of the thermal environment to identify appropriate thermal control solutions and design …

Whether-Weather, Lucas Voron, Graham Purvis, Malcolm Weaver, Josh Kelleran

Computer Science and Engineering Senior Theses

The WhetherWeather project is a comprehensive weather and traffic forecasting system that provides real-time insights and predictions. It utilizes Python programming language and various data sources, including Inrix data for traffic information and weather data from Meteostat. The system employs machine learning techniques, specifically XGBoost, to train models on historical data. Once trained, the models can accurately forecast traffic conditions based on weather data. To visualize the results, a Flask API is available, allowing users to access the system's functionalities through a web interface. For more information and to access the WhetherWeather website, visit WhetherWeather.org.

Singular Value Decomposition And Transformer-Based Image Super Resolution, Andy Qin, Chen Zhang, Timothy Cui

Computer Science and Engineering Senior Theses

Image super-resolution (ISR) is a prominent field in computer vision that aims to enhance the quality and resolution of low-resolution images. It finds widespread applications in various domains, including surveillance, satellite imagery, medical imaging, and media. The primary objective of ISR is to improve the visual quality and level of detail in low-resolution images. In this paper, we propose the Singular Value Decomposition and Transformer-based Image Super Resolution (SVDTIR) model, which combines both traditional and deep learning approaches to achieve image super-resolution. The SVDTIR model consists of three stages: image pre-processing, which employs the singular-value decomposition (SVD) algorithm to decompose …

Climate Cloud, Atiyut Khemkhon, Dylan Lin

Computer Science and Engineering Senior Theses

The increasing frequency and intensity of drastic climate change events have underscored the urgency for a comprehensive understanding of climate dynamics and the development of effective mitigation and adaptation strategies. In this context, our thesis addresses the critical issue of drought category prediction in Western America using machine learning techniques. We recognize the interconnectedness of efforts aimed at combating climate change and strive to make a meaningful contribution to the broader understanding of climate change, even if our impact may seem comparatively smaller. By leveraging the power of machine learning algorithms and utilizing a wide range of climatic and environmental …

Magnetic-Induced Swing Adsorption Over Iron Oxide/13x: Effects Of Particle Size And Oxide Phase On Sorbent Regeneration In Ethylene/Ethane Separation, Khaled Baamran, Ali A. Rownaghi, Fateme Rezaei

Chemical and Biochemical Engineering Faculty Research & Creative Works

Magnetic induction has emerged as a viable method for regeneration of sorbents during separation processes. In this work, we investigated the efficacy of magnetic sorbents comprising iron oxide and zeolite 13X in ethylene/ethane separation via a magnetic induction process. The electromagnetic properties of the sorbents were tuned by varying the iron oxide (Fe₂O₃) particle size (30 nm, 100 nm, 5 μm) and iron oxide phase structure (FeO, Fe₂O₃, Fe₃O₄) at 20 wt % loading. The effects of these parameters on adsorption capacity, selectivity, and desorption rates were systematically …

Uncovering Transient Dynamics And Equilibrium States Of Particle Aggregates With RaúL BayoáN Cal, RaúL BayoáN Cal

PDXPLORES Podcast

In this episode of PDXPLORES, Raúl Bayoán Cal, Professor of Mechanical & Materials Engineering at the Maseeh College of Engineering and Computer Science, discusses his latest National Science Foundation award-winning research, Uncovering Transient Dynamics and Equilibrium States of Particle Aggregates in Fluids, investigating transient dynamics of fluid mechanics in the absence of gravity. These experiments, which utilize the Dryden Drop Tower and research facilities aboard the International Space Station, will benefit the study of granular media in aggregation models such as pollen deposition, algae growth, and plastic pollution.

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Evaluating Parameter Uncertainty In Transportation Demand Models, Natalie Mae Gray

Theses and Dissertations

The inherent uncertainty in travel forecasting models -- arising from errors in input data, parameter estimation, or model formulation -- is receiving increasing attention from the scholarly and practicing community. In this research, we investigate the variance in forecasted traffic volumes resulting from varying the mode and destination choice parameters in an advanced trip-based travel demand model. Using Latin hypercube sampling to construct several hundred combinations of parameters across the plausible parameter space, we introduce substantial changes to mode and destination choice logsums and probabilities. However, the aggregate effects of of these changes on forecasted traffic volumes is small, with …

Toward Low Carbon Footprint And Lightweight Masonry Alkali-Activated Material, Zina Ebrahim, Mohammad Mastali, Marc Maguire

Durham School of Architectural Engineering and Construction: Faculty Publications

The portland cement concrete industry and the masonry industry are undergoing changes in response to skilled labor shortages and concerns over climate and pollution. There may be interest from parts of the industry in lower carbon footprint and lightweight masonry products. Toward this aim, the use of hemp shiv--the woody core of the hemp plant--in alkali-activated concrete was investigated herein and shown to have a wide range of impacts on the hardened state characteristics of a material suitable for structural concrete masonry units (CMUs) in accordance with ASTM C90 requirements. Hemp shiv is well known for its use in hempcrete, …

Time-Orbiting-Potential Chip Trap For Cold Atoms, C. A. Sackett, J. C. Stickney

Space Dynamics Laboratory Publications

We present a design for an atom chip trap that uses the time-orbiting-potential technique. The design offers several advantages compared with other chip-trap methods. It uses a simple crossed-wire pattern on the chip, along with a rotating bias field. The trap is naturally close to spherically symmetric, and it can be modified to be exactly symmetric in quadratic order of the coordinates. Loading from a magneto-optical trap is facilitated because the trap can be positioned an arbitrary distance from the chip. The fields can be modified to provide a gradient for support against gravity, and the three-dimensional trap can be …

Underwater Robot Path Planning In An Intermittent Communication System, Hunter Gallant

Dartmouth College Master’s Theses

Sunflower, a novel cross-medium localization system between an aerial drone and an underwater robot, has not yet been implemented in a multi-robot exploration system. This project’s aim was to simulate various configurations of multi-robot systems, and to create an algorithm, called AdjustPath, to improve exploration and avoid inter- robot collisions. With three, five, seven, and ten simulated underwater robots, there was significant improvement when the AdjustPath algorithm was used. Knowing this, future hardware using the Sunflower system could use this proposed algorithm to increase efficiency and avoid more collisions.

Intraoperative Quantification Of Bone Perfusion In Lower Extremity Injury Surgery, Xinyue Han

Dartmouth College Ph.D Dissertations

Orthopaedic surgery is one of the most common surgical categories. In particular, lower extremity injuries sustained from trauma can be complex and life-threatening injuries that are addressed through orthopaedic trauma surgery. Timely evaluation and surgical debridement following lower extremity injury is essential, because devitalized bones and tissues will result in high surgical site infection rates. However, the current clinical judgment of what constitutes “devitalized tissue” is subjective and dependent on surgeon experience, so it is necessary to develop imaging techniques for guiding surgical debridement, in order to control infection rates and to improve patient outcome.

In this thesis work, computational …

Evaluating Effects Of Urban Growth Within The Greater Salt Lake Area On Local Meteorological Conditions Using Urban Canopy Modeling, Corey L. Smithson

Theses and Dissertations

The increasing urbanization of the greater Salt Lake City area (GSLA) has contributed to the development of an urban canopy over this area. This canopy refers to the effects of building profiles, varying land surface properties and anthropogenic heating on local meteorological conditions including temperature, humidity, and wind velocity. Urban Canopy Models (UCMs) can be used to represent these characteristics on a mesoscale without needing to develop models accounting for effects of individual buildings. One method used to classify urban areas are Local Climate Zones (LCZs), which assign different properties to different types of urban areas. A baseline model that …

Predictive Modeling The Impact Of Engineered Products In Dynamic Sociotechnical Systems: An Agent-Based Approach, Christopher S. Mabey

Theses and Dissertations

The impact of engineered products is a topic of increasing concern in society. The impact of a product can fall into the categories of economic, environmental, or social impact; the last category is defined as the effect of a product on the daily lives of people. Design teams lack sufficient tools to help improve the impact of products and understand the impact of products at scale in society. This dissertation aims to provide insight and methods for improving the social, environmental, and economic impact of engineered products. The majority of the research focuses on the prediction of product impacts on …

In Situ Formation Of Silica Nanoparticles Decorated With Well-Defined Homopolymers And Block Copolymers, Fatimah Aldakheel, Konstantinos Ntetsikas, Arief Yudhanto, Gilles Lubineau, Nikos Hadjichristidis

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Grafting non-polar polymer chains on the surface of polar nanoparticles (e.g., silica) is an effective way to enhance particle/matrix interactions and thus promote their homogeneous dispersion within a non-polar matrix, which leads to improved mechanical properties. Current grafting methods have not yet produced nanoparticles with well-defined polymers on the surface and high grafting density. Here, we employed anionic polymerization high vacuum techniques to synthesize ω-triethoxysilyl polystyrene (PS-TEOS) and PS-b-PI macromonomers followed by hydrolysis/condensation of macromonomers, leading to the in-situ formation of grafted (grafting through) silica nanoparticles with either PS or polystyrene-b-polyisoprene (PS-b-PI) chains. The molecular characteristics of the precursors PS-TEOS …

Evaluating The Feasibility Of Bioenergy Production From Single And Mixed Beverage Waste And Sewage Sludge Through An Integrated Hydrothermal Liquefaction-Anaerobic Digestion System, Oluwayinka Michael Adedeji

Theses and Dissertations

Beverage waste and sewage sludge are two of the most generated waste-based biomasses. Recent interest in the hydrothermal liquefaction (HTL) of these wastes pointed to the generation of a byproduct of high dissolved organic carbon [also called aqueous co-product (ACP)]. However, ACP is being discarded which not only increases the environmental footprints of the HTL process but also results in reduced bioenergy potential. Hence, anaerobic digestion (AD) is touted as an effective utilization process of ACP for further bioenergy recovery. This study evaluated the feasibility of producing bioenergy (biocrude and biomethane) from the combination of beverage waste and sewage sludge …

Hybrid Photovoltaic + Battery Energy System Grid-Tied Converter Capstone Review Thesis, Archer Taylor

University Honors Theses

Hybrid power converters present an opportunity to more efficiently harness energy from renewable sources. This paper reviews an undergraduate senior capstone project with the goal of designing and verifying the benefits of a hybrid converter, combining a photovoltaic array, battery energy system and a DC-AC inverter. The author recounts their experience throughout the 6 month period, detailing the research and design process followed by the prototype testing. Additionally, they reflect on the struggles of the capstone team and how to apply the learnings in the future.

Ai-Powered Iot Monitoring And Security For Smart Homes, Paul Boldyrev, Timothy Hradil, Matthew Ding

Computer Science and Engineering Senior Theses

Smart home devices are becoming increasingly popular across the United States. Unfortunately, in order to keep the cost of these devices down, manufacturers tend to place cybersecurity measures lower on their list of priorities. As a result, these devices have become targets for security breaches like the Mirai Botnet and distributed denial of service (DDoS) attacks. The cybersecurity solutions currently available on the market are either expensive, difficult to set up, or follow a static set of rules for attack detection. In this thesis, we propose a novel approach to detecting attacks on Internet of Things (IoT) devices through the …

Research Development & Early-Career Faculty: Catalysts Of Change For Diversity, Equity, And Inclusion In Stem, Monica Castañeda-Kessel, Idalis Villanueva Alarcón, Ryan Berke

Office of Research Faculty and Staff Publications

Problem Statement: Early-career science, technology, engineering, and math (STEM) faculty members are often challenged when identifying authentic diversity, equity, and inclusion (DEI) goals, objectives, and tasks for their research grant proposals. Advancing DEI has not been one person’s job but rather the responsibility of a highly organized network within a system. Research development professionals have been and will continue to be critical resources for developing DEI plans and broadening participation. Their value is partly due to relationship-oriented processes that research professionals cultivate and shepherd as well as the inherently cross-disciplinary nature of the day-to-day work. Observation: In FY 19, 53% …

Experimental Evaluation Of Smart Electric Meters’ Resilience Under Cyber Security Attacks, Harsh Kumar, Oscar A. Alvarez, Sanjeev Kumar

Electrical and Computer Engineering Faculty Publications

For the first time, commercial grade smart meters have been subjected to cyber security attacks to understand their operation and security resilience under different attack scenarios. Cyber security is a matter of top concern for utility companies installing smart meters for remote collection of power usage data from customer premises. Keeping power-usage data secure and to maintain system’s resiliency under cyber security attacks is very important. In Smart electric grids, the power usage data from smart meters are periodically reported to the utility company. Reporting and remote monitoring of power usage data requires the use of data network protocols, which …

Artificial Scaffold And Neural Stem Cell For Neural Regeneration In Rats With Spinal Cord Injury, Krishna Deo Sharma

Student Theses and Dissertations

Spinal cord injury (SCI) is a devastating condition that often leads to permanent loss of sensory and motor function. Unfortunately, current treatments only manage symptoms and do not provide a complete cure. In this study, we investigated the effectiveness of 3D printed scaffolds and nanomaterials (gold nanorods substrate, nanocellulose-lysine, and TEMPO cellulose) in supporting the growth and differentiation of neural stem cells (NSCs) in vitro. We found that these materials were biocompatible, non-toxic, and able to promote the growth and differentiation of NSCs. Additionally, the unique mechanical properties of these nanomaterials make them a promising candidate for use in neuroregeneration …

Cometrics: A New Software Tool For Behavior‑Analytic Clinicians And Machine Learning Researchers, Walker S. Arce, Seth G. Walker, Morgan L. Hurtz

Department of Electrical and Computer Engineering: Faculty Publications

Cometrics is a Microsoft Windows compatible clinical tool for the collection and recording of frequency- and duration-based target behaviors, physiological signals, and video data. This software package is designed to record in-vivo observational and physiological data. In addition, we have included features that allow observers to capture video from real-time camera feeds and import saved video for retroactive data collection. By using Microsoft Excel-based spreadsheets, also called keystroke files, assessment and treatment sessions are exported into a single document using the click of a button. Integrated interobserver agreement metrics allow comparisons across primary and reliability observers, with the output exported …

Real-Time Filters, Spencer Smith

Thinking Matters Symposium

This project's goal is to create a visual representation of digital signal processing using a Raspberry Pi Pico board. External components will interface with the Pico to supply digital signals and display the results after processing the signal. A microphone will supply the signal to the Pico which will perform a Fourier Transform on the data and output a spectrogram to a display. The display is named ILI9341 which includes an SPI interface, micro SD card slot, and a 2.2 inch screen. The spectrogram includes the magnitudes of the transformed signal at each frequency and time. Each magnitude is illustrated …