Digital Commons Network^™

Training Machine Learning Algorithms For The Transient Startup Of A Long-Life Modular Microreactor, Ahmad N. Shaheen

Nuclear Engineering ETDs

There is an increasing interest in developing and deploying small modular nuclear reactors (SMRs) and micro modular reactors (MMRs). They could be operated with minimal on-site personnel or remotely with a high degree of autonomy. This can be enabled through the use and application of Artificial Intelligence (AL) and Machine Learning (ML) algorithms and methods. The objective of the present work is to train machine learning algorithms for remote control mimicking the transient startup of the Very-Small, Long-LIfe, Modular (VSLLIM) microreactor. This walk-away safe microreactor design and a fully integrated transient model have been developed at the University of New …

Predictive Modeling And Sustainability Assessment Of Hydrothermal Liquefaction Of Seaweeds: A Techno-Economic And Life Cycle Analysis Approach, Micheal O. Asama

Mechanical Engineering Theses

This study presents comprehensive predictive models and an economic and environmental assessment of HTL for converting macroalgae into biofuels and valuable co-products. Predictive models were developed based on experimental kinetic data to simulate batch HTL of brown seaweed, capturing the yields of biocrude, gas, biochar, and water-soluble compounds as functions of key process variables, including temperature, time, pressure, and water-to-biomass ratio. Analysis of Variance (ANOVA) confirmed that temperature and residence time significantly affect biocrude yield, with an optimal yield of 23% achieved at 283°C, 200 bar, 54 minutes, and a 10:1 water-to-biomass ratio. The model’s predictive accuracy was validated with …

12.02.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Email Address Matters

All of Us Researcher Symposium

Welcome Anya Goldman

Optimized Fabrication Of Dendritic Mesoporous Silica Nanoparticles As Efficient Delivery System For Cancer Immunotherapy, Varsha Godakhindi, Mostafa Yazdimamaghani, Sudip Kumar Dam, Farzana Ferdous, Andrew Z. Wang, Mubin Tarannum, Jonathan Serody, Juan L. Vivero-Escoto

Chemical and Biochemical Engineering Faculty Research & Creative Works

In the past decade, cancer immunotherapy has revolutionized the field of oncology. Major immunotherapy approaches such as immune checkpoint inhibitors, cancer vaccines, adoptive cell therapy, cytokines, and immunomodulators have shown great promise in preclinical and clinical settings. Among them, immunomodulatory agents including cancer vaccines are particularly appealing; however, they face limitations, notably the absence of efficient and precise targeted delivery of immune-modulatory agents to specific immune cells and the potential for off-target toxicity. Nanomaterials can play a pivotal role in addressing targeting and other challenges in cancer immunotherapy. Dendritic mesoporous silica nanoparticles (DMSNs) can enhance the efficacy of cancer vaccines …

Direct Methanol Fuel Cells Using Pure Methanol, Ryan Spragg

McKelvey School of Engineering Graduate Student Theses & Dissertations

Fuel cell technology has attained significant appeal as a form of renewable energy in recent years due to its diverse applications, various fuel types, and lower greenhouse gas emissions. Of the various fuel cell types, direct methanol fuel cells (DMFCs) hold a set of distinct advantages for stationary and small portable applications. These advantages include faster refueling compared to battery charging, high gravimetric energy density, and ease of production and use compared to hydrogen. However, the DMFC has numerous technical hurdles that prevent its widespread adoption into the commercial market. Namely, the slow reaction kinetics in the anode and the …

Custom Cathode Optimization For Electropolishing Additively Manufactured 316l Stainless Steel, Kasandra Escarcega Herrera

Mechanical Engineering ETDs

Laser powder bed fusion (LPBF) has become increasingly popular for its ability to rapidly manufacture complex metallic parts. However, the surface properties of as-built LPBF parts may degrade overall performance due to tortuous surface features. Consequently, post-processing like electropolishing (EP) to reduce the surface asperities is often needed for LPBF parts to perform as expected. Utilizing experimental and computational approaches, this project aims to more uniformly EP complex shaped parts made from LPBF 316L. For the experimental approach, parts with a three-dimensional T-shape were printed out of 316L stainless steel and EP using an acidic-based and a polyethylene glycol/NaCl-based electrolyte. …

Ge/Sige Quantum Wells: Material For The Post-Moore Era, Troy Alexander Hutchins-Delgado

Optical Science and Engineering ETDs

This dissertation demonstrates high-quality germanium quantum wells on a 200 mm silicon wafer platform, enabling novel device possibilities. Partnering with a commercial silicon-germanium epitaxy supplier, we obtained shallow, undoped germanium quantum wells with high-crystalline quality, confirmed through x-ray diffraction, secondary ion mass spectroscopy, high-resolution scanning transmission electron microscopy, and energy dispersive x-ray spectroscopy. Hall bar devices fabricated on single quantum wells revealed that surface preparation can tune transport properties while maintaining peak mobilities around 10⁵ cm²V⁻¹s⁻¹. Manganese-germanide spintronic contacts were integrated via solid-state reaction, with contact quality assessed through Schottky diodes, transfer length …

Drainage Area Limitations Of Single Watershed, Peak Flow Estimates From Nrcs Methods, Timothy Alexander Maughan

Theses and Dissertations

Most roadway design sections of state Departments of Transportation predict peak flow for culvert design using Natural Resources Conservation Service (NRCS) TR-20 methodology. Even though the approach is more than 50 years old, there is no clear guideline for how large a single watershed drainage area may be while remaining appropriate for predicting peak discharge with this method. Our objective is to identify the drainage area where TR-20 peak flow predictions significantly deviate from flow frequency predictions. We aim to recommend to the Nebraska Department of Transportation (NDOT) a range of basin drainage areas appropriate for predicting peak flow using …

Traveling-Wave Vibration Control And Comparison Of Individuals With Insomnia And Good Sleepers Using Eeg Spectral Power And Sample Entropy, Joseph T. Lecheminant

Theses and Dissertations

This thesis explores the intersection of whole-body vibration (WBV) and neurophysiological analysis to improve sleep quality and understanding of insomnia. The work is divided into two primary areas: the development of a novel traveling-wave vibration system for sleep enhancement and the analysis of electroencephalography (EEG) metrics in individuals with insomnia versus good sleepers. A vibrating sleep system capable of generating programmable traveling-wave patterns is designed and prototyped. Through iterative development and user trials, the system enables highly controlled mechanical stimulation in the form of traveling-wave vibration. Key advancements include independent amplitude and speed modulation and customizable wave patterns. Simple wave …

An Experimental Investigation Of Signal Processing Techniques For Vibration-Based Structural Health Monitoring In Residential Buildings Subjected To Base Excitation, Fedaa Ali

Electrical Engineering Theses

Coastal regions, particularly in the southeastern United States, are consistently confronted with the ongoing threat of hurricane-induced damage to their buildings. Consequently, there is a pressing need to concentrate efforts on the evaluation and prediction of structural integrity and reliability in such environments. This is paramount for minimizing losses and enhancing public safety in the face of these challenging climatic conditions. Current structural health monitoring systems are typically customized for specific buildings, rendering them excessively expensive and impractical for residential structures. This research presents a comprehensive study of signal processing techniques and damage detection for an economical yet efficient structural …

Cellular Air Quality Sensors With Lora Backchannel A Robust Sensor Suited For Remote Deployment In Harsh Environments, Joseph R. Miera

Theses and Dissertations

Air quality significantly impacts health and overall quality of life, making its measurement essential. However, most affordable air quality devices are designed only for use within WiFi range and cannot handle extreme temperatures, limiting their usefulness for people in remote or extreme environments, such as regions with harsh winter climates. This limitation is concerning, as winter often brings worse air quality due to temperature inversions that trap pollutants and increase fuel burning for heating. Inversion is a problem as close to home as Utah Valley, and as far away as Ulaanbaatar, Mongolia. Most low-cost air quality sensors are not built …

Physics-Informed Transfer Learning For Process Control, Samuel Arce Munoz

Theses and Dissertations

In the realm of process control, managing complex systems with limited prior knowledge presents significant challenges, particularly in environments where traditional mechanistic models are either unavailable or computationally prohibitive. This work explores the integration of deep transfer learning with system identification and Model Predictive Control (MPC) to develop control strategies that are both data-efficient and computationally streamlined. Initially, Long Short-Term Memory (LSTM) networks are employed to create approximate MPC controllers by leveraging transfer learning from a source system to a target system, demonstrating that transfer learning can achieve comparable performance to traditional MPC methods with reduced training data. Building upon …

Securing Legacy Multivalue Pick Systems Modernized By Restful Web Service Apis, Jacob S. Lee

Theses and Dissertations

With more applications accessible on the Web, organizations with mission-critical legacy systems have had to find a way to stay relevant and competitive by modernizing with RESTful APIs. REST architecture, serving as a guideline rather than a strict protocol, offers significant advantages in terms of scalability, flexibility, and independence; however, its widespread adoption has also led to notable security vulnerabilities and weaknesses. Additionally, there is not one all-encompassing security testing methodology to follow when testing RESTful APIs. For this reason, a new security testing methodology was developed for legacy MultiValue Pick systems that implement the REST API component, MVConnect. The …

The Assessment Of Liquefaction Surface Ejecta Predictions On A New Large Dataset From The 2012 Emilia Romagna, Italy Earthquakes, Holten T. Flinders

Theses and Dissertations

The presence of a non-liquefied crust overlying a liquefied layer has been found to have a significant effect on sand ejecta and surficial liquefaction damage, as observed by Ishihara (1985). Following the 2010-2011 Canterbury seismic sequence in New Zealand, almost no foundation deformation occurred in areas with liquefaction susceptible soils overlain by at least a 3 m-thick crust [3]. In contrast, the 2012 Emilia-Romagna earthquake in Italy provided surface evidence of liquefaction despite 6- to 10 m-thick crusts. Several researchers have proposed liquefaction prediction models [e.g. LPI [6], Ishihara Curves [8], LSN [9], LPIISH [10] and the methods proposed by …

Towards Rare Event And Anomaly Prediction In Manufacturing: Bridging Methodological Gaps In Industrial Applications, Chathurangi Shyalika, Renjith Prasad, Ruwan Wickramarachchi, Amit Sheth

Publications

Rare event prediction is critical in industrial applications, including real-world Industry 4.0 applications. These events, defined by their low occurrence frequency, are often difficult to predict due to the skewed data distribution, which complicates modeling and evaluation. In our research, we provide a comprehensive review of current approaches to rare event prediction across four key dimensions: rare event data, data processing techniques, algorithmic approaches, and evaluation methodologies [1]. By analyzing diverse datasets with multiple modalities, including numerical, image, text, and audio, we categorize the primary challenges and present the gaps in current research. Specifically, we present three novel research contributions …

Predicting Chaotic Systems With Quantum Echo-State Networks, Erik Connerty, Ethan N. Evans, Gerasimos Angelatos, Vignesh Narayanan

Publications

Recent advancements in artificial neural networks have enabled impressive tasks on classical computers, but they demand significant computational resources. While quantum computing offers potential beyond classical systems, the advantages of quantum neural networks (QNNs) remain largely unexplored. In this work, we present and examine a quantum circuit (QC) that implements and aims to improve upon the classical echo-state network (ESN), a type of reservoir-based recurrent neural networks (RNNs), using quantum computers. Typically, ESNs consist of an extremely large reservoir that learns high-dimensional embeddings, enabling prediction of complex system trajectories. Quantum echo-state networks (QESNs) aim to reduce this need for prohibitively …

Enhancement Of Ambient Air Quality Index Forecasting Using Optimized Ensemble Model, Vanitha M

Theses and Dissertations

Forecasting ambient air quality is essential for environmental sustainability and public health, especially in heavily populated regions such as China, India, and the United States where air pollution remains a serious concern. Traditional forecasting models often struggle to accurately represent air quality data because of its complex patterns and nonlinear interactions. To address these challenges and improve forecast performance, this research proposes a comprehensive strategy that integrates parallel heterogeneous ensemble modeling with Bayesian optimization.

The study begins with a seasonal machine learning–based imputation technique (SeasonalMLImpute) designed to handle missing data in meteorological and air quality parameters. This method is evaluated …

Mems 411: Electrostatic Precipitator Design For Washu Racing Composites Team, Robert J. Wild, Takato Muro, Jackson Ford, David Wiggin

Mechanical Engineering Design Project Class

The objective of this paper is to develop an effective method to remove carbon fiber particulates from the air in the WashU Racing garage using electrostatic precipitation.

Mems 411: Talking Goniometer, Jeffrey Reinhold, Matthew Ren, Corin Riahi, Moises Rodriguez

Mechanical Engineering Design Project Class

Our project is about designing a goniometer that will aid Rachel Apter, an occupational therapy graduate student, more easily determine the angles created by limbs bending about a joint. A goniometer is essentially a protractor designed to affix its base arm to a stationary limb and it’s rotating arm to a moving limb. The moving arm follows the moving limb, measuring the coupled limb’s range of motion. The main complaint centering around goniometers is that they are hard to read due to the small tick marks that indicate the angle. To fix this problem, the goniometer will be edited to …

Mems 411: The Ball Bearing Sorter Group N, Jack Zhao, Anri Cifuentes, Shawn Xiong, Richard Li

Mechanical Engineering Design Project Class

The challenge was to design and develop an automated device capable of sorting and packaging six types of ball bearings—varying in size (1/4 inch and 1/2 inch) and material (stainless steel, brass, and nylon). The device needed to meet strict performance and design constraints, including fitting within a compact 20x20x20-inch footprint, weighing no more than 15 pounds, and sorting bearings with high speed and accuracy.

This problem represents a practical scenario in automated manufacturing, where efficient and precise sorting is crucial for streamlining assembly line operations. The solution required integrating innovative engineering mechanisms, such as size differentiation, material separation, and …

Mems 411: Mailbox Assistant, Peter Scholl, Benjamin Cortes, Garbiel Arcas, Colin Zeiss

Mechanical Engineering Design Project Class

Oftentimes elderly people struggle with reaching into their curbside mailbox from their car, especially if the mail is pushed all the way to the back. With the Mailbox Assistant, sore shoulders can be saved through a drawer that slides out from the mailbox. This modification can be made to any mailbox without altering the outside appearance thus keeping it within HOA standards.

Mems 411: Hydroponic Gardening System, Tiger Lu, Aj Shanahan, Jaquelin Guzman, Brandon Lacy

Mechanical Engineering Design Project Class

This report summarizes the engineering design process undertaken for the development of a hydroponic gardening system. The project began with selecting a concept, as a team, we decided to focus on designing a system tailored to community gardening needs. The report is organized into five main sections: Problem Understanding, Concept Generation, Concept Selection, Concept Embodiment, and Design Refinement. In the Problem Understanding phase, the team conducted extensive research on patents, codes and standards, user needs, design metrics, and project management. This foundational research was critical to ensure all aspects were considered before beginning the building process. User needs were identified …

Mems 411: Timed Mosquito Egg Container Design Project, Paige Warren, Witt Ciesla, Ethan Sobel

Mechanical Engineering Design Project Class

The goal of this project is to design and construct a device that allows for the controlled study of mosquito egg-laying behavior in response to artificial light and temperature variations. Specifically, the device will limit access to cups of standing water, which serve as egg-laying sites, to preprogrammed times of day over a 7-day period.
The device should ensure the following:

• Control Access: The container should be open and closed at predetermined intervals, allowing mosquitoes to access the cups of standing water only during these times.
• Programmability: It should be easy for a novice to specify the opening and closing …

Mems 411: Ball Bearing Sorter, Abdissa Effa, Juliet Whitehead, Ayub Shifa

Mechanical Engineering Design Project Class

The challenge is to design and fabricate a compact device capable of autonomously sorting and transporting ball bearings of varying materials (chrome steel, brass, nylon) and sizes (¼” and ½”) into designated packaging stations. The device must operate efficiently, accurately, and within the constraints of a 20x20x20-inch enclosure, meeting industrial assembly line standards of speed and precision while minimizing human intervention. It aims to address the need for high-rate sorting systems in manufacturing environments, ensuring accurate material identification and classification for streamlined operations.

Mems 411: Asme Ball Bearing Sorter, Ryan Lively, Joseph Huster, Wil Collins

Mechanical Engineering Design Project Class

The ASME Student Design Competition focused on the design and construction of a ball bearing sorter. This ball bearing sorter must be capable of sorting 2 sizes of ball bearings, being 1/2 inch and 1/4 inch. For each size, there are 3 different bearing materials, brass, steel, and acetal plastic. The device is intended to have the bearings fed into a hopper, and then fully autonomously sort the bearings. The autonomous sorting was to transport the various bearings into 6 different packing stations, one for each size and material bearing. These packing stations must be easily removable. This design project …

Mems 411: Automated Assistive Toilet, Alex Scaff, Kenna Mcgahren, Daniel Sibley

Mechanical Engineering Design Project Class

How do we make toilets more accessible for all people - regardless of physical, mental, emotional impediments - while also ensuring simplicity and cost-effectiveness? Utilizing sensors, our toilet device is designed to automatically open and close the toilet lid upon approach, increasing ease of use and general hygiene of the user while being friendly to those who struggle with certain disabilities or impairments.

Mems 411: Adjustable Desk, Catryn Cattoor, Natalia Pilpil, Jamie Burgasser, Adam Wong

Mechanical Engineering Design Project Class

Design and create a desk for a special education classroom of kindergarteners to third graders. The desk needs slanting capabilities, wheel chair accessibility, raising/lower capabilities, distraction prevention capabilities, and light board capabilities. These capabilities need to be configurable for students with different needs. This desk also needs to be very durable, safe, and mobile. The main motivation for this project is the desire to provide the teacher and her students with a single, cost-effective product that is safe, easy to use, and meets their desired needs.

Mems 411: Group V Ball Bearing Sorter, Matthew Hernandez, Sean Huffert, Ethan Delair

Mechanical Engineering Design Project Class

After a semester of hard work, Team V is proud to unveil its finished prototype for the 2024-2025 ASME Student Design Competition. The theme of this challenge was "Assembly Line Sorting and Packaging." The goal of this challenge was to make a device able to satisfy the criteria of sorting between six different bearings of different sizing and material properties, and meeting spatial and time limitations. This device needed to be fast, accurate, compact, and able to sort in bulk. Team V feels like we have met most of these requirements with our final design prototype. For this project, a …

Mems 411: Rc Plane Mount For Cfd Validation, Jake Schwartz, Margot Jay, Ian Torres, Sam Ehrman

Mechanical Engineering Design Project Class

Washington University in St. Louis’ Design/Build/Fly team (WashU DBF) participates in an annual international competition with over 100 teams where they create a Remote Control (RC) plane that can perform various missions. One of the difficulties in developing a plane each year is testing the forces on the plane. Currently, Ansys and XFLR5 are used to create computational fluid dynamics (CFD) models for the plane. CFD modeling simulates air flow over the plane’s wings to analyze how to optimize the aircraft’s aerodynamics. While this is a useful strategy to predict the plane’s theoretical performance, WashU DBF Technical President, Eleni Kambouris, …

Mems 411: Mini Syringe Pump, Rachel Foulk, Braxton Hart, Camilo Hernandez

Mechanical Engineering Design Project Class

In many research and medical settings, small amounts of liquids are dispensed using syringes. Very often, syringe pumps like those shown in the left image, are used to control the amount (i.e., flow rate) of dispensed/collected fluid. There are single- or multi-style syringe pumps; the one shown is single-style; multi-style have 2-8 parallel syringes that are all pushed/pulled at the same flow rate. However, these syringe
pumps are bulky and heavy, making them impractical for many experimental setups. Commercial alternatives include very expensive syringe pumps with remote dispensers. Furthermore, it is often necessary to have two syringe pumps operate in …