Engineering Commons^™

Investigating Cobalt Chrome Alloy For Use In Biomedical Applications, Morgan Calhoun, Caitlin Cade

ME 4133/6133 Mechanical Metallurgy

Cobalt Chrome alloys, in particular cast Co-Cr ASTM-F75, are often used as the material for medical implants due to a combination of material properties: high strength, stiffness, temperature endurance, and wear / corrosion resistance. We aim to demonstrate and discuss what characteristics make it such a desirable material in the production of metallic biomedical implants

Design Of Process-Structure-Property-Performance Road Map Of Titanium Alloy Constructed Using Additive Manufacturing, Othmane Omalek, Anas Rochdi

ME 4133/6133 Mechanical Metallurgy

This article provides critical data concerning a system’s approach that incorporates processing, structure, property, and performance (PSPP) linkages applied on titanium materials. To acquire basic insights and knowledge of materials behavior, we need to build reasonable (PSPP) connections. This article will help gather data for any materials system to create the PSPP map and then uses those techniques to create a map for a Titanium made with additive manufacturing. In addition, it explains the current methods, techniques, and equipment used in a variety of structure treatment of titanium materials, as well as the processing concerns and precautions that apply. The …

Titanium Ti-6al-4v, James Aaras Ross Brundege

ME 4133/6133 Mechanical Metallurgy

Titanium alloys, such as Ti-6A1-4V, used as biomaterials possess great characteristics compared to other alloys such as stainless steel alloys. Characteristics such as biocompatibility, enhanced corrosion, strain, and fatigue resistance provide amazing benefits from these alloys. Providing an understanding of Ti used in biomedical applications and production can provide insight into its benefits and limitations as well as the areas of potential improvement for future study.

3xx Aluminum Alloys For Ice Implementation, Kyle A. Taylor, Eric Cleckner, Jeffery Garrett

ME 4133/6133 Mechanical Metallurgy

The material to be explored for the purpose of this project relates to the Aluminum alloys used in the majority of modern engine “heads” and a number of engine “blocks”. The Aluminum used for these engine applications vary slightly across different manufacturers in their processing, structure and ultimate properties, despite their nearly identical performance applications. Part of the interest in this particular subject is the slight variations across manufacturing that result in different performance. Regardless of idiosyncrasies, these Al alloys are expected to perform under varying temperatures, with the ability to elastically deform and return to their original shape. They …

An Examination Between Laryngeal Physiology And Parkinson’S Disease: Severity And Treatment, Jillian Pelikan

University Honors Program

The purpose of this in-depth literature review is to examine the relationship between laryngeal physiology and Parkinson’s disease in terms of the severity and possible treatment. This research aims to determine the distinct characteristics of Parkinsonian speech and possible causes of these speech deficits. In addition, a specific type of Parkinson’s disease treatment, deep brain stimulation, was explored to determine effectiveness on laryngeal physiological deficits found in Parkinson’s disease patients. Through synthesizing peer reviewed journals and various studies, data was examined in order to take an in-depth look at the unique relationship between laryngeal physiology and Parkinson’s disease. Findings indicated …

2021 Fall Engr333 Poster, Section B, Calvin University 2021 Engr Section B

ENGR 333

In 2020, residences used 21% of all final energy in the United States and were responsible for 20% of all U.S. carbon dioxide emissions (henceforth referred to as carbon emissions). Habitat for Humanity for Kent County is endeavoring to design homes that reduce energy consumption, energy expenditures, and carbon emissions. They have established a goal of a “low carbon footprint build” that will minimize energy consumption and carbon emissions, both during construction and across the lifetime of the house. To accomplish this goal, Habitat for Humanity for Kent County partnered with Calvin’s ENGR 333 – Thermal System Design and asked …

2021 Fall Engr333 Poster, Section A, Gerald Darkey, Jonathan Jansma, Chris Singh, Ryan Whitney, Adam Brunsting, Adam Tjoelker, Jack Van Der Molen, Cornelius Van Liere, Derrick Bittner, William Terpstra, Matthew Winkle, Kelsey Yen, Kasen Anderson, Jack Cahalane, Samantha Krupa, James Kulaga, Chukwudubem Nweke, Nathan Holwerda, Jacob Meulink, John Stehouwer, Isaac Spackman, Moses Yang

ENGR 333

Habitat for Humanity (HFH) built a low-carbon home at 726 London Street SW. Mark Ogland-hand, a representative of HFH, connected with Professor Matthew Heun to begin a carbon study of this new home with the goals of understanding the carbon footprints of a traditional HFH home, the London home, and future improvements feasible for HFH to make in reducing the carbon emissions of their houses.

Child Detection System For Preventing Hot-Car Death, Touheda Khanom, Fahmeda Khanom

Publications and Research

According to the Safety Organization Kids and Cars, an average of 38 children die each year from hot cars due to lack of attention from parents. Existing alert system uses sensors that detect child presence and care less about detecting temperature inside the car. In order to save children from heatstroke, our research focuses on providing information about the temperature inside the car using very effective sensors with high precision. In our research, we have tested different sensors and figured out three sensors that can provide precise information about the presence of a child without an adult. Our child detection …

Low-Noise, Low-Power Analog Front End For Dual Detector, Event-Driven Radioactive Isotope Identification, Joseph Medinger

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

An analog front end (AFE) design for a low-noise, low-power, event-driven radioactive spectroscopy system is implemented in a 65 nm CMOS technology. The AFE is optimized for use with two scintillation based detectors, CsI(Na) and LaBr3(Ce), that utilize photo-multiplier tubes for charge amplification. The amplification within the AFE is accomplished through charge sensitive amplifier designs that are tailored to each detector type. The AFE includes adjustable bias generation circuits to allow amplifier tuning for process, voltage, and temperature variations. The presented AFE is implemented along with analog to digital acquisition circuits and a microcontroller to provide a single-chip radioactive spectroscopy …

Comparative Analysis Of 3d Printed Denture Resins With Traditional Denture Materials At The Micro Level, Aneeza Hussain, Caleb Beckwith, Gaffar Gailani

Publications and Research

The aim of this experiment was to evaluate and identify compression strength between traditionally manufactured acrylic dentures and additive manufacturing resin dentures. Specifically, the dentures produced by Uhler Dental, its Reveal line were compared against samples produced on the Formlabs Form 2 SLA, Stereolithography, 3D printer using their Denture Teeth A2 resin to test compression strength to assure they are compatible with the occlusal forces in the oral cavity. Using the ZwickRoell tensile testing machine, it appeared that the acrylic dentures were half as strong as the resin dentures. Then we went ahead to and did a comparative analysis under …

Semantically Meaningful Sentence Embeddings, Rojina Deuja

School of Computing: Dissertations, Theses, and Student Research

Text embedding is an approach used in Natural Language Processing (NLP) to represent words, phrases, sentences, and documents. It is the process of obtaining numeric representations of text to feed into machine learning models as vectors (arrays of numbers). One of the biggest challenges in text embedding is representing longer text segments like sentences. These representations should capture the meaning of the segment and the semantic relationship between its constituents. Such representations are known as semantically meaningful embeddings. In this thesis, we seek to improve upon the quality of sentence embeddings that capture semantic information.

The current state-of-the-art models are …

Force-Feedback Design For Robotics: Bio-Based Design And Simulation, Husnain Khan, Zhou Zhang

Publications and Research

The great challenge for the Virtual Assembly Platform is how to make the users have the in-person feeling with the augmented tools. Hands are the most important organs that are used to provide touch feeling. In a real assembly scenario, the force from the components and tools will be feedback to the brain via the hands. Unfortunately, the virtual assembly failed to mimic the in-person scenarios since it will not provide such kind of feedback. As a result, the users’ real identities are lost. Then, the users’ slower-progressing wrong habits will prevent them from success in the future. Therefore, it …

Digitization Of Academic Libraries Through Cloud Environment, Sivankalai S, Virumandi A, Sivasekaran K, Jeyanthi R, M Sharmila

Library Philosophy and Practice (e-journal)

Libraries may soon be able to establish and manage their own data centres. This paradigm would allow libraries to control the apps and data stores that include sensitive and private information about their users' personal and financial information. The provisioning and management of infrastructure for a Web-based digital library present several complicated difficulties for library administrators. In this article, we address the challenges that digital libraries confront, and the efforts being made to solve those challenges. Infrastructure virtualization and cloud Environment are incredibly enticing options, but they are being challenged by the expansion of the indexed document collection, the addition …

The Evaluation Of Performance Of Spindle Connector And Its Finite Element Analysis, Suhyun Lee

Dissertations and Theses

The rapid development of machining technology and reliable high-speed machining systems has led to a fast operation of machines. However, machining machines cannot still meet modern requirements in terms of the quality of parts, the machine components, and the life of the tools. The major components of the machining system are machine tools, the spindle interfaces (the contact between the spindle and the tool holder), and tools. The choice of the spindle connector is the main decision, as this defines the limitation of the metal cutting efficiency and considerably influences the deformation of the machine tool. Therefore, it is very …

A Sinusoidal Signal Reconstruction Method For The Inversion Of The Mel-Spectrogram, Anastasia Natsiou, Sean O'Leary

Articles

The synthesis of sound via deep learning methods has recently received much attention. Some problems for deep learning approaches to sound synthesis relate to the amount of data needed to specify an audio signal and the necessity of preserving both the long and short time coherence of the synthesised signal. Visual time-frequency representations such as the log-mel-spectrogram have gained in popularity. The log- mel-spectrogram is a perceptually informed representation of audio that greatly compresses the amount of information required for the description of the sound. However, because of this compression, this representation is not directly invertible. Both signal processing and …

Mit Newsletter-Special Relaunch Edition-December 2021, Anil Rana Dr.

Faculty work

No abstract provided.

Improving Noise Immunity And Efficiency Using High-Precision Iterative Codes, Sherzod Shukhratovich Atadjanov, Aziza Ahmadjanovna Tursunova

Bulletin of TUIT: Management and Communication Technologies

The article discusses the issues of ensuring noise immunity in digital broadcasting systems, shows the importance of the transition to the optimal code and the need to use it in the field of noiseless coding in various areas of telecommunication transmission and reception of digital signals. The previous algorithms and error-correcting coding methods based on the Gray code, which are used in multi-level digital broadcast modulation schemes to minimize the intensity of bit errors, are highlighted. A model of error-correcting coding by the Gray method and methods for estimating the probability of error for the Gray code are presented. Based …

Knowtext: Auto-Generated Knowledge Graphs For Custom Domain Applications, Bojan Bozic, Jayadeep Kumar Sasikumar, Tamara Matthews

Articles

While industrial Knowledge Graphs enable information extraction from massive data volumes creating the backbone of the Semantic Web, the specialised, custom designed knowledge graphs focused on enterprise specific information are an emerging trend. We present “KnowText”, an application that performs automatic generation of custom Knowledge Graphs from unstructured text and enables fast information extraction based on graph visualisation and free text query methods designed for non-specialist users. An OWL ontology automatically extracted from text is linked to the knowledge graph and used as a knowledge base. A basic ontological schema is provided including 16 Classes and Data type Properties. The …

Adaptive Navigation Of Three-Dimensional Scalar Fields With Multiple Uavs, Robert Ka-Hing Lee

Engineering Ph.D. Theses

Adaptive Navigation (AN) control strategies allow an agent to autonomously alter its trajectory based on realtime measurements of its environment. Compared to conventional navigation methods, AN techniques can potentially reduce the time and energy needed to explore scalar characteristics of unknown and dynamic regions of interest (e.g., temperature, concentration level). Multiple Uncrewed Aerial Vehicle (UAV) approaches to AN can improve performance by exploiting synchronized spatially-dispersed measurements to generate realtime information regarding the structure of the local scalar field for use in navigation decisions. This dissertation presents initial results of a comprehensive program to develop, verify, and experimentally implement mission-level AN …

Multi-Type Assessment Of Global Droughts And Teleconnections, Zahir Nikraftar, Abdorrahman Mostafaie, Mojtaba Sadegh, Javad Hatami Afkueieh, Biswajeet Pradhan

Civil Engineering Faculty Publications and Presentations

Several drought indices have been developed based on various processes (e.g., precipitation, soil moisture, vegetation health) that respond differently to modes of climate variability, shadowing their relatability to teleconnections, which in turn, limits drought forecasting. In this study, we advanced the multivariate analysis of droughts by using long-term Terrestrial Water Storage estimates, soil moisture and precipitation data along with normalized difference vegetation index. To this end, we employed a Vine copula approach using Archimedean and Elliptical copula families to generate two novel multivariate drought indices called Combined Standardized Drought Index (CSDI), based on agricultural, meteorological, hydrological and ecological univariate indices …

Quantum State Estimation And Tracking For Superconducting Processors Using Machine Learning, Shiva Lotfallahzadeh Barzili

Computational and Data Sciences (PhD) Dissertations

Quantum technology has been rapidly growing; in particular, the experiments that have been performed with superconducting qubits and circuit QED have allowed us to explore the light-matter interaction at its most fundamental level. The study of coherent dynamics between two-level systems and resonator modes can provide insight into fundamental aspects of quantum physics, such as how the state of a system evolves while being continuously observed. To study such an evolving quantum system, experimenters need to verify the accuracy of state preparation and control since quantum systems are very fragile and sensitive to environmental disturbance. In this thesis, I look …

Social Inflation: Rising Tides In The Insurance Markets, Noah E. Heim

University Honors Program

Social inflation, despite its relative recency, has been a strong concern for some of the largest insurance carriers in the world. With claims costs increasing across broad markets, especially in casualty markets, insurers are racing to find the reason why. Increased claims costs can result in a number of negative effects on both insurance carriers as well as insurances buyers. Social inflation seems to be a key driver of these increased costs. Doing a deep dive into the validity of this claim and studying some potential causes as well as markets in which social inflation is occurring has led to …

Rheological Properties Of Recyclable Polymer Matrices For Advanced Composite Applications, Rahul Shankar

Dissertations

This dissertation focuses on evaluating the rheological characteristics of a variety of recyclable polymer matrices, which can compete with thermosets in a wide range of specialized applications. Studying the fundamental solid and melt-state viscoelastic properties and establishing structure-property-processing relationships is critical for the widespread adoption of these novel recyclable polymers in commercial applications. The first chapter provides an introductory overview of the different recyclable polymer matrices and their applications including high performance thermoplastics as thermoset replacements in high energy composite manufacture, multifunctional specialty thermoplastics for additive manufacturing and next generation, reprocessable covalent adaptable networks for self-healing applications. Furthermore, the important …

Contrastive Learning For Unsupervised Auditory Texture Models, Christina Trexler

Computer Science and Computer Engineering Undergraduate Honors Theses

Sounds with a high level of stationarity, also known as sound textures, have perceptually relevant features which can be captured by stimulus-computable models. This makes texture-like sounds, such as those made by rain, wind, and fire, an appealing test case for understanding the underlying mechanisms of auditory recognition. Previous auditory texture models typically measured statistics from auditory filter bank representations, and the statistics they used were somewhat ad-hoc, hand-engineered through a process of trial and error. Here, we investigate whether a better auditory texture representation can be obtained via contrastive learning, taking advantage of the stationarity of auditory textures to …

Orchestrating Performance Of Healthcare Networks Subjected To The Compound Events Of Natural Disasters And Pandemic, Emad M. Hassan, Hussam N. Mahmoud

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The current COVID-19 pandemic has demonstrated the vulnerability of healthcare systems worldwide. When combined with natural disasters, pandemics can further strain an already exhausted healthcare system. To date, frameworks for quantifying the collective effect of the two events on hospitals are nonexistent. Moreover, analytical methods for capturing the dynamic spatiotemporal variability in capacity and demand of the healthcare system posed by different stressors are lacking. Here, we investigate the combined impact of wildfire and pandemic on a network of hospitals. We combine wildfire data with varying courses of the spread of COVID-19 to evaluate the effectiveness of different strategies for …

Automated Report Based System To Encourage A Greener Commute To Campus, Ronald Velasquez

Computer Science and Computer Engineering Undergraduate Honors Theses

This project consists of the design and implementation of a tool to encourage greener commutes to the University of Arkansas. Trends in commuting of the last few years show a decline in not so environment-friendly commute modes. Nevertheless, ensuring that this trend continues is vital to assure a significant impact. The created tool is an automated report system. The report displays information about different commute options. A Google form allows users to submit report requests, and a web app allows the sustainability office to process them in batches. This system was built in the Apps Script platform. It implements several …

Controlled Release Of Multiple Therapeutics From Silicone Hydrogel Contact Lenses For Post-Cataract/Post-Refractive Surgery And Uveitis Treatment., Stephen A Dipasquale, Biaggio Uricoli, Matthew C Dicerbo, Thea L Brown, Mark Byrne

Henry M. Rowan College of Engineering Departmental Research

PURPOSE: This work demonstrates seven-day controlled and extended in vitro physiological flow dual release of multiple post-ocular surgery therapeutics from extended-wear contact lenses as a dropless alternative for treatment of uveitis and corneal inflammation, pain, and infection. Lens replacement each week optimizes treatment matching patient recall time with the ability to increase or decrease dosage.

METHODS: Lenses were synthesized using molecular imprinting to create lenses with macromolecular memory for diclofenac sodium (DS) and dexamethasone sodium phosphate (DMSP), as well as bromfenac sodium (BS) and moxifloxacin (MOX). Drug uptake and release were analyzed, and physical properties were measured and compared to …

Determining The Psychosocial Needs Of The Nurses Of Covid-19 Patients, Allison Stevens

ATU Theses and Dissertations 2021 - Present

Nurses are a vital element of the COVID-19 healthcare crisis and have been since the beginning of the COVID-19 response. The professional strain put on nurses included, but is not limited to: changing professional roles, rapidly changing policies and procedures, an influx of patients—particularly of high acuity, and change in workplace morale. However, nurses also had to carry the burdens of living as a member of society, family member, friend, community member, and above all, simply as a person surviving a pandemic themselves. With all of the stressors nurses have endured, it stands to reason that their psychosocial needs have …

Perceptions Of High Achieving High School Students Regarding The Professionalization Of Teaching And Their Interest In Becoming Teachers, Jonathan Crossley

ATU Theses and Dissertations 2021 - Present

This study was designed to highlight the factors that contribute to high-achieving high school students not deciding to join the teaching profession. There is growing evidence to indicate that the teaching profession is comprised mostly of educators in their first five years in the profession and educators with more than 25 years of teaching experience. Increasing numbers of educators are leaving the profession within their first five years in a classroom. On the other end of the spectrum, as teachers with more than 25 years of experience ultimately retire, the question remains about the viability of the profession for younger …

“Transport Batteryfication” Analysis Of Pre-Recycling Phases Of End-Of-Life Electric Vehicle Lithium-Ion Batteries From An Irish Perspective, Matt Mcguinness

Masters

Transport plays a key role in maintaining the economic prosperity of our society. However, transport has remained reliant on fossil fuels, a main contributor to climate change. New EU and Government policies aim to decarbonise the transport sector through batteryfication by shifting to electric vehicles. The lithium-ion battery will underpin this strategy.

Lithium-ion batteries have a limited lifespan for automotive applications, this will bring new and unprecedented challenges for end-of-life waste management. The recent growth of electric vehicles is expected to continue exponentially which raises important questions on how to process this new waste stream.

This study investigates the recycling …