Digital Commons Network^™

Energy Planning Model Design For Forecasting The Final Energy Consumption Using Artificial Neural Networks, Haidy Eissa

Theses and Dissertations

“Energy Trilemma” has recently received an increasing concern among policy makers. The trilemma conceptual framework is based on three main dimensions: environmental sustainability, energy equity, and energy security. Energy security reflects a nation’s capability to meet current and future energy demand. Rational energy planning is thus a fundamental aspect to articulate energy policies. The energy system is huge and complex, accordingly in order to guarantee the availability of energy supply, it is necessary to implement strategies on the consumption side. Energy modeling is a tool that helps policy makers and researchers understand the fluctuations in the energy system. Over the …

Predictive Computational Materials Modeling With Machine Learning: Creating The Next Generation Of Atomistic Potential Using Neural Networks, Mashroor Shafat Nitol

Theses and Dissertations

Machine learning techniques using artificial neural networks (ANNs) have proven to be effective tools to rapidly mimic first principles calculations. These tools are capable of sub meV/atom accuracy while operating with linear scaling with respect to the system size. Here novel interatomic potentials are constructed based on the rapid artificial neural network (RANN) formalism. This approach generates precise force fields for various metals that have historically been difficult to describe at the atomic scale. These force fields can be utilized in molecular dynamics simulations to provide new physical insights. The RANN formalism, which is incorporated into a LAMMPS molecular dynamics …

The Development Of A Finite Element Model For Ballistic Impact Predictions, Richard Allen Perkins

Theses and Dissertations

Concrete is a widely used product and is an important application throughout industry due to its inexpensive cost and wide range of applications. This work focuses on understanding the behavior of high strength concrete in high strain rate ballistic impact loading scenarios. A finite element analysis was created with the implementation of the Concrete Damage and Plasticity Model 2 (CDPM2) to represent the material behavior. The model’s parameters were calibrated to existing literature and the results were analyzed by a comparison of the impact velocity to residual velocity and a qualitative assessment of the impact crater. The model captured the …

Torque Vectoring To Maximize Straight-Line Efficiency In An All-Electric Vehicle With Independent Rear Motor Control, William Blake Brown

Theses and Dissertations

BEVs are a critical pathway towards achieving energy independence and meeting greenhouse and pollutant gas reduction goals in the current and future transportation sector [1]. Automotive manufacturers are increasingly investing in the refinement of electric vehicles as they are becoming an increasingly popular response to the global need for reduced transportation emissions. Therefore, there is a desire to extract the most fuel economy from a vehicle as possible. Some areas that manufacturers spend much effort on include minimizing the vehicle’s mass, body drag coefficient, and drag within the powertrain. When these values are defined or unchangeable, interest is driven to …

A Data-Driven Approach For The Investigation Of Microstructural Effects On The Effective Piezoelectric Responses Of Additively Manufactured Triply Periodic Bi-Continuous Piezocomposite, Wenhua Yang

Theses and Dissertations

A two-scale model consisting of ceramic grain scale and composite scale are developed to systematically evaluate the effects of microstructures (e.g., residual pores, grain size, texture) and geometry on the piezoelectric responses of the polarized triply periodic bi-continuous (TPC) piezocomposites. These TPC piezocomposites were fabricated by a recently developed additive manufacturing (AM) process named suspension-enclosing projection-stereolithography (SEPS) under different process conditions. In the model, the Fourier spectral iterative perturbation method (FSIPM) and the finite element method will be adopted for the calculation at the grain and composite scale, respectively. On the grain scale, a DL approach based on stacked generative …

Modeling The Ballistic Limit Of Fragment Simulating Projectiles Impacting A36 Mild Steel Spaced Armor Configurations, Daniel H. Rios-Estremera

Theses and Dissertations

Terminal ballistics study multivariate behavior and aftermath of projectile and target interactions. Tests and models are often based on monolithic armors, however, layered and spaced armors are common in real world applications. Such configurations add complexities that require research to understand their effects on terminal ballistics. The ballistic limit velocity (V50) represents the speed where armor perforation probability is 50%. It is used for quantitative comparison of protection capabilities for different armors. This research studied the V50 of spaced and layered A36 steel armors against fragment simulating projectiles (FSPs). Four methods for estimating armor V50 were evaluated and compared to …

Effects Of Bonding Pressure And Lamina Thickness On Mechanical Properties Of Clt Composed Of Southern Yellow Pine, Cody S. Bates

Theses and Dissertations

This study produced cross-laminated timber panels at a range of four lamina thickness (5/8, 1, 1 1/8, and 1 1/4 inch) and three bonding pressures (50, 125, 200 psi), producing a total of 12 panels for mechanical testing. The goal of this study is to observe how the thickness and pressure trends affect the mechanical properties of CLT. Tests include flatwise bending, flatwise shear, internal-bond, and delamination. Results showed that bending MOE decreases as the panel thickness increases while bonding pressure had no significance. Bending MOR was less significant for the thickness and more significant for pressure compared to the …

Uncertainty-Aware Deep Learning For Prediction Of Remaining Useful Life Of Mechanical Systems, Samuel J. Cornelius

Theses and Dissertations

Remaining useful life (RUL) prediction is a problem that researchers in the prognostics and health management (PHM) community have been studying for decades. Both physics-based and data-driven methods have been investigated, and in recent years, deep learning has gained significant attention. When sufficiently large and diverse datasets are available, deep neural networks can achieve state-of-the-art performance in RUL prediction for a variety of systems. However, for end users to trust the results of these models, especially as they are integrated into safety-critical systems, RUL prediction uncertainty must be captured. This work explores an approach for estimating both epistemic and heteroscedastic …

Study Of Alloy And Process Modifications To Design Hydrogen Resilient High Hardness Steels, William R. Williams

Theses and Dissertations

High hardness steels (HHS) are vulnerable to hydrogen embrittlement, which can lead to rapid degradation of mechanical properties. Improved resistance to hydrogen embrittlement would be beneficial to many industries including construction, automotive, and military. A comparison study was performed to assess the hydrogen susceptibility of select commercially available and in-house designed HHS alloys. Slow strain rate tensile tests, performed with specimens charged with various levels of hydrogen, provided a macroscopic view of the onset of hydrogen embrittlement. Hydrogen permeation and thermal desorption spectroscopy tests determined the uptake and diffusivity of hydrogen through the material. The evaluation of hydrogen susceptibility for …

Optimization Of The Microfluidic Dielectrophoresis Trap Configuration For Nanoparticle Manipulation, Mohammad Rizwen Ur Rahman

Theses and Dissertations

Dielectrophoresis (DEP) is an electrokinetic phenomenon in which neutral but polarizable particles suspended in a liquid medium experience a net movement due to a force generated from the permittivity difference between the liquid medium and the particles when subjected to a non-uniform electric field. We have developed a microfluidic particle trapping system using alternating current (AC) based DEP force for trapping spherical polymeric beads and biological particles. The DEP microfluidic device was constructed using orthogonal electrode configuration and fitted with three different basic geometric shapes, i.e., triangular, square, and circular. Effect of trap shape on particle trapping dynamics was quantitatively …

Developing A Prototype Energy Harvesting Device For Powering Wireless Onboard Condition Monitoring Sensor Modules For Railway Service, Martin Amaro Jr.

Theses and Dissertations

An energy harvesting system is being developed to power a wireless bearing health monitoring device. In contrast to other monitoring systems, this wireless monitoring device is a low-powered onboard solution. Powered by a 3.7-Volt lithium-ion battery, the device can continuously function for several months on a single charge. By implementing an energy harvesting system, the life of the battery can be increased reducing the overall maintenance, electronic waste, and time needed to replace the batteries. The harvesting system uses thermoelectric generators to convert the heat generated in the bearings into electricity. The system is composed of aluminum heat sinks, a …

Additive Manufacturing Of Cork, A Cold Spray Technology, Kimberly Kay Dickey

Theses and Dissertations

Cold Spray Additive Manufacturing is a technology capable of mass manufacturing components with complicated geometry and coating substrates in hard-to-reach areas. In addition, cold spray also has the ability of conducting a green manufacturing process, with zero waste of renewable feed material, and zero gas and chemical emission. This paper investigates solely cold spray as an additive manufacturing technology with cork as the natural material. CFD results were used to predict the physical behavior of air and the cork particles. After unsuccessful coatings, final results showed that when moisture is added, cork is successfully cold sprayed, and agglomeration is experienced. …

Injection Studies On A Small-Scale Rotating Detonation Engine With Improved Flow Control, Jonathan J. Wyatt

Theses and Dissertations

The Rotating Detonation Engine (RDE) has gained increasing attention in recent years for its potential advantages over typical deflagration combustion. A Micro-RDE design with an outer diameter of 28mm operating on Nitrous Oxide and Ethylene was recently developed, which stretched the limits of small-scale detonation engines. The testing on this rig has shown a stable one wave mode detonation with frequencies reaching 16.8 kHz. Key parameters that influence the detonation wave mode are cell size, fill height, and wave speed, which are heavily influence d by injection schemes. Previous testing utilized a partially premixed jets in crossflow (JIC) injection scheme, …

Dynamic Modeling Of A Three Degree Of Freedom Reaction Sphere, Joshua Michael Byron

Theses and Dissertations

This thesis presents a method to simulate the dynamics of a three degree of freedom, electromagnetically suspended Northrop Grumman Corporation Reaction Sphere (NGCRS) in MATLAB Simulink® by computing the magnetic force and torque relations offline, using COMSOL® Multiphysics. The goal of the thesis is firstly to demonstrate through Finite Element Magnetic Modeling (FEM) that magnetic field interactions between a stator levitation electromagnet (EM) and the rotor permanent magnets (PM) are limited to a single EM-PM pair and that all other PMs can be considered decoupled from the EM. Secondly, this thesis aims to demonstrate that a set of generalized magnetic …

Charged Particle Environment Testing Of A Deep Space Radiation Shield With Associated Fabrication And Calibration Of Pulsed Power Systems, Mark Bedford Moffett

Theses and Dissertations

Space radiation is one of the primary dangers faced outside of the protective magnetosphere of Earth. Despite the persistent radiation threat to self-contained human habitation and the risk of increased exposure during long-duration missions, reliable long-term radiation protection is not well-developed. Active shielding is an avenue of preventative radiation protection that could be deployed to protect astronauts and biological life from the effects of radiation. This dissertation explores the design scalability of an active magnetic shield for protecting against isotropic radiation in deep space. Each shield is composed of two concentric, elliptical layers of circular conducting coils, each arranged like …

An Evolutionary Inspired Framework For Grasp Planning Automation On Sheet-Metal Parts With Multi-Type Grippers, Jicmat Andres Ali Tribaldos

Theses and Dissertations

Industrial robot-mounted grippers are commonly used in the automotive industry to position, manipulate, and immobilize sheet-metal parts during several manufacturing and assembly operations. Nowadays, the use of grippers that use two or more different gripping principles such as magnets, suction cups, and fingers to accomplish the gripping task is common. Automation of the steps involved in the design of these multi-type grippers is essential to the timely introduction of new vehicles to the market. The main reason being that production of the vehicles cannot start before designing, testing, and building the grippers for its components, but the design of the …

A Machine Learning-Based Approach To Predict And Optimize The Performance Of Zero Energy Building (Zeb): A Case Study For Florida, Benjamin Kubwimana

Theses and Dissertations

Machine learning is currently one of the most searched fields aiming to solve real-life problems. Building simulation software tools help engineers estimate building energy behaviors before the actual construction, allowing implementation of more energy efficient choices in building design and construction. Current building energy simulation software tools are mostly physics-based and still lack the benefit obtained with machine learningbased modeling, which offers fast and less computationally expensive techniques to build energy models and efficiently perform design optimization. This thesis presents a machine learning-based approach for building energy modeling and optimizing design parameters to minimize building’s energy consumption. The study is …

Thermoelectric-Based Cooling Systems For Building Application: A Sustainable Solution, Seyedehmohadeseh Seyednezhad

Theses and Dissertations

In the United States, buildings account for a large share of the annual energy consumption, nearly 40%. Fossil fuels including coal, oil, and natural gas account for the main source of electric power generation and constitute the largest portion of the building energy consumption. Such a high level of fossil fuel consumption is a multifaceted challenge as demand for energy grows, and natural resources become scarce and expensive, while the climatic effects of massive energy use will be clearly felt by all. As a necessary component for occupants’ thermal comfort, cooling and air conditioning systems are among the largest energy …

A Comparative Study On The Application Of Intelligent Algorithms As The Solution Of Inverse Heat Conduction Problems, Dominic Allard

Theses and Dissertations

A critical component necessary for the safety and survival of space vehicles are the thermal protection systems (TPS). Especially when subject to atmospheric re-entry, the heating loads subject to the space vehicle requires the implementation of extensive protection. The TPS commonly used currently are passive ablative materials which burn away under extreme heat flux. Due to the nature of the material and the incident heat flux, it is not feasible to attain accurate, real-time measurements for the boundary conditions with sensors placed on the surface of the space vehicle. The ability to do such would allow opportunities to implement active …

Coupling A Parametric Wave Model Into Hydrodynamic Ocean Circulation Forecasts To Improve Efficiency Of Nested Estuarine Storm Surge Predictions, Caleb Tye Lodge

Theses and Dissertations

Efficiency in storm surge modeling is crucial for forecasting coastal hazards in real-time. While computation cost is trivial to organizations with ample resources, the robustness of forecasts generated by most parties are restricted by wall-clock time. The Parametric Wave Model (PARAM) was developed by Boyd and Weaver (2021) as an alternative to computationally expensive wind-wave models when modeling estuarine environments. For this study, PARAM has been tightly coupled with the ADCIRC hydrodynamic model to become ADCparam, then integrated into the Multistage ensemble forecast system, a one-way nesting framework for modeling waves and circulation in coastal estuaries developed by Taeb and …

Application Of Ensemble Methods For Solving Offshore Wind Farm Layout Optimization Problems, Puyi Yang

Theses and Dissertations

Wind energy is considered as one of the most promising renewable energy sources. The intent of this dissertation is to assess the application of ensemble methods on offshore wind farm layout optimization. In this regard, four research questions are considered and addressed accordingly each of which are discussed in detail in a separate chapter (chapter 2 to 5). The first research question is focused on choosing appropriate analytical wake model to be used for the wind farm layout optimization (WFLO) problems in this dissertation. The WFLO problem is a complex and non-convex optimization problem. The accuracy of analytical wake models …

Evolutionary Algorithms For Function Model Synthesis, Amaninder Singh Gill

Theses and Dissertations

Function modelling plays an essential role in the systematic design process. Designers are trained in the academia trained on function models, yet the acceptance of function models in the industry remains sparse. A possible reason is that there is a lack of computational support for synthesizing function models. The research presented in this dissertation aims to fill that gap. A conceptual proof of function model synthesis using a Genetic Algorithm (GA) is initially presented. Thereafter a priori rules to evaluate function model have been developed. These rules do not rely on a designer conveying designer intent to the algorithm, which …

Synthesis And Characterization Of Copper Oxide Nanofibers, Shishir Barai

Theses and Dissertations

The aim of this study was to develop polymer-derived Copper (II) Oxide (CuO) nanofibers through centrifugal spinning technique and subsequent calcining. To obtain the force spun pre-ceramic copper acetate nanofibers, 15% wt, 25% wt, 35% wt, 50% wt% copper acetate (active material) and poly (vinyl) alcohol ( PVA) solutions was prepared with deionized water (DI) as solvent and spun at 7500 rpm in a FibeRio Cyclone. Thermogravimetric analysis (TGA) was implemented to determine the thermal degradation behavior of the pre-ceramic nanofibers. These nanofibers were then calcined at three different temperatures (500, 600 and 700°C) to produce CuO nanofibers. The microstructure, …

Assessing The Effectiveness And Efficacy Of Wireless Onboard Condition Monitoring Modules In Identifying Defects In Railroad Rolling Stock, Lee R. Cantu

Theses and Dissertations

Many industries have begun shifting into the Internet of Things (IoT) in the 21st century. To help ease this transition for the rail industry, The University Transportation Center for Railway Safety (UTCRS) has partnered with Hum Industrial Technology, Inc. (HUM) to help complete the development of a Wireless Onboard Condition Monitoring system named the ‘Boomerang™’. This product allows customers to schedule proactive maintenance on their railcars to replace defective wheels and/or bearings, saving them time, money and potentially preventing costly catastrophic derailments. The UTCRS research team has established thresholds to determine defective bearings utilizing thermal and mechanical sensors.

The effectiveness …

Lubrication Performance Of Vegetable Oils Modified With Halloysite Clay Nanotubes (Hnt) As Lubricant Additives, Md Abu Sayeed Biswas

Theses and Dissertations

Vegetable oil-based nano-lubricants are a great alternative to petroleum-based lubricants because of their less adverse impact on the environment. This work evaluates the tribological performance of sunflower, corn, and peanut oils modified with halloysite clay nanotubes (Al2Si2O2(OH)2nH2O) as lubricant additives at different concentrations. To analyze the tribological performance of the nano-lubricants, a block-on-ring tribometer was used following the ASTM G-077-17 standard procedure. Characterization of HNT was carried out by X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM), and Thermogravimetric Analysis (TGA). The effect of the HNT on the lubrication performance of the newly developed vegetable oil-based nano-lubricants was evaluated, and the …

Synthesize And Characterization Of Aluminum- Tungsten Carbide Nanocomposite, Shuvendu Das

Theses and Dissertations

This research focuses on developing metal matrix composite reinforced by polymer-derived ceramic fibers. The force-spun AMT nanofibers were heat treated into tungsten carbide and then mixed with aluminum powder using cold pressing and sintering to produce the composites. The basic mechanical properties of this composite are investigated by density measurement, hardness and compression testing. SEM, EDS and XRD were used to test the morphology of tungsten carbide fibers. EDS identified a near-perfect W-C ratio in tungsten carbide fibers 1000 °C. Tungsten Carbide fibers were crushed using ball milling technique. Tungsten carbide nanofibers powder had a variety of particle size. Results …

Molecular Dynamics Study Of Atomic Diffusion In Cantor High Entropy Alloy In The Selective Laser Melting Process, Mathew Z. Farias

Theses and Dissertations

High entropy alloys (HEAs) are compositionally complex alloys that are comprised of 5 or more principle elements at near equimolar concentrations. The Selective Laser Melting (SLM) method generally melts pure elemental powders or prefabricated alloy powders, this process allows for the production of heterogeneous structures that would be difficult to create through more conventional means. In-situ alloying in SLM, or Laser Additive Alloying (LAA), using pure elemental powders is a promising means of producing what would otherwise be costly and difficult to fabricate products with less defects using prefabricated powders, therefore this new approach could enable the ability to …

Synthesis And Characterization Of Centrifugally Spun Molybdenum-Based Nanomaterials For Lithium-Ion Batteries, Ramiro Gonzalez Jr.

Theses and Dissertations

The work presented in this thesis focuses on the processing and development of transition metal compound composite fibers as anode materials for rechargeable lithium-ion batteries (LIBs). Among the transition metal compounds, molybdenum compounds have risen as promising candidates of advanced electrode materials, in view of their natural abundance, virtuous mechanical/thermal stability, rich chemistry, high theoretical specific capacity, and multiple oxidation states of Mo. The current work reports synthesize MoO2/C and MoO3/C composite fibers drawn from centrifugal spun ammonium molybdate/PAN precursor fibers, followed by a thermal treatment stabilizing in air and calcination under argon atmosphere. The weight ratios of (MoOx, 2 …

Development Of A Compact Core Flooding Apparatus For Matrix Acidizing Applications, Antonio Hernandez Zuniga

Theses and Dissertations

Matrix Acidizing is defined as a well stimulation technique in which the acid is injected into the formation with the purpose of dissolving the minerals present and thus enhancing the permeability of the formation and facilitating the extraction of oil and/or gas from the formation. The primary goal of acid diversion is the creation of wormholes and ramification paths that allow the fluid to flow from the higher to the lower permeability zones of the limestones, sandstones or carbonate reservoirs. Naturally, as the injected acid will follow vugs, fractures and pores, HCl is used because of its quick reaction and …

Selective Laser Melting Of Titanium Diboride: A Study Of The Energy Density Effects, Lazaro Lopez Mendez

Theses and Dissertations

Natural titanium diboride (TiB2) has been reported the 5th hardest material on earth. Due to its superior properties, such as high density, high elastic modulus, and high compressive strength, TiB2 becomes one of the most suitable ceramic reinforcements for applications with severe friction and heavy loading conditions. This study is intended to produce TiB2 using 3D additive manufacture (AM) technology, and then to understand the tribological property of the AM fabricated TiB2 specimens. In this study, a laser additive alloying (LAA) process was developed based on a Renishaw AM laser system. One mm thick samples were prepared using the LAA …