Digital Commons Network^™

Investigation Of The Effect Of Material Density And Particle Size On Mixed Powder Spreading Behavior In Powder Bed Fusion Process, Alfred Kofi Apianing Achenie

Theses and Dissertations

Powder spreading marks a crucial step in the Laser powder bed fusion process, directly impacting the powder bed uniformity and paving the way for subsequent stages in the process. The laser powder bed fusion process depends heavily on the composition of the metallic powder feedstock. While most existing studies focus on pre-alloyed powders, limited work has explored the use of elemental powder blends as feedstock as used in in-situ alloying. Pre-alloyed powders are often costly, exhibit irregular morphologies and offer limited flexibility in material selection. This study uses Discrete Element Method (DEM) simulations to investigate how variations in material density …

Building A Long Text Privacy Policy Corpus With Multi-Class Labels, David Stein, Florencia Marotta-Wurgler

Vanderbilt Law School Faculty Publications

Legal text poses distinctive challenges for natural language processing. The legal import of a term may depend on omissions, cross-references, or silence, Further, legal text is often susceptible to multiple valid, conflicting interpretations; as the saying goes: a good lawyer’s answer to any question is “it depends.”This work introduces a new, hand-coded dataset for the interpretation of privacy policies. It includes privacy policies from 149 firms, including materials incorporated by reference. The policies are annotated across 64 dimension that reflect the applicable legal rules and contested terms from EU and US privacy regulation and litigation. Our annotation methodology is designed …

Data Annotations, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Pixel-wise object masks for each polarimetric scene in ASL file format for the Model Desert Terrain Monochromatic DoT data.

Distributed Monitoring Of Moving Thermal Targets Using Unmanned Aerial Vehicles And Gaussian Mixture Models, Gustavo Vejarano, Yuanji Huang, Pavithra Sripathanallur Murali

Electrical and Computer Engineering Faculty Works

This paper contributes a two-step approach to monitor clusters of thermal targets on the ground using unmanned aerial vehicles (UAVs) and Gaussian mixture models (GMMs) in a distributed manner. The approach is tailored to networks of UAVs that establish a flying ad hoc network (FANET) and operate without central command. The first step is a monitoring algorithm that determines if the GMM corresponds to the current spatial distribution of clusters of thermal targets on the ground. UAVs make this determination using local data and a sequence of data exchanges with UAVs that are one-hop neighbors in the FANET. The second …

A Study On The Multifunctional Properties And Application Perspectives Of Zno/Sic Composite Materials, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

ZnO/SiC nanocomposite materials possess significant potential for various technological fields due to their extraordinary optical, electrical, thermal, and mechanical properties. The synthesis methods, material properties, and diverse applications of ZnO/SiC composites have been systematically explored in this study. The potential application areas of this nanocomposite include their roles in photocatalysis, optoelectronic devices, gas sensors, and photovoltaic systems. The synergetic effects of ZnO and SiC are analyzed to highlight their advantages over their individual components. Future research directions must focus on the remaining challenges to optimize these nanoscale composite materials for industrial and emerging applications.

Decentralised Consensus Control Of Hybrid Synchronous Condenser And Grid-Forming Inverter Systems In Renewable-Dominated Low-Inertia Grids, Hamid Soleimani, Asma Aziz, S. M.Muslem Uddin, Mehrdad Ghahramani, Daryoush Habibi

Research outputs 2022 to 2026

The increasing penetration of renewable energy sources (RESs) has significantly altered the operational characteristics of modern power systems, resulting in reduced system inertia and fault current capacity. These developments introduce new challenges for maintaining frequency and voltage stability, particularly in low-inertia grids that are dominated by inverter-based resources (IBRs). This paper presents a hierarchical control framework that integrates synchronous condensers (SCs) and grid-forming (GFM) inverters through a leader–follower consensus control architecture to address these issues. In this approach, selected GFMs act as leaders to restore nominal voltage and frequency, while follower GFMs and SCs collaboratively share active and reactive power. …

Incorporating Waste Plastics Into Pavement Materials: A Review Of Opportunities, Risks, Environmental Implications, And Monitoring Strategies, Ali Ghodrati, Nuha S. Mashaan, Themelina Paraskeva

Research outputs 2022 to 2026

The integration of waste plastics into pavement materials offers a dual benefit of enhancing road performance and mitigating the environmental burden of plastic waste. This review critically examines the opportunities and challenges associated with incorporating waste plastics in pavement construction, with an emphasis on their impact on the mechanical properties, durability, and life cycle performance of pavements. Special attention is given to the environmental implications, particularly the potential generation and release of micro- and nano-plastics during the pavement life cycle. This paper further evaluates current monitoring and analytical methodologies for detecting plastic emissions from road surfaces and explores emerging approaches …

Distinctive Transpassivation Behavior And Characteristics Of Passive Films Of Laser Powder Bed Fusion Produced And Annealed Ti–6al–4v In Hank's Solution, Yi Fan Zhang, Liang Yu Chen, Ze Xin Wang, Hong Yu Yang, Maksym Bobrov, Dobuvyy Oleksandr, Yong Liu, Lai Chang Zhang

Research outputs 2022 to 2026

Passivated Ti alloys typically demonstrate enhanced corrosion resistance due to the formation of passive films. Intriguingly, in comparison to the annealed Ti–6Al–4V, laser powder bed fusion (LPBF) produced Ti–6Al–4V exhibits significantly attenuated transpassivation behavior in Hank's solution. This work investigated the electrochemical responses of both samples before and after the transpassivation region to illustrate the underlying mechanism for the phenomenon. In the passivation region, both samples displayed analogous passivation behavior, with the annealed and LPBF-produced Ti–6Al–4V having the current densities of 6.64 × 10⁻⁶ and 8.14 × 10⁻⁶ A cm⁻² at 1 V, respectively. Between 1.5 V …

Satellite Radar Imagery Analysis For Ground Hazard Risk Monitoring In Railway Tracks And Slopes, Sumanth Varma Byrraju

Theses and Dissertations

Railway transportation is essential to national economies globally, and disruptions from geohazards can result in significant operational delays and considerable economic consequences. Satellite radar technologies, including Interferometric Synthetic Aperture Radar (InSAR), offer an effective means to monitor geohazard risks across extensive railway networks. This thesis employs Multi-Temporal InSAR (MTInSAR) techniques, including Persistent Scatterer InSAR (PSInSAR) and Small Baseline Subset (SBAS), to identify high-risk areas along railway rights of way (ROW) prior to geohazard occurrences. However, the efficiency of these MT-InSAR and, consequently, the caliber of the data generated may be restricted by elements like topographical profile, vegetation, and surface soil …

Microstructure And Defects Of Aa6061 In The Laser Powder Bed Fusion Additive Manufacturing, Sivaji Karna

Theses and Dissertations

AA6061 is a widely used aluminum alloy known for its excellent thermal conductivity, strength, and corrosion resistance. However, its application in Laser Powder Bed Fusion (LPBF) additive manufacturing is restricted by solidification cracking and porosity. This study examines defect formation, microstructural evolution, and precipitate behavior in AA6061 processed under various LPBF conditions, including room temperature and heated substrates (500°C), as well as pulsed wave laser configurations. Microstructural characterization was conducted using optical microscopy, scanning electron microscopy (SEM) with energy dispersive X-ray spectroscopy (EDS) and electron backscatter diffraction (EBSD), and transmission electron microscopy (TEM).

A maximum relative density of 99.17% was …

Electrochemically Active Liquid Organic Hydrogen Carriers For Energy Generation And Storage, Jinyao Tang

Theses and Dissertations

The growing demand for sustainable energy has spurred interest in hydrogen as a clean energy carrier, yet its widespread adoption is limited by storage and transport challenges. Liquid organic hydrogen carriers (LOHCs) offer a promising solution by enabling reversible hydrogen storage through chemical redox reactions under ambient conditions. Compared to conventional thermal methods, LOHC electrochemistry provides improved energy efficiency, operational safety, and integration into electrochemical systems. However, key challenges remain, such as catalyst deactivation, limited redox reversibility, and low system-level performance that hinder broader application. Alcohols like isopropanol (IPA) and cyclohexanol (CHOL), and amines like ethylamine, have emerged as promising …

Mission Engineering Competencies Workshop Report: Roles, Responsibilities, And Skills, James D. Moreland, Jr. (Editor), Thomas Irwin, Robert-Allen Baker

Center for Mission Engineering (CME) Publications

This report summarizes the findings of a two-day Old Dominion University Mission Engineering Workshop involving the U.S. Navy, U.S. Marine Corps, U.S. Air Force, National Aeronautics and Space Administration, the University of New South Wales, and Old Dominion University, focused on defining the roles, competencies, and skills essential to Mission Engineering. It presents a structured competency framework and offers recommendations to guide workforce development, training, and cross-agency collaboration in support of complex, mission-driven systems.

Balancing Infrastructure Demands: Analysis Of Materials Pricing And Supply, Bethany Paris, Ying Li, Steve Waddle, Bryan Gibson

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) lets around 700 contracts year valued at over $1 billion. One of KYTC’s foremost goals is to deliver projects on time and on budget. However, over the past five years achieving these twin goals has grown in difficulty due to material shortages, widespread inflation, supply chain disruptions, and the tight labor market triggered by the COVID-19 pandemic. Although material shortages have abated and supply chain disruptions have eased, instability is seemingly a permanent feature of the national and global economies. As such, Cabinet decision makers need reliable tools that can be used to understand historical …

Enhanced Pavement Project Prioritization, Bryan Gibson, Jon Wilcoxson, Gayle Marks

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) is responsible for inspecting, maintaining, and improving 27,000 centerline miles of pavement. Given the vastness of the state’s transportation network, KYTC needs a robust method for prioritizing pavement preservation projects. The Cabinet has relied on pavement condition ratings, data collected using Laser Crack Measurement Systems, and input from district-level staff to prioritize these types of projects. But this approach overlooks information that should be considered, such as factors related to safety, mobility, and geographic context. To resolve these shortcomings, Kentucky Transportation Center (KTC) researchers worked with KYTC subject-matter experts to develop the Enhanced Pavement Prioritization …

Artificial Intelligence In Everyday Life, Sally Brown

Artificial Intelligence Exhibit

This section explores using AI in everyday life including decision making.

Ai Questions; "The Ai Tea", Sally Brown

Artificial Intelligence Exhibit

This section includes a series of questions related to AI and the exhibit content, as well as button designs by WVU students and Art in the Libraries committee members, a list of the exhibition sponsors, and information on the exhibition launch panel.

Artificial Intelligence: The Twilight Zone And Conclusion, Sally Brown

Artificial Intelligence Exhibit

This section concludes the exhibit with an exploration of the deepfake dilemma, existential risks and societal impacts, and takeaway inquiries.

Artificial Intelligence Introduction Section, Seth Newell, Sally Brown

Artificial Intelligence Exhibit

The introduction gives an overview of the exhibition, along with an explanation of AI literacy, AI vs. Google, and a basic AI timeline.

Artificial Intelligence In Education, Sally Brown, Jill Woods, Mohamed Hefeida, Jennifer Sano-Franchini, Megan Vendemia, Erin Brock Carlson, Megan Leight, Gangqing Hu, Nicole Fuller

Artificial Intelligence Exhibit

This section explores the intersection of AI and education, including an overview of WVU's AI statement and submissions from WVU faculty, classes, students, and staff on AI related projects.

Retraction: A Database Of Teleseismic Shear-Wave Splitting Measurements For The Ordos Block And Adjacent Areas(Seismological Research Letters (2022), 93, 5, (2731–2739), 10.1785/0220210310), Lin Liu, Stephen S. Gao, Kelly H. Liu, Tu Xue, Yan Jia, Sanzhong Li

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

An earlier version of this article (Liu et al., 2022) included private data from the Himalayan-III program which should not have been made public. The authors acknowledge and regret their negligence during the selection of the measurements. The impacted data represent only 2.7% of the total data published in this article, and after review, the authors and the editors agree that this unintentional error has no bearing on the work's scientific conclusions. Therefore, we are retracting the impacted data and have made corrections to remove any Himalayan-III program data from the article's text, figures, and supplemental tables.

Ultra-Low Dosages Of Novel Graphene Types Enhance The Rheological Properties And Buildability Of 3d Printed Binders, Sahil Surehali, Akshay Venkatachalam, Ranjith Divigalpitiya, Aditya Kumar, Narayanan Neithalath

Materials Science and Engineering Faculty Research & Creative Works

The use of graphene as a high-performance concrete additive is attractive; but, its cost and concerns about production scalability and dispersion efficiency in concrete are impediments to widespread use. This study explores the impact of ultra-low dosages (≤0.02 % by mass of binder) of two novel graphene types—fractal graphene (FG) and reactive graphene (RG)—produced through a cost-effective, environmentally friendly, and scalable process, on the rheological properties of 3D-printable concrete. Both FG and RG significantly enhance the dynamic and static yield stresses and viscoelastic properties of the binder, with RG-modified mixtures exhibiting slightly more pronounced enhancements due to the presence of …

Identification Of Authentic Gnss Signals In Time-Differenced Carrier-Phase Measurements With A Software-Defined Radio Receiver, Zhen Zhu, Sanjeev Gunawardena, Eric Vinande, Jason Pontious

Faculty Publications

The time-differenced carrier phase can be computed from measurements recorded by a multi-global navigation satellite system software-defined radio receiver such as PyChips, from which the user displacement and receiver clock drift can be solved. PyChips is able to simultaneously track authentic and inauthentic signals in separate channels, which makes it possible to observe both types of measurements with corresponding navigation data. A random sample consensus algorithm has been introduced to assess the consistency between the measurements and data. This algorithm successfully separated authentic channels from inauthentic channels when they are broadcast simultaneously.

Redundant Functions Of Mir156-Targeted Squamosa Promoter Binding Protein-Like Transcription Factors In Promoting Cauline Leaf Identity, Darren Manuela, Liren Du, Qi Zhang, Yifei Liao, Tieqiang Hu, Jim P. Fouracre, Mingli Xu

Faculty Publications

No abstract provided.

Graduate School Blog - July 2025 Volume 1, Cynthia Haynes

UofM Grad School Blog

The July 2025 UofM Graduate School Blog – Volume 1 continues the Cost of Graduate School Guide with a deep dive into hidden and variable expenses such as residency-based tuition differences, program-specific fees, and differential tuition. The blog provides practical tips for prospective students on how to ask the right financial questions when comparing programs. It also features a student spotlight on Billy Brooks, a dual MHA/MBA candidate motivated to transform healthcare access and equity. Upcoming events include a Virtual Fall 2025 Open House with Financial Aid and USBS, a Dissertation Writers Retreat, and both in-person and virtual Graduate Student …

Distributed Tracking Control Of Multiple High-Order Uncertain Nonlinear Systems With Guaranteed Performance, Eduardo Alvarez, Wenjie Dong

Electrical and Computer Engineering Faculty Publications

This paper addresses the distributed tracking control of multiple uncertain high-order nonlinear systems with prescribed performance requirements. By introducing a performance function and a nonlinear transformation, the prescribed fixed-time performance tracking control problem is reformulated as a distributed tracking control problem for multiple special nonlinear systems. With the aid of the universal approximation theorem for continuous functions and algebraic graph theory, distributed robust adaptive controllers are designed using the backstepping technique. Simulation results are presented to demonstrate the effectiveness of the proposed algorithms.

Mechanical Engineering Virtual Reality Lab, Alan Mcdonnell

Case studies: Digital Education

Students perform multiple engineering lab experiments within the Critical Utilities 1 module. The ‘Pump Laboratory’ experiment involves interaction with a fluid power training rig to record pressure and flow readings from a variety of system states. The recorded data from multiple pumping experiments is used to create pump and system characteristic curves and charts. This experiment is very appropriate to industrial practice and design. The typical cohort size is 10+ and the availability of only one training rig introduces a ‘pinch-point’ in the interaction capacity of the students; there is insufficient time for all students to perform all the separate …

Mobile Hyflex And Cfd, Fergal Boyle

Case studies: Digital Education

Computational Fluid Dynamics (CFD) is one of 12 taught modules on the Master of Engineering (ME) in Mechanical Engineering programme delivered on the Bolton St campus by the School of Mechanical Engineering. This programme is delivered as both a full-time programme (12 months) and a 2-3 year part-time programme with lectures held in the evenings only from 6-10 pm on Mondays, Tuesdays, and Wednesdays. CFD is delivered in Semester 2 on a Tuesday evening from 6-8 pm in Room 236, a hardwired HyFlex room, with another module delivered directly afterwards. The number of students taking the module is generally around …

Introducing Hyflex Teaching In Geotechnical Engineering, Juan Pablo Osorio

Case studies: Digital Education

Geotechnical Engineering 2 is a third-year technical module in the BE in Civil Engineering and the BE in Structural Engineering, and it covers the theoretical and practical aspects of the retaining wall stability, foundation design and compressibility of soils. The two classes are merged together for it. It uses lectures, laboratories and tutorials as teaching methods. The module has 36 hours of direct contact and 64 hours of self-directed learning. It is a semester 2 core module that follows Geotechnical Engineering 1. The mode of delivery for both modules is in-person lectures at the lecture hall, with three laboratory practices …

Using The Ms Surface Pro 9 To Enhance Teaching And Learning, Anthony Reynolds

Case studies: Digital Education

Thermodynamics is a fundamental subject for mechanical engineers, focusing on the principles of energy conversion and the behaviour of matter under various conditions.Thermodynamics is very challenging for students for several reasons: It involves abstract concepts like entropy, which can be difficult to visualize and understand. It requires a strong grasp of mathematics(e.g.,calculus),which can be intimidating for somestudents. It intersects with various fields(e. g.physics and chemistry) requiring students to integrate knowledge from different areas.

A Discrete-Time Adaptive Sliding Mode Controller For A Multicopter With A Suspended Payload, John Helzer

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

This thesis presents a Discrete-time Adaptive Sliding Mode Controller (DASMC) for control of a multicopter with a suspended payload. DASMC is designed to stabilize the multicopter at a desired position while minimizing the load oscillations induced by a significant hanging payload. The proposed DASMC minimizes the need for system-specific parameters like tunable gains and improves robustness to both external disturbances and model uncertainties compared with existing controllers. The controller is designed for direct digital implementation on a variety of multicopter platforms with considerations like discrete-time design, adaptive gain shrinking, and saturation handling. When deployed on a real multicopter in an …