Engineering Commons^™

Angle Of Attack Determination Using Inertial Navigation System Data From Flight Tests, Jack Kevin Ly

Masters Theses

Engineers and pilots rely on mechanical flow angle vanes on air data probes to determine the angle of attack of the aircraft in flight. These probes, however, are costly, come with inherent measurement errors, affect the flight characteristics of the aircraft, and are potentially dangerous in envelope expansion flights. Advances in the accuracy, usability, and affordability of inertial navigation systems allow for angle of attack to be determined accurately without direct measurement of the airflow around the aircraft. Utilizing an algorithm developed from aircraft equations of motion, a post-flight data review is completed as the first step in proving the …

Analysis Of Highly-Enriched Uranium Spectra Obtained With Lanthanum Bromide Scintillation Detection Systems, Danielle Lynn Mcfall

Masters Theses

Cerium-doped lanthanum bromide scintillation detection systems have recently been examined as an alternative to conventional detection systems, namely high-purity germanium, cadmium zinc telluride, and thallium-doped sodium iodide systems for various reasons including portability, sizing, and efficacy. As a non-destructive assay technique, these detectors quantify gamma rays from various samples to measure and identify specific radioisotopes. In nuclear facilities specializing in uranium, these detectors are mainly utilized to detect characteristic low-energy gamma rays of uranium-235, specifically, 143 keV, 163 keV, 186 keV, 202 keV and 205 keV gamma rays. Accurately distinguishing closely-spaced gamma rays in spectral data is a common challenge …

Optimization Of Spatial Convolution In Convnets On Intel Knl, Sangamesh Nagashattappa Ragate

Masters Theses

Most of the experts admit that the true behavior of the neural network is hard to predict. It is quite impossible to deterministically prove the working of the neural network as the architecture gets bigger, yet, it is observed that it is possible to apply a well engineered network to solve one of the most abstract problems like image recognition with substantial accuracy. It requires enormous amount of training of a considerably big and complex neural network to understand its behavior and iteratively improve its accuracy in solving a certain problem. Deep Neural Networks, which are fairly popular nowadays deal …

Evaluation Of The Hot Mix Asphalt Compactability Utilizing The Impact Compaction Method, Pawel Andrzej Polaczyk

Masters Theses

This study investigates possibility of utilizing an accelerometer to evaluate compactability of Hot Mix Asphalt compacted with an impact hammer. For over 50 years Marshall Asphalt Mix Design has been the principal choice for asphalt mix designers around the world. Although the United States has almost entirely moved to Superpave Mix Design, the rest of the world nations still choose the Marshall Method. The investigation was conducted with the accelerometer placed on the falling mass of the Marshall Hammer and acceleration data was stored and analyzed. Data obtained from the accelerometer was filtered and the asphalt mix response after each …

Reducing Wait Time Prediction In Hospital Emergency Room: Lean Analysis Using A Random Forest Model, Gajanan Arha

Masters Theses

Most of the patients visiting emergency departments face long waiting times due to overcrowding which is a major concern across the hospital in the United States. Emergency Department (ED) overcrowding is a common phenomenon across hospitals, which leads to issues for the hospital management, such as increased patient s dissatisfaction and an increase in the number of patients choosing to terminate their ED visit without being attended to by a medical healthcare professional. Patients who have to Leave Without Being Seen (LWBS) by doctors often leads to loss of revenue to hospitals encouraging healthcare professionals to analyze ways to improve …

Peak Power Demand From Centrifugal Chillers Used To Comfort Condition The John C. Hodges Library, Summer F. Fabus, Jared A. Baxter, Kyle Jackson Goodrick, Divyani Rao, Kevin Chiang

Chancellor’s Honors Program Projects

No abstract provided.

Phototherapy Mounting System For Inpatient Rehabilitation, Kelsey Henderson, Elizabeth Fortunato, Jacob Dixon

Chancellor’s Honors Program Projects

No abstract provided.

An Economic Analysis Of The Extraction Of Rare Earth Elements From Clay Waste Stream, Mary Mcbride, Marti Bell, Melanie Lindsey

Chancellor’s Honors Program Projects

No abstract provided.

Wastewater Treatment Improvement For Rush Strong School, Christina R. Sanford Utk, Kelli M. Grissom, Katie Gipson, Sharon Counts

Chancellor’s Honors Program Projects

No abstract provided.

Silicon Carbide Materials Properties Selection For Mechanical Seal Faces, William Charles Hoskins

Chancellor’s Honors Program Projects

No abstract provided.

Final Design Report For The Gastrointestinal Anastomosis Device And Lawrence Lee, Md, University Heart Surgeons, Sara Parker, Chloe O'Dell, M Jake Potter, Jordan Failla

Chancellor’s Honors Program Projects

No abstract provided.

Semi-Autonomous Golf Cart, Daniel T. Garza, Richard S. Emeott, Matthew E. May, Valerie A. Cherry, Brooke Davidson

Chancellor’s Honors Program Projects

No abstract provided.

Min Kao Autonomous Robot Tour Guide, Albert J. Toth, Sunay G. Bhat, Christopher A. Treadway, Ammar S. Abdelwahed, Samuel C. Leach

Chancellor’s Honors Program Projects

No abstract provided.

Economic Analysis Of Rare Earth Elements Extraction From Clay Waste, Seth Archambault

Chancellor’s Honors Program Projects

No abstract provided.

Eareeg Final Report, Tyler Stuessi, Jeremy Herwig, Dillon Hunneke, Evan Goble, Arthur Vidineyev

Chancellor’s Honors Program Projects

No abstract provided.

Particle Morphology And Its Influence On Friction And Dilatancy Of Sands, Karen Carmen Lee

Masters Theses

Particle morphology outlines the general analytical method used to describe soil particles’ structure and shape. The characteristics defining this term include sphericity, roundness, and surface texture. Particle morphology has a significant influence on sand behavior and consequently affects dilatancy and friction. Understanding the relationship between shear strength parameters and particle morphology answers fundamental questions about the mechanics of granular materials in general and has the potential to enhance the development of advanced constitutive models that describe granular materials’ behavior.

Many researchers have reported measurements for sphericity, roundness, and surface texture using both two-dimensional (2D) and three-dimensional (3D) images to analyze …

Z Deviation Based Demand Side Control To Reduce Fidvr, Derek Brittian Lusby

Masters Theses

Accurate load modeling is key to depicting realistic system behavior in power system simulations. In the past, the use of static load models resulted in overly optimistic results, which led to unforeseen outages and issues following faults. One common cause of these types of unforeseen issues is Fault Induced Delayed Voltage Recovery (FIDVR). FIDVR occurs due to the stalling of single-phase residential air conditioners (A/C), and causes the voltage recovery after a fault to be slow. Improvements in load models over time have resulted in the capability of modeling load dynamics, and therefore better FIDVR.

A composite load model based …

Nanoscale Investigations Of Thermal And Momentum Transport In Graphene – Water Systems, Drew Champion Marable

Masters Theses

Demand for miniaturized electronic devices has given rise to new challenges in thermal management. Integration with graphene, a two-dimensional (2D) material with excellent thermal properties, allows for further reduced sizes and combats thermal management issues within novel devices. Moreover, due to its wide availability and adequate thermal properties, liquid water is commonly used within traditional thermal systems to enhance cooling performance; as such, water is expected to yield similar performance in smaller-scale applications. However, at reduced sizes descending to the nanoscale realm, system behaviors deviate from traditional macroscale-based theory as interfacial effects become amplified. Employing insight provided by molecular dynamics …

A Sub-Threshold Low-Power Integrated Bandpass Filter For Highly-Integrated Spectrum Analyzers, Benjamin David Roehrs

Masters Theses

Low-power analog filter banks provide frequency analysis with minimal space requirements, making them viable solutions for integrated remote audio- and vibration-sensing applications. In order to achieve a balance between the length of deployable service and system performance, a critical requirement of such remote sensor networks is low-power consumption, due to the constraints imposed by on-board battery cells.

In this work, the design and implementation of a sub-threshold complementary metal-oxide semiconductor (CMOS) integrated low-power tunable analog filter channel for Oak Ridge National Laboratory is presented. Project specifications required a tunable, high-order, monolithic bandpass filter channel with small chip area and low …

Effects Of Grain Size And Dopants On The Irradiation Response Of Actinide Oxides, Jeffrey Morgan Walters

Masters Theses

High energy irradiation can induce physical and chemical changes in nuclear materials, impacting their properties and performance in reactor systems. Of particular interest is the radiation response of actinide oxides, such as UO₂ [Uranium Dioxide] and ThO₂ [Thorium Dioxide], as well as analogue materials such as CeO₂ [Cerium Dioxide]. During the course of reactor operations, these nuclear materials are exposed to high energy ionizing radiation in the form of nuclear fission fragments. This study simulates the extreme conditions found in a nuclear reactor by utilizing accelerated heavy ions with mass and kinetic energy comparable to fission fragments …