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Articles 25921 - 25950 of 27083
Full-Text Articles in Entire DC Network
Strengthening The Academic Progress Of Students Within Multi-Tiered Systems Of Support, Leslie Dial
Strengthening The Academic Progress Of Students Within Multi-Tiered Systems Of Support, Leslie Dial
College of Graduate Studies: Theses & Dissertations
Leadership in education is thinking, communicating, and modeling to maximize student growth and achievement. This quantitative research study explored how leadership can strengthen the academic progress of students within Multi-Tiered Systems of Support (MTSS). When implementation of MTSS is guided by adaptive school leadership, educators will be prepared, communication will occur, interventions will be established, and data will be evaluated. Adaptive leaders who build efficacy will ensure fidelity and continuous improvement of student achievement.
Survey research was conducted to analyze the operational level of MTSS regarding the domains of Leadership, Building Capacity for Instruction, Communication and Collaboration, Data-Based Problem-Solving, Tiered …
Executive Function & Self-Regulation In Preschool Age Children: Mindfulness Intervention, Larissa Lamarca
Executive Function & Self-Regulation In Preschool Age Children: Mindfulness Intervention, Larissa Lamarca
College of Graduate Studies: Theses & Dissertations
Executive function is an umbrella term used in psychology to define a number of cognitive processes that are important for success in daily life. Both self-awareness, being able to focus one’s thoughts and behavior, and self-regulation, being able to manage emotional and behavioral responses, are important components of executive function. Between three- and five-years of age, children begin developing such skills rapidly which are necessary for school readiness. This study recruited children participants from four local preschools to test for improvement in attention and self-regulatory skills. Two schools completed a mindful yoga activity for five consecutive days, while a second …
New Women In The Old Dominion: Race And Gender In Progressive-Era Virginia, Rachel Scott
New Women In The Old Dominion: Race And Gender In Progressive-Era Virginia, Rachel Scott
College of Graduate Studies: Theses & Dissertations
This thesis traces the development of Black and white Southern women’s pursuit of political power between the end of the Civil War and the ratification of the Nineteenth Amendment in 1920. Emancipation and the downfall of the antebellum planter aristocracy upset traditional Southern gender norms and opened new doors for women of both races in the political upheaval of Reconstruction. Though both Black and white women participated in the women’s club movement and joined women’s advocacy and charity groups following the Civil War, their work was distinctive both from each other and from other regional Progressive movements. The context of …
Campus Safety Data Gathering, Classification, And Ranking Based On Clery-Act Reports, Walaa F. Abo Elenin
Campus Safety Data Gathering, Classification, And Ranking Based On Clery-Act Reports, Walaa F. Abo Elenin
College of Graduate Studies: Theses & Dissertations
Most existing campus safety rankings are based on criminal incident history with minimal or no consideration of campus security conditions and standard safety measures. Campus safety information published by universities/colleges is usually conceptual/qualitative and not quantitative and are based-on criminal records of these campuses. Thus, no explicit and trusted ranking method for these campuses considers the level of compliance with the standard safety measures. A quantitative safety measure is important to compare different campuses easily and to learn about specific campus safety conditions.
In this thesis, we utilize Clery-Act reports of campuses to automatically analyze their safety conditions and generate …
Computational And Experimental Investigation Of Mass Reduced Aircraft Wing Ribs, Charles R. Fricks Iii
Computational And Experimental Investigation Of Mass Reduced Aircraft Wing Ribs, Charles R. Fricks Iii
College of Graduate Studies: Theses & Dissertations
This study seeks to develop and evaluate a novel design of mass reduced aircraft wing ribs through the topology optimization method. For comparison, the same examination is performed on ribs with normal internal geometry. The wing rib design is based on that of the Gulfstream G650 transonic jet. The rib was divided into three segments for analysis based around the positions of the two spars. Only the center section of the rib (that being between the forward and aft spars) is mass optimized, while the leading and trailing edges of the ribs (outside the spars) will be kept solid for …
The Use Of The Pile Driving Analyzer For Piles Seated On Rock, William Eason
The Use Of The Pile Driving Analyzer For Piles Seated On Rock, William Eason
College of Graduate Studies: Theses & Dissertations
The PDA Test has been used for mostly driven piles since the 1970s. The PDA test gets the capacity of the pile by measuring the displacement of the pile being driven into the ground by using sensors called accelerometers. For the case in Georgia, the pile is sitting on the rock and being struck by the hammer selected. This pile sits on a hole that is already pre-drilled into the ground. There are concerns when striking the pile on hard rock such as damaging the pile because of too much hammer energy or other safety concerns in the field that …
Relationship Between School Climate And Student Achievement In Middle Schools, Brad Boykin
Relationship Between School Climate And Student Achievement In Middle Schools, Brad Boykin
College of Graduate Studies: Theses & Dissertations
Administrators are charged with making decisions and implementing strategies to improve a school’s climate and student achievement. Because school climate and student achievement are interrelated, it would benefit administrators to understand which areas of school climate have the greatest impact on student achievement. The State of Georgia measures school climate and achievement with its school accountability measure, College and Career Ready Performance Index (CCRPI). This study employed a quantitative research design using archival data from CCRPI over two years to examine the relationship between school climate and student achievement. The researcher used Pearson’s r correlation and multiple regression analysis to …
Using Machine Learning Classification And Esa Sentinel 2 Multispectral Imager Data To Delineate Marsh Vegetation And Measure Ecotone Movement In Coastal Georgia, Thomas A. Pudil
College of Graduate Studies: Theses & Dissertations
Tidal marshes are unique communities that are subjected to environmental stressors including sea level rise, salinity change, and drought, resulting in constant change. It is important to monitor these changing areas because of the ecosystem services they provide to us, such as protection from storms and carbon sequestration. The proposed work for this thesis project is focused on the study of tidal marshes and the dynamics between the vegetation species within them. The aim of this project is to use geospatial technology and analyses, along with machine learning classification methods, to monitor change in these valuable ecosystems. The Georgia coast …
Remote Sensing Of Georgia Tidal Marsh Habitats Using Aerial Photography And Planetscope Satellite Imagery, Harrison M. Currin
Remote Sensing Of Georgia Tidal Marsh Habitats Using Aerial Photography And Planetscope Satellite Imagery, Harrison M. Currin
College of Graduate Studies: Theses & Dissertations
Globally, tidal marshes cover about 90,800 km. Within the state of Georgia tidal marshes are primarily located behind the barrier islands and total 1,619 km2. The combination of high salinity environments and daily inundation, and being dependent on river output, make these dynamic systems. Tidal marshes provide numerous ecosystem services such as carbon and nitrogen sequestration, flood control, coastal protection, and numerous biogeochemical processes. Due to their unique position, tidal marshes are under threat from sea level rise, drought, coastal development, and large-scale disturbance events. Tidal freshwater marshes are especially susceptible to these threats due to their geographic …
The Effects Of Cucurbitacin B And Silmitasertib On Metastasis And Itga6 Using The Zebrafish Tumor-Xenograft, Alexandra Griffis
The Effects Of Cucurbitacin B And Silmitasertib On Metastasis And Itga6 Using The Zebrafish Tumor-Xenograft, Alexandra Griffis
College of Graduate Studies: Theses & Dissertations
Ninety percent of cancer deaths are resultant from the metastasis of cancer cells. When cancer cells translocate through blood vessels or the lymphatic system, they may form tumors outside of their primary site. The processes of metastasis can begin quickly; after onset, metastasis is unforgiving, as it does not participate with the body’s physiological systems in an orderly way. In the past, our lab produced results indicating that a cell adhesion molecule, Integrin Alpha-6, may contribute to cancer cells' ability to metastasize. Integrins mediate interactions between the cell and the Extracellular Matrix (ECM), regulating cell attachment and cell migration. With …
The Relationship Between Academic Advising And Students' Completion Of Corequisite Gateway Courses, Michael P. Moran
The Relationship Between Academic Advising And Students' Completion Of Corequisite Gateway Courses, Michael P. Moran
College of Graduate Studies: Theses & Dissertations
This bivariate correlational quantitative study sought to determine how variables predicted students’ course outcomes in first-year English and mathematics courses within a corequisite learning support model. Course outcomes were defined dichotomously on a successful completion or unsuccessful completion basis. The participants of this study included those who initially attempted first-year English (n = 2,055) and mathematics (n = 2,843) course(s) in a corequisite learning support model for the first time between Fall 2018 and Spring 2022 and were assigned as advisees to the professional academic advisors in the centralized advising model. The examined predictors were students’ frequency of sessions, length …
Loggerhead Sea Turtle (Caretta Caretta) Nesting Experience, Seasonal Variation, And Hatching Success On A Georgia Barrier Island, Luke Sundquist
Loggerhead Sea Turtle (Caretta Caretta) Nesting Experience, Seasonal Variation, And Hatching Success On A Georgia Barrier Island, Luke Sundquist
College of Graduate Studies: Theses & Dissertations
Loggerhead sea turtles nest commonly on the Georgia barrier islands and serve critical roles in human cultures, coastal economies, and multiple ecosystems. However, their global populations are declining and dependent on conservation efforts and informed management of natural and anthropogenic threats. Nesting offers a unique opportunity to research and protect this valuable marine species in terrestrial habitats. Microsatellite DNA sampling from eggshells can consistently identify nesting females from eggshells, allowing tracking of nesting behaviors for large populations over multiple years. Using this novel technology, we compared maternal investment and nest site-selection between first-time nesting neophytes and experienced remigrants. We sampled …
Middle Savannah River: An A/R/Tographic Ecopedagogical Ethnography Experimenting With Rhizomatic Perspectives, Lisa Augustine-Chizmar
Middle Savannah River: An A/R/Tographic Ecopedagogical Ethnography Experimenting With Rhizomatic Perspectives, Lisa Augustine-Chizmar
College of Graduate Studies: Theses & Dissertations
This research is an experiment in perspective. Using the four commonplaces (Schwab, 1978), I practiced letting the Savannah River teach me what there is to know about the water, the land, the people, and the other entities that depend on ki through artistic, ethnographic, and ecopedagogical lenses. The ethnographic findings describe the social actors that depend on ki and give a voice to the River. The a/r/tographic findings display the River on a canvas map through two hundred years using paint, clay, photography, video, abstract acrylics, and fabric. Together, these methods contribute to a unique ecopedagogical journey. This word cloud …
Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun
Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun
College of Graduate Studies: Theses & Dissertations
Data science plays a crucial role in enabling organizations to optimize data-driven opportunities within financial risk management. It involves identifying, assessing, and mitigating risks, ultimately safeguarding investments, reducing uncertainty, ensuring regulatory compliance, enhancing decision-making, and fostering long-term sustainability. This thesis explores three facets of Data Science projects: enhancing customer understanding, fraud prevention, and predictive analysis, with the goal of improving existing tools and enabling more informed decision-making. The first project examined leveraged big data technologies, such as Hadoop and Spark, to enhance financial risk management by accurately predicting loan defaulters and their repayment likelihood. In the second project, we investigated …
Blockchain Securities Issues: Decentralized Identity System With Key Management Perspective, Olalekan O. Adaramola
Blockchain Securities Issues: Decentralized Identity System With Key Management Perspective, Olalekan O. Adaramola
College of Graduate Studies: Theses & Dissertations
Blockchain was created many years ago to solve the problems of data transfer Integrity, several years later the issues persist. Blockchain securities are one of the most important considerations to be investigated, and data integrity is about ensuring the accuracy and validity of messages such that when they are read, they are the same as when they were first written. It is of the opinion that passing information across from one person to another cannot be the same as it was first said at the onset. Our work investigated Blockchain security issues, studying Integrity emanating from transactions across the blocks …
Comparative Analysis Of Fullstack Development Technologies: Frontend, Backend And Database, Qozeem Odeniran
Comparative Analysis Of Fullstack Development Technologies: Frontend, Backend And Database, Qozeem Odeniran
College of Graduate Studies: Theses & Dissertations
Accessing websites with various devices has brought changes in the field of application development. The choice of cross-platform, reusable frameworks is very crucial in this era. This thesis embarks in the evaluation of front-end, back-end, and database technologies to address the status quo. Study-a explores front-end development, focusing on angular.js and react.js. Using these frameworks, comparative web applications were created and evaluated locally. Important insights were obtained through benchmark tests, lighthouse metrics, and architectural evaluations. React.js proves to be a performance leader in spite of the possible influence of a virtual machine, opening the door for additional research. Study b …
A Novel Approach To Detecting And Mitigating Keyloggers, Damilola Osedumbi Elelegwu
A Novel Approach To Detecting And Mitigating Keyloggers, Damilola Osedumbi Elelegwu
College of Graduate Studies: Theses & Dissertations
As the digital world gets increasingly ingrained in our daily lives, cyberattacks—especially those involving malware—are growing more complex and common, which calls for developing innovative safeguards. Keylogger spyware, which combines keylogging and spyware functionalities, is one of the most insidious types of cyberattacks. This malicious software stealthily monitors and records user keystrokes, amassing sensitive data, such as passwords and confidential personal information, which can then be exploited. This research work introduces a novel browser extension designed to thwart keylogger spyware attacks effectively. The extension is underpinned by a cutting-edge algorithm that meticulously analyzes input-related processes, promptly identifying and flagging any …
Assessing The Fidelity Of School-Level Professional Learning Community Implementation, William W. Thigpen Ii
Assessing The Fidelity Of School-Level Professional Learning Community Implementation, William W. Thigpen Ii
College of Graduate Studies: Theses & Dissertations
ABSTRACT
As schools face increasing accountability, many have turned to professional learning communities (PLCs) as a possible solution. The challenge is that many schools are not implementing PLCs with fidelity. It is imperative that school leaders assess PLC practices to ensure that critical components are being implemented effectively. This research provides a framework for school leaders to assess school leader, teacher, and support staff perceptions of various PLC dimensions. Descriptive statistics were used to determine levels of agreement with statements related to six PLC dimensions. A one-way univariate analysis of variance tests (ANOVA) was used to analyze differences in mean …
Investigating Salinity Intrusion Effects On Sapelo Island, Georgia Using Benthic Macroinvertebrate Bioindicators, Raymond Paul Kidder Ii
Investigating Salinity Intrusion Effects On Sapelo Island, Georgia Using Benthic Macroinvertebrate Bioindicators, Raymond Paul Kidder Ii
College of Graduate Studies: Theses & Dissertations
Coastal wetlands are threatened by the compounding effects of sea level rise and historical land modification. Historically, much of Sapelo Island, Georgia was deforested and drained using a series of ditches and canals to create arable land fit for agriculture and to provide drainage to the inhabited parts of the island. Today, this network of artificial channels is believed to be facilitating the movement of saltwater from the nearby estuary into freshwater areas on the interior of the island. This study aimed to better understand the frequency and magnitude of salinity intrusion events along with their resulting impacts to the …
Network Intrusion Detection Using Deep Reinforcement Learning, Hamed T. Sanusi
Network Intrusion Detection Using Deep Reinforcement Learning, Hamed T. Sanusi
College of Graduate Studies: Theses & Dissertations
This thesis delves into cybersecurity by applying Deep Reinforcement(DRL) Learning in network intrusion detection. One advantage of DRL is the ability to adapt to changing network conditions and evolving attack methods, making it a promising solution for addressing the challenges involved in intrusion detection. The thesis will also discuss the obstacles and benefits of using Classification methods for network intrusion detection and the need for high-quality training data. To train and test our proposed method, the NSL-KDD dataset was used and then adjusted by converting it from a multi-classification to a binary classification, achieved by joining all attacks into one. …
Promoting The Positive: A Case Study Of The Influence Of School Climate On One Turnaround School From 2016-2022, Cynthia Gunner
Promoting The Positive: A Case Study Of The Influence Of School Climate On One Turnaround School From 2016-2022, Cynthia Gunner
College of Graduate Studies: Theses & Dissertations
Schools across the country are finding various means to address the social realities that often exist in high poverty schools. School climate is one of those social realities. While there is research related to school climate in high poverty schools, there are limited case studies related to this subject. This qualitative case study examined how one elementary school was transformed by creating a positive school climate between 2016-2022. This study also explored the impact that the pandemic and subsequent school lockdown had on the newly established school climate. Findings from this study indicated that PF Elementary School established a positive …
Investigation Of Additives And Ingredients Of Bio-Resin For Visible Wavelength Laser-Induced Polymerization, Patrick Riggs
Investigation Of Additives And Ingredients Of Bio-Resin For Visible Wavelength Laser-Induced Polymerization, Patrick Riggs
College of Graduate Studies: Theses & Dissertations
Optical 3D printing is a branch of Additive manufacturing (AM) that utilizes low-waste production leading to efficient and rapid prototyping. Currently, this method of AM is associated with mainly petroleum-based resins. Bio-resin polymerization is an emerging research area for finding replacements for petroleum-based resins, but curing the resin with laser energy is not normally a practical use case. Current optical 3D printing uses lasers to cure liquid resins to form solid 3D objects in a layer-by-layer process which is time consuming, defect prone, and a leading limiting factor for high volume production; so, finding a way to incorporate bio-resin into …
Assessment Of Atmospheric Correction Algorithms For The Remote Sensing Of Water Quality In Southeastern U.S. Estuaries, Jerome Reimers
Assessment Of Atmospheric Correction Algorithms For The Remote Sensing Of Water Quality In Southeastern U.S. Estuaries, Jerome Reimers
College of Graduate Studies: Theses & Dissertations
Water quality is a key indicator in understanding and representing an environment's overall health. Through developments in remote sensing, we can utilize satellite imagery to measure water parameters in each aquatic system. When accurate atmospheric correction is performed, remote sensing can account for atmospheric attenuation and scattering effects to better measure the reflectance and estimate optically active constituents (OAC) present in upper water columns. Atmospheric Correction for OLI lite (ACOLITE) is an atmospheric correction algorithm designed specifically for robust atmospheric correction of water surfaces, in comparison to algorithms designed more for land surfaces such as the European Space Agency’s (ESA) …
Decentralized And Coordinated V-F Control For Islanded Microgrids Considering Der Inadequacy And Demand Control, Buxin She, Fangxing Li, Hantao Cui, Jinning Wang, Liang Min, Oroghene Oboreh-Snapps, Rui Bo
Decentralized And Coordinated V-F Control For Islanded Microgrids Considering Der Inadequacy And Demand Control, Buxin She, Fangxing Li, Hantao Cui, Jinning Wang, Liang Min, Oroghene Oboreh-Snapps, Rui Bo
Electrical and Computer Engineering Faculty Research & Creative Works
This Paper Proposes a Decentralized and Coordinated Voltage and Frequency (V-F) Control Framework for Islanded Microgrids, with Full Consideration of the Limited Capacity of Distributed Energy Resources (DERs) and V-F Dependent Load. First, the Concept of DER Inadequacy is Illustrated with the Challenges It Poses. Then, a Decentralized and Coordinated Control Framework is Proposed to Regulate the Output of Inverter-Based Generations and Reallocate Limited DER Capacity for V-F Control. the Control Framework is Composed of a Power Regulator and a V-F Regulator, Which Generates the Supplementary Signals for the Primary Controller. the Power Regulator Regulates the Output of Grid-Forming Inverters …
Embeddable Soil Moisture Content Sensor Based On Open–End Microwave Coaxial Cable Resonator, Jing Guo, Yan Tang, Yongji Wu, Chen Zhu, Jie Huang
Embeddable Soil Moisture Content Sensor Based On Open–End Microwave Coaxial Cable Resonator, Jing Guo, Yan Tang, Yongji Wu, Chen Zhu, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
In This Paper, We Propose and Demonstrate a Novel Corrosion-Resistant, Embeddable Open-End Coaxial Cable Soil Moisture Sensor. This Microwave Resonator is Constructed using Two Reflectors Along the Coaxial Line. the First Reflector is a Metal Post at the Signal Input End, Short-Circuiting the Inner Conductor to the Outer Conductor. the Second Reflector Comprises a Welded Metal Plate Parallel to the Open-End of the Coaxial Line, Maintaining a Fixed Gap. a Moisture-Sensitive Polyvinyl Alcohol (PVA) Film is Inserted into This Gap. the Resonance Frequency of the Open-End Coaxial Cable Resonator is Highly Dependent on the Fringe Capacitance, Which Varies with Soil …
An Extended Generalized Average Modeling Framework For Power Converters, Kartikeya Jayadurga Prasad Veeramraju, Jacob A. Mueller, Jonathan W. Kimball
An Extended Generalized Average Modeling Framework For Power Converters, Kartikeya Jayadurga Prasad Veeramraju, Jacob A. Mueller, Jonathan W. Kimball
Electrical and Computer Engineering Faculty Research & Creative Works
The Generalized Averaged Modeling (GAM) technique is traditionally employed to capture the dynamic performance of power electronic converters. This paper proposes an improved version of it, named the Extended-GAM (EGAM) technique, which supports the multiplication of two Double Fourier Series (DFS) signals in the time domain. Multiplication of DFS signals in the time domain translates to the 2D-convolution of coefficients of the DFS terms of their equivalent Discrete Fourier Image (DFI) representations. Thus, the proposed EGAM technique, capable of capturing many harmonics present in the output of a power converter, effectively captures the dynamic behavior of power converters excited by …
Inverter Pq Control With Trajectory Tracking Capability For Microgrids Based On Physics-Informed Reinforcement Learning, Buxin She, Fangxing Li, Hantao Cui, Hang Shuai, Oroghene Oboreh-Snapps, Rui Bo, Nattapat Praisuwanna, Jingxin Wang, Leon M. Tolbert
Inverter Pq Control With Trajectory Tracking Capability For Microgrids Based On Physics-Informed Reinforcement Learning, Buxin She, Fangxing Li, Hantao Cui, Hang Shuai, Oroghene Oboreh-Snapps, Rui Bo, Nattapat Praisuwanna, Jingxin Wang, Leon M. Tolbert
Electrical and Computer Engineering Faculty Research & Creative Works
The increasing penetration of inverter-based resources (IBRs) calls for an advanced active and reactive power (PQ) control strategy in microgrids. To enhance the controllability and flexibility of the IBRs, this paper proposed an adaptive PQ control method with trajectory tracking capability, combining model-based analysis, physics-informed reinforcement learning (RL), and power hardware-in-the-loop (HIL) experiments. First, model-based analysis proves that there exists an adaptive proportional-integral controller with time-varying gains that can ensure any exponential PQ output trajectory of IBRs. These gains consist of a constant factor and an exponentially decaying factor, which are then obtained using a model-free deep reinforcement learning approach …
Wideband Inverse Matrix For Radiated Two-Stage Mimo Measurements, Jun Li, Bin Lin, Yihong Qi, James L. Drewniak, Jiang Zhu, Daryl G. Beetner
Wideband Inverse Matrix For Radiated Two-Stage Mimo Measurements, Jun Li, Bin Lin, Yihong Qi, James L. Drewniak, Jiang Zhu, Daryl G. Beetner
Electrical and Computer Engineering Faculty Research & Creative Works
Multiple-input and multiple-output (MIMO) technology is one of the significant components in the growing fifth-generation (5G) communication systems. The 5G system has expanded its frequency range and widened the bandwidth to achieve higher throughput rates and more stable wireless qualities, which brings new challenges to the over-the-air (OTA) MIMO evaluations. The wide bandwidth introduces systematic uncertainties into the MIMO measurement because of the increased amplitude and phase variation issues under different frequencies in the wideband signals, and it could lead to invalid MIMO throughput measurement results when severe. The effect on antenna isolation resulting from amplitude and phase variation in …
Thermal Diffusivity Materials Characterization Via Active Microwave Thermography, Logan M. Wilcox, Kristen M. Donnell
Thermal Diffusivity Materials Characterization Via Active Microwave Thermography, Logan M. Wilcox, Kristen M. Donnell
Electrical and Computer Engineering Faculty Research & Creative Works
Active microwave thermography (AMT) is a relatively new nondestructive evaluation method which is proposed in this work for thermal materials characterization. Specifically, AMT is investigated as a single-sided measurement option for out-of-plane thermal diffusivity (a parameter traditionally measured using a two-sided technique). Simulation and measurement results support the use of AMT for such a characterization for materials backed by an electromagnetically absorptive material. Both lossless and lossy materials may be measured, with better accuracy for lossless materials. The effect of heating time was also considered. The results indicate that for the 50 W system used here, 100 seconds of electromagnetic …
Transformer Leakage Inductance Design Methodology, Angshuman Sharma, Jonathan W. Kimball
Transformer Leakage Inductance Design Methodology, Angshuman Sharma, Jonathan W. Kimball
Electrical and Computer Engineering Faculty Research & Creative Works
The leakage inductance exhibited by a transformer depends on its winding geometry, which generally involves the selection of several key design parameters in addition to the winding structure and the interleaving configuration. With few resources explaining the effects of these design choices on the observed leakage inductance, numerous trial-and-error iterations become necessary to realize the desired leakage inductance. This paper explores more than a hundred winding geometries feasible in a 2- winding transformer comprising the same magnetic core, number of turns, and wire gauge, and finds the leakage inductance for each unique design using 2-D finite element method (FEM) simulations …