Engineering Commons^™

Development Of Inconel 718f And Inconel 718e Powders For Parts Manufacturing Utilizing Binder Jet Three-Dimensional Printing And Compressed Pellet Methods, Duncan Eric Manor Ii

Graduate Theses, Dissertations, and Problem Reports (ETD)

Alloy Inconel 718 is a Ni based superalloy used for high temperature applications including turbine blades, turbocharger rotors and nuclear reactors. Inconel 718 is a popular commercial atomized powder that has limitations in performance for use in additive manufacturing applications due to poor part quality and efficiency of current fabrication methods. Developing new compositions and additive manufacturing (AM) methodologies of IN718 is critical to improve the quality and the efficiency of IN718 parts manufacturing. Developing new additive manufacturing methodology that produces higher quality parts made of IN718 as compared to current methods has the potential to greatly impact industry, academia, …

Investigation Of Oxidation And Corrosion Resistance Of Ni-Based Alloys And Stainless Steels Under Co2 Environments At Elevated Temperatures, Spencer Roy Fultineer

Graduate Theses, Dissertations, and Problem Reports (ETD)

High mechanical strength integrity, high robustness towards oxidation, and high resistance to carburization under CO2 environments at elevated temperatures are usually required for metallic systems that are employed for power generation. INCONEL 625 is a nickel-based superalloy that started development in the 1950s. This material was designed with the distinct purpose of use in high-temperature and high-pressure systems. While various materials possess the physical properties to handle these conditions, the creation of IN625 addresses the need for a material to withstand the highly corrosive properties of these kinds of environments. In order to evaluate the oxidation and corrosion resistance of …

Assessment Of Regional Bike And Pedestrian Equity In Transportation Plans, Drew Reiter

Graduate Theses, Dissertations, and Problem Reports (ETD)

While community involvement is legally required as a crucial part of the planning process, historically the traditional state-centric approaches to transportation planning have led to the underrepresentation of transportation-disadvantaged individuals in the process and, thus, to automobile-oriented regions. Planning practices for small urban and rural areas especially, which often lack funding and other resources, have generally overlooked accessible pedestrian, bicycling, and multimodal infrastructure and facilities, resulting in underdeveloped and poorly connected networks. I conducted a social equity evaluation of the regional planning, investment prioritization, and programming processes for pedestrian and bicycling infrastructure using the case study of Monongalia County, West …

Combustion Characteristics Of Methane, Ethane, Propane, And Butane Blends Under Conditions Relevant Of A Dual-Fuel Diesel And Natural Gas Engine, Christopher Joseph Ulishney

Graduate Theses, Dissertations, and Problem Reports (ETD)

As natural gas production infrastructure is already in place in most of the world and will continue expanding for the foreseeable future, natural gas is an alternative to traditional liquid petroleum fuels in heavy-duty engines. Dedicated natural gas or dual-fuel diesel-natural gas heavy-duty engines are alternatives to diesel-only power generation equipment. One challenge is the large variation in the natural gas composition available for such applications, which is known to significantly affect engine’s combustion characteristics and the emissions composition. As the literature on dual-fuel combustion under low load engine operating conditions that use more realistic natural gas mixtures (i.e., mixtures …

Advancing Medical Technology For Motor Impairment Rehabilitation: Tools, Protocols, And Devices, Matthew Yough

Graduate Theses, Dissertations, and Problem Reports (ETD)

Excellent motor control skills are necessary to live a high-quality life. Activities such as walking, getting dressed, and feeding yourself may seem mundane, but injuries to the neuromuscular system can render these tasks difficult or even impossible to accomplish without assistance. Statistics indicate that well over 100 million people are affected by diseases or injuries, such as stroke, Parkinson’s Disease, Multiple Sclerosis, Cerebral Palsy, peripheral nerve injury, spinal cord injury, and amputation, that negatively impact their motor abilities. This wide array of injuries presents a challenge to the medical field as optimal treatment paradigms are often difficult to implement due …

3d Printed Microfluidic Devices For Advanced Fluid Manipulation In Biomedical Applications, Kathrine Curtin

Graduate Theses, Dissertations, and Problem Reports (ETD)

Microfluidics are valuable devices in the biomedical field because of their remarkable ability to manipulate small volumes of fluid and facilitate reactions. Microfluidics have several significant advantages, including their portability, low cost, fast reaction times, and high surface area-to-volume ratios. Microfluidics be used for a multitude of applications, including bioanalysis, cellular assays, organ-on-a-chip, and separations. Microfluidics have great potential to overcome many challenges in conventional chemical and biological applications. However, complex fabrication procedures in silicon, glass, thermoplastics, and (polydimethylsiloxane) PDMS devices make rapidly optimizing and prototyping devices challenging. Microfluidic fabrication techniques have been a long-standing challenge in successfully translating these …

Modeling And Simulation Of A Process That Converts Ethane To Ethylene And Ethylene To Low Density Polyethylene, Ernest Bosire Mokaya

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ethylene is a critical feedstock and a major building block in the petrochemical industry that is used in synthesizing important products like polyethylene, ethanol, ethylene oxide, ethylene dichloride and ethylbenzene. With increasing demand of plastics, production of ethylene and subsequently polyethylene has increased globally. This thesis conducts the modeling and simulation of an integrated process that utilizes ethane as the primary feedstock to produce ethylene and the subsequent polymerization of ethylene to low-density polyethylene (LDPE). The process combines two different processes into one integrated process: (1) conversion of ethane to ethylene and (2) conversion of ethylene to LDPE. First, a …

Machine Learning Assisted Framework For Advanced Subsurface Fracture Mapping And Well Interference Quantification, Mohammad Faiq Adenan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The oil and gas industry has historically spent significant amount of capital to acquire large volumes of analog and digital data often left unused due to lack of digital awareness. It has instead relied on individual expertise and numerical modelling for reservoir development, characterization, and simulation, which is extremely time consuming and expensive and inevitably invites significant human bias and error into the equation. One of the major questions that has significant impact in unconventional reservoir development (e.g., completion design, production, and well spacing optimization), CO2 sequestration in geological formations (e.g., well and reservoir integrity), and engineered geothermal systems (e.g., …

A Comparative Analysis Of Coastdown Testing Methods From An Electric Drive Unit Engagement Perspective Using A Student-Designed Parallel Hybrid Electric Vehicle, Dawson Everett Dunnuck

Graduate Theses, Dissertations, and Problem Reports (ETD)

Coastdown testing and road load determination are pivotal parts of the automotive design process. Vehicle manufacturers and independent companies perform and analyze road loads determined through a coastdown or similar method to determine a vehicle’s road load for modeling and EPA certification. For a traditional coastdown, the vehicle’s drivetrain must be disconnected through a clutch between the engine and the transmission while traveling at a high rate of speed to place the vehicle in neutral. This changes for hybrid and electric vehicles. Some hybrid, and most electric, vehicles delivered to customers do not have this clutch action to grant the …

Understanding Emerging Travel Behavior In New York City, Md Amdad Hossen

Graduate Theses, Dissertations, and Problem Reports (ETD)

Many large cities face significant challenges in providing safe, economical, equitable, reliable, and efficient mobility services. Moreover, mobility service options have been changing unprecedentedly due to the advent of emerging mobility services. Understanding the impacts of emerging mobility services (e.g., for-hire vehicles, bike sharing) on other travel modes (e.g., transit, non-motorized modes, personal car) and evolving travel behavior is critical to promote sustainable modes for urban residents and reduce auto-dependency. New York City (NYC) has been conducting annual mobility survey since 2017 to understand the emerging travel behavior and mode choice characteristics. This dataset presents a unique opportunity for conducting …

Accelerating Manufacturing Decisions Using Bayesian Optimization: An Optimization And Prediction Perspective, Taofeeq Olajire

Graduate Theses, Dissertations, and Problem Reports (ETD)

Manufacturing is a promising technique for producing complex and custom-made parts with a high degree of precision. It can also provide us with desired materials and products with specified properties. To achieve that, it is crucial to find out the optimum point of process parameters that have a significant impact on the properties and quality of the final product. Unfortunately, optimizing these parameters can be challenging due to the complex and nonlinear nature of the underlying process, which becomes more complicated when there are conflicting objectives, sometimes with multiple goals. Furthermore, experiments are usually costly, time-consuming, and require expensive materials, …

Enabling Cybersecure And Resilient Smart Distribution Grid With Edge Devices, Partha Sarathi Sarker

Graduate Theses, Dissertations, and Problem Reports (ETD)

The smart distribution grid achieves enhanced efficiency and flexibility through the utilization of advanced communication infrastructure, digital devices, and robust computation and control capabilities. Grid-edge devices including distributed energy resources (DERs) like solar photovoltaics (PV), battery storage systems, and intelligent electric loads like electric vehicles and smart appliances, are contributing to the growth of the smart distribution grid. This evolution is transforming the grid into a multifaceted network of interconnected devices and systems, enabling bidirectional data communication and power flows. However, these new layers of data integration and control in the smart grid introduce vulnerabilities to cyberattacks and accidental failures, …

Study Of Capillary Channel Fiber Augmented Geobags For Accelerated Dewatering Of High Moisture Content Fine-Grained Acid Mine Drainage Precipitate, Luke William Daugherty

Graduate Theses, Dissertations, and Problem Reports (ETD)

The objective of this study was to investigate techniques to accelerate filtration and dewatering of Acid Mine Drainage precipitate using geobags augmented with Capillary Chanel Fibers and internal lateral drainage structures. Laboratory and field research investigated increasing the total solids retention of Acid Mine Drainage precipitate in geobag storage systems. Current geobag design and field application of treated AMD precipitate exhibits limited filtration and drainage efficiency due to the high moisture content (2500%) polymer amended AMD flocculated solids. Capillary channel fibers (CCFs) are geosynthetic yarns formed with microgrooves and set into bundled arrangements capable of wicking water, via capillary action, …

Component Optimization Of A Parallel P4 Hybrid Electric Vehicle Utilizing An Equivalent Consumption Minimization Strategy, Holden Ryan Fraser

Graduate Theses, Dissertations, and Problem Reports (ETD)

Advancements in battery and electric motor technology have driven the development of hybrid electric vehicles to improve fuel economy. Hybrid electric vehicles can utilize an internal combustion engine and an electric motor in many configurations, requiring the development of advanced energy management strategies for a range of component configurations. The Equivalent Consumption Minimization Strategy (ECMS) is an advanced energy management strategy that can be calculated in-vehicle in real-time operation. This energy management strategy uses an equivalence factor to equate electrical to mechanical power when performing the torque split determination between the internal combustion engine and electric motor. This equivalence factor …

Design And Validation Of An Aerodynamic System For A Formula Sae® Vehicle Using Vehicle Dynamic Simulation And Experimentation, Evan S. Cole

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis presents the design, simulation, and experimental validation for the aerodynamic system for a Formula SAE® vehicle. The Society of Automotive Engineers ® (SAE) hosts a collegiate competition annually called Formula SAE® where students design, fabricate, and test a small “formula style” vehicle. The vehicle performs in relatively slow maneuvers, around different courses and tests to evaluate the vehicle’s overall performance. Over the years, collegiate teams have put significant research into the design and manufacturing of the aerodynamics of these vehicles. In order to justify this undertaking for future teams at West Virginia University’s Formula SAE® program, a comprehensive …

Finite Element Modeling And Analysis Of Breech Face Impressions, James A. Hamilton

Graduate Theses, Dissertations, and Problem Reports (ETD)

Finite element analysis (FEA) is a technique which has not been widely used in Forensic Science in general and firearms examination in particular. The general utility of FEA was assessed by the simulation of scenarios commonly encountered during the investigation of firearm related crimes. As a test, simulations included the perforation of a windshield and sheet metal with a 9 mm projectile, the development of pseudo subclass characteristics during the manufacturing of a breech face, and the impact of a projectile with another projectile in air and with a solid body. Results from the simulations were compared to projectiles and …

Ai-Driven Security Constrained Unit Commitment Using Predictive Modeling And Eigen Decomposition, Talha Iqbal

Graduate Theses, Dissertations, and Problem Reports (ETD)

Security Constrained Unit Commitment (SC-UC) is a complex large scale mix integer constrained optimization problem solved by Independent System Operators (ISOs) in the daily planning of the electricity markets. After receiving offers and bids, ISOs have only few hours to clear the day-ahead electricity market. It requires a lot of computational effort and a reasonable time to solve a large-scale SC-UC problem. However, exploiting the fact that a UC problem is solved several times a day with only minor changes in the system data, the computational effort can be reduced by learning from the historical data and identifying the patterns …

Machine Learning For Biosensors, Gayathri Anapanani

Graduate Theses, Dissertations, and Problem Reports (ETD)

Biosensors have become increasingly popular as diagnostic tools due to their ability to detect and quantify biological analytes in a wide range of applications. With the growing demand for faster and more reliable biosensing devices, machine learning has become a valuable tool in enhancing biosensor performance. In this report, we review recent progress in the application of machine learning to biosensors. We discuss the potential benefits of using machine learning in biosensors, including improved sensitivity, selectivity, and accuracy. We also discuss the various machine learning techniques that have been applied to biosensors, including data preprocessing, feature extraction, and classification and …

Simulating Energy Performance Of Buildings: A Study Using Equest And Energy Star® Portfolio Manager, Sabin Wagle

Graduate Theses, Dissertations, and Problem Reports (ETD)

The urgent need for improving building energy efficiency in response to global warming and environmental sustainability has highlighted the importance of practical techniques to optimize energy performance. The study utilizes the eQUEST simulation engine and Energy Star® Portfolio Manager to evaluate retrofit and design parameters and conduct a sensitivity analysis to explore the impact of different parameters on building energy performance. The study develops building energy models in eQUEST using data from two fully operational Distribution centers. It is calibrated using the Normalized Mean Bias Error (NMBE) and Coefficient of Variation of Root Mean Square Error (CV(RMSE)) method, meeting the …

Exploring Opportunities And Challenges Of Adopting Exoskeletons And Exosuits In Construction: Identifying Facilitators, Barriers, And Potential Solutions To Those Barriers, Dilruba Mahmud

Graduate Theses, Dissertations, and Problem Reports (ETD)

Exoskeletons and exosuits (collectively termed as EXOs) have the potential to reduce the risk of work-related musculoskeletal disorders (WMSDs) by protecting workers from exertion and muscle fatigue due to physically demanding, repetitive, and prolonged work in construction workplaces. However, the use of EXOs in construction is in its infancy, and much knowledge for driving acceptance, adoption, and application of this technology is still lacking. This paper aims to identify the potential facilitators and barriers to adopting EXOs in the construction industry, along with potential solutions to those identified barriers to fostering the adoption of EXOs in construction workplaces through a …

Learning Representations For Novelty And Anomaly Detection, Ranya Almohsen

Graduate Theses, Dissertations, and Problem Reports (ETD)

The problem of novelty or anomaly detection refers to the ability to automatically

identify data samples that differ from a notion of normality. Techniques

that address this problem are necessary in many applications, like in medical

diagnosis, autonomous driving, fraud detection, or cyber-attack detection, just to

mention a few. The problem is inherently challenging because of the openness of

the space of distributions that characterize novelty or outlier data points. This is

often matched with the inability to adequately represent such distributions due

to the lack of representative data.

In this dissertation we address the challenge above by making several …

Environmental Controls Of Greenhouse Fluxes In Freshwater Wetlands Across The Globe, Samira Jahan

Graduate Theses, Dissertations, and Problem Reports (ETD)

Freshwater wetlands can contribute significantly to the global carbon budget as a net source or sink of the major greenhouse gas (GHG) fluxes such as carbon dioxide (FCO₂) and methane (FCH₄). The amount of GHG fluxes in the freshwater wetlands is highly variable and depends on a range of environmental drivers. These wetlands are commonly hypothesized to be net sinks (i.e., burial) of FCO₂ and net sources (emission) of FCH₄ at the monthly to annual scales. Understanding the environmental controls on the wetland GHG fluxes is essential for an accurate estimation of the global …

Strengthening Of Damaged Structural Members With External Frp, Krishna Tulasi Gadde

Graduate Theses, Dissertations, and Problem Reports (ETD)

Fiber reinforced polymer (FRP) composites are excellent alternatives to traditional materials for civil infrastructure. Several researchers have worked on the application of FRP composites for construction, repair, and rehabilitation of structures. This research aims at evaluating the use of carbon, glass, basalt, and hybrid FRPs with epoxy and polyurethane resin systems for rehabilitation of damaged structural components. Following evaluations were carried out in this research: (i) tension testing of FRP coupons, (ii) compression testing of concrete cylinders with and without damaged sections/FRP reinforcements, (iii) flexural testing of external-FRP reinforced RC beams with and without damages, (iv) pull-off tests on FRP …

Techno-Economic Analysis And Optimization Of Hydrogen And Mechanical Energy Storage Systems, Pavitra Senthamilselvan Sengalani

Graduate Theses, Dissertations, and Problem Reports (ETD)

The increasing significance of renewable energy sources is thrusting the load cycling of fossil-fueled power plants (FFPP), designed to operate under nominal-load conditions. Integration of energy storage systems (ESS) with the FFPPs such as hydrogen energy storage (HES) and mechanical energy storage facility such as compressed air energy storage (CAES) shows the potential to minimize the levelized cost of electricity during high demand scenarios and also minimize the negative impacts of off-design FFPP operation. The deployment of energy storage facilities at the FFPP level have considerable potential advantages as they can be exploited within the existing equipment items and facilities …

Analysis Of The Root Causes Of Fatal Injuries In The United States Surface Mines Between 2008 And 2021., Maria Fernanda Quintero

Graduate Theses, Dissertations, and Problem Reports (ETD)

Mining has long been recognized as a hazardous industry worldwide. An annual average rate of 10.3 fatal injuries per 100,000 workers was recorded in the United States between 2008 and 2021 (MSHA, 2022). This rate can be compared with the average of the industries with the highest average rates of fatal injuries—agriculture, forestry, fishing, and hunting; transportation and warehousing; and construction—which had average rates of 23.5, 13.1, and 9.9 fatal injuries per 100,000 workers, respectively, during the same period in the Unites States (U.S. Bureau of Labor Statistics, 2023).

The scope of this research is related to the fatal injuries …

Evaluating Electrification Of Fossil Fuel-Fired Boilers For Decarbonization Using Discrete Event Simulation, Nahian Ismail Chowdhury

Graduate Theses, Dissertations, and Problem Reports (ETD)

Decarbonizing fossil fuel usage is crucial in mitigating the impacts of climate change. CO2, which comprises the major portion of greenhouse gas, is emitted from burning fossil fuels. One of the significant sources of fossil fuel user is industrial process heating, and most of the heating in industrial processes is achieved through boilers. Electrification is a promising solution for decarbonizing these boilers, as it enables renewable energy sources to generate electricity, which can then be used to power the electric boilers. The electrification of boilers can reduce greenhouse gas emissions, improve air quality, and increase energy efficiency. However, it requires …

Hydraulic Fracturing Treatment Optimization Using Machine Learning, Abdullah Johar

Graduate Theses, Dissertations, and Problem Reports (ETD)

Friction reducers are chemicals used in hydraulic fracturing to reduce friction between fracturing fluid and the wellbore walls, helping to overcome tubular drag at high flow rates. High viscosity friction reducers are increasingly used due to operational and economic benefits, but their optimal concentration for each stage of fracturing is not well studied. As a result, oil and gas companies often use more friction reducers than necessary to ensure designed injection rates are achieved and to avoid screening out, resulting in excess use of FR and economic losses. The primary goal of this Thesis is to fully comprehend and quantify …

Identification Of Rockmass Deformation And Lithological Changes In Underground Mines By Using Slam-Based Lidar Technology, Francisco Eduardo Gil Hurtado

Graduate Theses, Dissertations, and Problem Reports (ETD)

In mining, hazards causing rib and roof fall accidents generally develop with time. The development of a hazard depends on factors like geology, excavation geometry, overburden stress, and mining-induced stresses. Hazard mapping in an underground mine is essential for roof and rib stability assessment. However, often it is neither practical nor economical to inspect and map vast areas of mine workings with limited personnel. New technologies, recently, have been adopted in the mining industry that can solve this problem. Advances in LiDAR technology and simultaneous localization and mapping (SLAM) algorithms have led to the development of portable and mobile laser …

Exploring The Usage Of Acid Mine Drainage Sludge As A Soil Amendment For Reclaimed Mine Lands, Brady Watters

Graduate Theses, Dissertations, and Problem Reports (ETD)

Acid mine drainage (AMD) is a form of water pollution generated when water and oxygen come into contact with sulfide minerals, forming metal ions, sulfuric acid, and sulphates in solution. AMD is characterized by its toxic metals content and low pH, both of which are an environmental concern. The treatment of AMD separates the contaminants into a high-water content sludge. This sludge is a pure waste product under current evaluation for alternative uses as well as improvements to storage and treatment processes. This thesis focused on analyzing the potential for AMD sludge to be used in recently reclaimed lands as …

Generative Adversarial Network And Its Application In Aerial Vehicle Detection And Biometric Identification System, Moktari Mostofa

Graduate Theses, Dissertations, and Problem Reports (ETD)

In recent years, generative adversarial networks (GANs) have shown great potential in advancing the state-of-the-art in many areas of computer vision, most notably in image synthesis and manipulation tasks. GAN is a generative model which simultaneously trains a generator and a discriminator in an adversarial manner to produce real-looking synthetic data by capturing the underlying data distribution. Due to its powerful ability to generate high-quality and visually pleasing
results, we apply it to super-resolution and image-to-image translation techniques to address vehicle detection in low-resolution aerial images and cross-spectral cross-resolution iris recognition. First, we develop a Multi-scale GAN (MsGAN) with multiple …