Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (40821)
- Civil and Environmental Engineering (39653)
- Electrical and Computer Engineering (36732)
- Mechanical Engineering (29998)
- Computer Engineering (25611)
-
- Computer Sciences (17305)
- Materials Science and Engineering (16413)
- Chemical Engineering (14061)
- Operations Research, Systems Engineering and Industrial Engineering (13795)
- Civil Engineering (11778)
- Biomedical Engineering and Bioengineering (11434)
- Aerospace Engineering (11108)
- Education (8126)
- Social and Behavioral Sciences (7979)
- Environmental Sciences (6929)
- Life Sciences (6293)
- Arts and Humanities (6237)
- Environmental Engineering (6110)
- Transportation Engineering (5910)
- Electrical and Electronics (5692)
- Energy Systems (5619)
- Engineering Science and Materials (5459)
- Artificial Intelligence and Robotics (5388)
- Other Mechanical Engineering (5086)
- Medicine and Health Sciences (4723)
- Geotechnical Engineering (4581)
- Mining Engineering (4559)
- Construction Engineering and Management (4380)
- Business (4273)
- Institution
-
- Missouri University of Science and Technology (21777)
- University of Nebraska - Lincoln (11222)
- California Polytechnic State University, San Luis Obispo (7975)
- University of Kentucky (6342)
- Purdue University (6326)
-
- Air Force Institute of Technology (5697)
- Utah State University (5439)
- Brigham Young University (4850)
- Old Dominion University (4692)
- Technological University Dublin (4606)
- University of Central Florida (4566)
- New Jersey Institute of Technology (4264)
- China Simulation Federation (3880)
- Wright State University (3445)
- Chulalongkorn University (3392)
- Embry-Riddle Aeronautical University (3295)
- University of Texas at Arlington (3180)
- TÜBİTAK (3106)
- Engineering Conferences International (2957)
- University of Arkansas, Fayetteville (2828)
- Louisiana State University (2820)
- Portland State University (2757)
- Michigan Technological University (2631)
- Clemson University (2512)
- University of South Carolina (2359)
- University of Texas at El Paso (2141)
- Marquette University (2083)
- Chinese Chemical Society | Xiamen University (2026)
- Washington University in St. Louis (1825)
- China Coal Technology and Engineering Group (CCTEG) (1799)
- Keyword
-
- Engineering (2858)
- Machine learning (1431)
- Optimization (1215)
- Simulation (1169)
- Applied sciences (1099)
-
- Construction (895)
- Design (873)
- Sustainability (860)
- Machine Learning (828)
- Deep learning (807)
- Modeling (742)
- Additive manufacturing (577)
- Concrete (544)
- Safety (532)
- Computer Science (525)
- Architecture (524)
- Artificial intelligence (501)
- Building (498)
- Nanoparticles (477)
- Robotics (475)
- Education (463)
- CFD (448)
- UAV (442)
- Corrosion (440)
- Energy (440)
- Engineering education (424)
- Conference (411)
- ASME (401)
- Proceedings (401)
- Mechanical Engineering (389)
- Publication Year
-
- 2026 (5155)
- 2025 (8577)
- 2024 (9148)
- 2023 (9707)
- 2022 (9306)
-
- 2021 (9963)
- 2020 (10629)
- 2019 (10492)
- 2018 (8945)
- 2017 (8344)
- 2016 (9590)
- 2015 (7510)
- 2014 (7238)
- 2013 (7289)
- 2012 (6302)
- 2011 (5801)
- 2010 (5369)
- 2009 (4157)
- 2008 (4190)
- 2007 (3831)
- 2006 (3391)
- 2005 (3074)
- 2004 (2785)
- 2003 (2071)
- 2002 (1792)
- 2001 (1795)
- 1999 (1307)
- 1998 (1354)
- 1993 (1343)
- 1991 (1363)
- Publication
-
- Theses and Dissertations (11490)
- Electronic Theses and Dissertations (4180)
- Masters Theses (3914)
- Journal of System Simulation (3880)
- Electrical and Computer Engineering Faculty Research & Creative Works (3518)
-
- Theses (3460)
- Nebraska Tractor Tests (3397)
- Faculty Publications (3293)
- Turkish Journal of Electrical Engineering and Computer Sciences (3106)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (2554)
- International Conference on Case Histories in Geotechnical Engineering (2055)
- Master's Theses (2027)
- Journal of Electrochemistry (2026)
- Dissertations (1866)
- Kentucky Transportation Center Research Report (1816)
- Doctoral Dissertations (1800)
- Coal Geology & Exploration (1799)
- International Conferences on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics (1566)
- USF Tampa Graduate Theses and Dissertations (1463)
- Articles (1409)
- Browse all Theses and Dissertations (1369)
- Computer Science & Engineering Syllabi (1312)
- LSU Master's Theses (1307)
- Journal of Marine Science and Technology–Taiwan (1299)
- Open Access Theses & Dissertations (1295)
- Mechanical and Aerospace Engineering Faculty Research & Creative Works (1287)
- Civil, Architectural and Environmental Engineering Faculty Research & Creative Works (1266)
- Publications (1245)
- All Theses (1237)
- Graduate Theses and Dissertations (1219)
- Publication Type
Articles 11881 - 11910 of 195996
Full-Text Articles in Engineering
Load Analysis And Material Optimization For An Underwater Autonomy Sensorized Task Platform, Andrew Vo
Load Analysis And Material Optimization For An Underwater Autonomy Sensorized Task Platform, Andrew Vo
Engineering Theses
With developing technology, options for fabrication and material selection broaden. An example is 3D printable photopolymer resin used to create parts serving several applications. An application of this photopolymer resin is the ONR research project for the creation of the sensorized task platform for a robot to use underwater. The resin in this project was used to fabricate custom-made connecting brackets. These fabricated parts were hastily designed with no detailed analysis on stress distributions or material consumption. Using SolidWorks simulation analysis and Instron machines for experimentation, the goal of this project was to modify the original part with a reduced …
Improving The Operator-Swarm Dynamic Under Mental Fatigue Constraints In Search And Rescue Operations, Jordan Morrow
Improving The Operator-Swarm Dynamic Under Mental Fatigue Constraints In Search And Rescue Operations, Jordan Morrow
Masters Theses
"Human-robot applications that allow for work to be done remotely are largely dependent on the lassitude of the operators. The exhaustion of these operators is a result of work completion and duration. Previous research attempts to evaluate the impact on reaction by quantiying human weariness. This paper examines how human weariness affects the human-robot dynamic in UAV-assisted search and rescue missions. An explanation of the connection between mental exhaustion and operator responsiveness over prolonged durations is provided by the search and rescue operations using UAV swarms (SAROUS) model. Through the use of artificial intelligence, SAROUS is modernized. This allows the …
Computation Of Natural Relative Trajectories In The Elliptic Restricted Three-Body Problem, Dane Huck
Computation Of Natural Relative Trajectories In The Elliptic Restricted Three-Body Problem, Dane Huck
Masters Theses
"Humankind’s presence in deep space is certain to increase throughout future decades. Future missions will continue to exploit the complex dynamics making use of liberation point orbits. Along with this trend is the rise of small satellites ("small sats") and fractionated spacecraft in general. Compared to traditional monolithic spacecraft, small sats can often have higher maneuverability, be a fraction of the cost, and be more expendable in nature. The growing interest in these two areas drives the need for improvements in the area of relative motion in deep space. One obvious use of small sats in deep space is for …
Advanced 3d Lidar-Based Systems For Urban Traffic And Pedestrian Monitoring: Integrating Elevated Lidar, Data Collection, And Deep Learning For Precise Detection And Activity Classification, Nawfal Guefrachi
Masters Theses
"Accurate and real-time monitoring of urban traffic and pedestrian activities is crucial for intelligent transportation systems (ITS) and smart cities. Traditional camera-based methods struggle with issues like lighting and privacy. This research leverages advanced three-dimension light detection and ranging (3D LiDAR) technology and computational frameworks to address these challenges, providing transformative solutions for urban traffic management and pedestrian safety. By strategically deploying elevated LiDAR sensors, detailed 3D point cloud data is captured, enabling precise monitoring of urban environments. Enhancements to LiDAR-based frameworks, such as fine-tuning the Point Voxel Region-Based Convolutional Neural Network (PV-RCNN), improve the detection of vehicles and pedestrians …
Bond Behavior Of Magnesium Potassium Phosphate Cement (Mkpc) Coating For Steel Reinforcement, Eric Williams
Bond Behavior Of Magnesium Potassium Phosphate Cement (Mkpc) Coating For Steel Reinforcement, Eric Williams
Masters Theses
"This research investigates the bond behavior of magnesium potassium phosphate cement (MKPC) coated mild steel deformed bars in conventional concrete and concrete repair materials. For typical steel reinforcement in concrete, a thin “passive layer” develops around the reinforcement, which protects the reinforcement from corrosion. The concrete carbonates over time, reducing the protection of the passive layer and allowing chlorides, which corrode the reinforcement, to penetrate at an increasing rate. In some cases, to combat this corrosion, a protective layer is added to the reinforcement prior to installation. Common protective layers include epoxy coatings or zinc galvanization. MKPC is a novel …
Lidar From The Skies: A Uav-Based Approach For Efficient Object Detection And Tracking, Baya Cherif
Lidar From The Skies: A Uav-Based Approach For Efficient Object Detection And Tracking, Baya Cherif
Masters Theses
"Recently, there has been a growing interest in deploying the Light Detection and Ranging (LiDAR) technology to gain traction in the autonomous vehicle industry, its applications are expanding into areas like smart cities, agriculture, and renewable energy. This work proposes an advanced approach to enhance aerial traffic monitoring using Li- DAR. We aim to provide accurate, real-time object detection and tracking from an aerial perspective by integrating Unmanned Aerial Vehicle (UAV) with LiDAR, culminating in a smart UAV-integrated LiDAR (A-LiD) sensor for traffic surveillance. We introduce an adapted version of one of the newest methods of the cutting-edge 3D object …
Fetal Acidosis Prediction Using Attention Enhanced Convolutional Neural Networks, Anusha Adhikari
Fetal Acidosis Prediction Using Attention Enhanced Convolutional Neural Networks, Anusha Adhikari
Masters Theses
This study explores the integration of spectral mixtures of fetal heart rate (FHR) and uterine contraction (UC) signals to enhance the prediction of fetal acidosis, utilizing the CTU-CHB dataset. Several classification models were trained using two distinct oversampling techniques and inputs, demonstrating that models incorporating spectral mixtures significantly outperform those using raw signals. These models, particularly when combined with convolutional neural networks (CNNs) and attention mechanisms, achieved a notable F1-score of 0.98, with the highest model achieving an area under the Receiver Operating Characteristic (ROC) curve of 0.95. The research employs a variety of techniques including short-time Fourier transform and …
Modeling Of Slot-Backed Microstrip Line For Emi Applications, Jongsuk Hyun
Modeling Of Slot-Backed Microstrip Line For Emi Applications, Jongsuk Hyun
Masters Theses
Radiated emissions from printed circuit boards (PCBs) are a significant concern in electromagnetic interference (EMI) and radio frequency interference (RFI). Shielding cans are widely used to mitigate these emissions but evaluating requires accurate characterization of equivalent noise sources. Slot-backed microstrip antennas are employed for this purpose due to their near-zero height, low parasitic radiation, and PCB-compatible structure, offering a practical alternative to conventional loop antennas. This paper presents a physics-based analytical model that integrates both the discontinuity effects and radiated characteristics of slot-backed microstrip structures within a unified circuit framework. An analytical expression for the dipole moment is proposed based …
Long Short-Term Memory (Lstm) -Based Neural Network Model For Optimizing Composite Manufacturing Process Using Autoclave, Sourav P. Bolar
Long Short-Term Memory (Lstm) -Based Neural Network Model For Optimizing Composite Manufacturing Process Using Autoclave, Sourav P. Bolar
Masters Theses
The combination of high pressure and controlled heat plays a critical role in ensuring the uniform curing of composite materials, leading to parts with superior mechanical properties. In this study, three composite samples of IM7/CYCOM 5320-1, each cut into 12x12-inch squares, were placed in an autoclave at three different locations, spaced 6 inches apart. Sixteen thermocouples were randomly distributed across the setup to monitor the curing process as the autoclave temperature was systematically ramped up and down while maintaining constant pressure, creating a fully controlled curing environment. The primary objective was to optimize the curing locations to reduce machine runtime …
Characterization Of The Microstructural Changes Of Zrb2 Under Heavy Ion Irradiation For Molten Salt Reactor Applications, Narrie Loftus
Characterization Of The Microstructural Changes Of Zrb2 Under Heavy Ion Irradiation For Molten Salt Reactor Applications, Narrie Loftus
Masters Theses
A primary challenge in finding suitable materials for Molten Salt Reactors (MSRs) lies in identifying those that concurrently exhibit high corrosion resistance, stability at elevated temperatures, resistance to radiation, and chemical compatibility with molten salts. 11B-enriched zirconium diboride (ZrB2) is a potential candidate for applications in MSRs due to its unique combination of properties, including high melting point, high thermal conductivity, and resistance to corrosion in harsh environments. This ultra-high temperature ceramic (UHTC) has exhibited stability under extreme conditions, making it an attractive material for components within MSRs.
The microstructural response of ZrB2 under heavy ion irradiation …
On Optimizing Sensor Data Collection, Processing, And Storage For Industrial Additive Manufacturing, Steven Thompson
On Optimizing Sensor Data Collection, Processing, And Storage For Industrial Additive Manufacturing, Steven Thompson
Masters Theses
The widespread adoption of digital data management methods for transformative technologies, such as additive manufacturing (AM), within the aerospace industry is impeded by poor interoperability between AM component manufacturing processes. Moreover, data quality may be compromised due to sensor failures or other corruptions. Additionally, massive amounts of data are collected during these processes, often needing to remain accessible for decades. These storage costs can place a significant financial burden on smaller suppliers. This work aims to make digital data management methods more affordable and, therefore, approachable for smaller suppliers.
First, the design and initial implementation of an affordable and adaptable …
Emi Mitigation, Material Characterization, Transformer Equivalent Circuit Modeling, Reza Vahdani
Emi Mitigation, Material Characterization, Transformer Equivalent Circuit Modeling, Reza Vahdani
Masters Theses
Modern high-frequency electronic systems demand precise characterization and modeling techniques to ensure signal integrity and electromagnetic compatibility. This thesis presents three core studies focused on real-world challenges in high-speed and power electronics: EMI mitigation using 3D printed absorbers, wideband liquid dielectric characterization, and accurate transformer modeling.
The first study demonstrates a targeted approach to mitigating electromagnetic interference (EMI) in a commercial router. By using holography imaging to identify radiation hotspots, custom absorber structures were designed with commercially available materials, fabricated via 3D printing, and applied directly to emission sources. Radiated emission tests in a reverberation chamber showed up to 9 …
Investigation Of Arm Stiffness Modulation During Overground Physical Human-Human Interaction, Henry Tien
Investigation Of Arm Stiffness Modulation During Overground Physical Human-Human Interaction, Henry Tien
Masters Theses
The vision of advancing robots capable of direct physical engagement with humans begins with an understanding of how humans interact with each other. Even rudimentary interactive tasks, such as shaking hands, provides tremendous challenges for modern robotics and current research into the biomechanics of such interactions is limited. Thus, further analysis of physical Human-Human Interaction (pHHI) will bolster efforts to enhance collaborative robot capabilities. To this end, a custom Force Perturbation Handle (FPH) was developed, including the requisite mechanical, electrical, and software systems, to investigate the unique role of arm stiffness modulation in haptic communication between humans. The novel device …
System Design For Highly Accurate And Efficient Target Detection In Triaxial Testing, Qingqing Fu
System Design For Highly Accurate And Efficient Target Detection In Triaxial Testing, Qingqing Fu
Masters Theses
Accurate and automated recognition of coded targets is crucial for high-precision photogrammetry-based measurements in triaxial testing. Traditional recognition methods, including those based on deep learning and table decoding, often struggle with issues such as perspective distortion, rotation, and variable lighting, leading to unreliable results. While deep learning approaches offer some improvements, they remain computationally intensive and sensitive to environmental factors.
This thesis introduces an innovative system that replaces deep learning algorithms with a blob analysis-based method for efficient and robust recognition of coded targets. The system also employs newly designed solid points of varying sizes and patterns, eliminating the need …
Development Of A Method To Measure Blast Overpressure Exposure Using Orthogonal Sensor Orientations, Nicholas Kuehl
Development Of A Method To Measure Blast Overpressure Exposure Using Orthogonal Sensor Orientations, Nicholas Kuehl
Masters Theses
Measuring and recording blast exposure to military personnel from shoulder-fired weaponry or improvised explosive devices to correlate health outcomes like mild traumatic brain injury has been a goal for many years. As such, many wearable sensors have been developed and tested for accuracy and reliability. Despite this, knowing the sensor orientation in relation to the blast source is important to fully correlate the actual personnel exposure to clinical outcomes. This research investigates whether pressures recorded at three independent orientations in the x, y and z planes can be combined to a representative pressure that is independent of orientation. Important metrics …
Power Flow Control Of The Triple Active Bridge Converter, Lauryn Reece Morris
Power Flow Control Of The Triple Active Bridge Converter, Lauryn Reece Morris
Masters Theses
With the rise of renewable energies, electric vehicles, and microgrids, the development of power electronic topologies that can seamlessly integrate these systems into the grid is crucial. The triple active bridge is an extension of the dual active bridge topology and is capable of energy storage or renewable energy integration into a power electronic converter and thus the power grid. Consisting of three H-Bridge converters, the triple active bridge topology is an expanding area of research to meet these growing demands. With the addition of the third bridge, the system has additional nonlinear characteristics which introduce complexity in solving for …
Ground Testing Of Cryogenic Environments In Vacuum Conditions, Lucas A. Scott
Ground Testing Of Cryogenic Environments In Vacuum Conditions, Lucas A. Scott
Masters Theses
The environment in the vacuum of space is unforgiving and ever-changing. Not only facing the lack of a protective atmosphere, but powerful radiation and extreme temperature ranges as well. Equipment destined for space must be hardened to withstand them. Just launching satellites that are theoretically able to survive these conditions is unfeasibly costly in the event of failure. Because of this, spacecraft must be tested in a simulated environment that can match the harsh climate in space. Therefore, it is the goal of the Gas and Plasma Dynamics Lab's (GPDL) to test and prove specific methods of recreating these conditions. …
Overpressure Waveform Comparison Of High Explosive, Methane, And Coal Dust Explosions, Frank James Schott
Overpressure Waveform Comparison Of High Explosive, Methane, And Coal Dust Explosions, Frank James Schott
Masters Theses
Methane and coal dust explosions remain a leading cause of catastrophic mining accidents, making it critical to understand their overpressure characteristics for better hazard modeling, mitigation, and regulation. Although high explosives (HE), flammable gases, and dusts have been studied separately, direct waveform comparisons in identical environments are rare. This study addresses that gap by comparing overpressure waveforms from HE, methane-air mixtures, and coal dust explosions to assess differences in peak pressure, impulse, rise time, and phase duration. Twenty-seven tests were conducted using standardized instrumentation and sensor arrays. Results showed that HE generated the highest peak pressures with short positive phases …
Auto-Tuning And Applications Of Transient Voltage Suppressor Models In Full-Wave Simulations, Daniel Peter Szanto
Auto-Tuning And Applications Of Transient Voltage Suppressor Models In Full-Wave Simulations, Daniel Peter Szanto
Masters Theses
System efficient electrostatic design (SEED) combines full-wave geometry information with SPICE models of non-linear protection devices, typically transient voltage suppression (TVS) diodes, to allow optimization and validation of electrostatic design (ESD) protection early in the design process. TVS models have previously been developed which may be used in SPICE simulation tools like Keysight ADS, but these models could not be used directly in full-wave simulation tools like CST Studio. A process was developed for converting existing ADS models of TVS devices to a form that can be used within a CST full wave/SPICE hybrid simulation. Three TVS models were converted …
Frequency-Tracker And Power Supply For Piezoelectric Lunar Dust Removal Actuator, Praneeth Uddarraju
Frequency-Tracker And Power Supply For Piezoelectric Lunar Dust Removal Actuator, Praneeth Uddarraju
Masters Theses
"This work presents a reconfigurable phase-locked loop (PLL)-based control system for the resonant excitation of piezoelectric actuators aimed at automated removal of particulate contaminants from photovoltaic (PV) surfaces—particularly in extraterrestrial environments such as the lunar surface. Regolith or lunar dust buildup on solar panels is a serious hazard to the effectiveness of energy harvesting on extended missions. By using high-frequency structural excitation and inertial forces the suggested system removes surface impurities. Tunable Sallen-Key low-pass filters for reliable feedback conditioning are used in conjunction with a digitally implemented PLL on an FPGA (XLR8 platform) to precisely lock the drive frequency to …
An Experimental Study Into The Methods Of Water Coupling And Their Impact On Kinetic Energy And Blast Over Pressure Through The Use Of A Ballistic Pendulum, Jeremiah Alan Cohn
An Experimental Study Into The Methods Of Water Coupling And Their Impact On Kinetic Energy And Blast Over Pressure Through The Use Of A Ballistic Pendulum, Jeremiah Alan Cohn
Masters Theses
Water coupled charges utilize the material properties of water to alter their behavior for reductions in overpressure and increases in kinetic energy. Although water coupling has been studied directly, combined usage of the two primary methods of water coupling, tamping and pushing, hinders further research. This study addresses the gap in literature by comparing ballistic pendulum and blast data for charges with water tamping and pushing to determine differences in kinetic energy, peak overpressure, impulse, noise and duration of fireball. The results showed that water tamping provided a 69.1% increase in kinetic energy, an 18.6% reduction in incident overpressure, a …
Selective Surface Activation And Flotation Of Pyrite For The Recovery Of Tellurium From Sulfide Tailings, Mulenga Mutema Chibesa
Selective Surface Activation And Flotation Of Pyrite For The Recovery Of Tellurium From Sulfide Tailings, Mulenga Mutema Chibesa
Masters Theses
Copper sulfide tailings from past and present mining operations are important secondary sources of critical elements such as tellurium (Te), a key component in cadmium–telluride photovoltaic solar cells. Characterization of tailing streams from copper porphyry (CP) ore flotation revealed that Te-bearing minerals are predominantly hosted in pyrite, which is usually depressed and discarded. Enhancing pyrite recovery is therefore a critical first step toward concentrating Te minerals for downstream extraction. However, pyrite flotation is often hindered by hydrophilic surface complexes formed during prior processing. This research investigated selective flotation of Te-bearing pyrite from CP tailings using micro flotation and bench-scale flotation, …
Aerodynamic Design Workflow Optimization For Fsae: Advanced Cfd And Hpc Automation, Kyle Maynor
Aerodynamic Design Workflow Optimization For Fsae: Advanced Cfd And Hpc Automation, Kyle Maynor
Masters Theses
This research identifies and resolves inefficiencies in the Computational Fluid Dynamics (CFD) workflow of the Missouri S&T Racing Formula SAE Team’s aerodynamic development. Key bottlenecks were found in simulation runtime, laborious simulation preparation, an overly manual simulation submission process, and unchecked mesh quality. A fully reimagined workflow was implemented with simulation parameters to adjust vehicle attitudes. From this, an automated design sweep could be executed to generate aero maps of the developing vehicle using the Design Manager Project. A Python-based submission app handles the terminal interfacing and macro editing that significantly slowed the job submission process before. Using a university …
Design Of A Spacecraft Power System Experiment, Jay Bakulkumar Kamdar
Design Of A Spacecraft Power System Experiment, Jay Bakulkumar Kamdar
Masters Theses
This research delves into the design, implementation, and analysis of a controlled experimental framework for photovoltaic cell characterization and its application in spacecraft power systems. Such a system was simulated and validated by benchmarking characteristics of a photovoltaic module and implementing them in a system design simulation yielding performance data for comparative analysis. A hardware setup was developed to perform IV characterization tests under steady state thermal conditions. Experiments conducted across various thermal regulation profiles helped quantify the effects of temperature on the photovoltaic performance parameters. Active cooling reduced the steady state cell temperature by 17.9% and improved the cell …
Enabling Drone-Integrated Active Microwave Thermography Via A Slot Antenna Design, Alec P. Fitzmaurice
Enabling Drone-Integrated Active Microwave Thermography Via A Slot Antenna Design, Alec P. Fitzmaurice
Masters Theses
Civil infrastructure inspection quality and inspector safety may be enhanced from the advancement in the capabilities of nondestructive testing and evaluation of remote or otherwise hard-to-reach areas such as nuclear power plants, wind turbines, bridges, or other civil infrastructure using drone-based Active Microwave Thermography (AMT). AMT is a nondestructive testing technique that utilizes high frequency energy (often radiated from an antenna) to induce heating in a specimen. Following this thermal excitation, an infrared camera is used to measure the resulting surface thermal profile. From this, defect indications may be detected. To enable drone-based deployment of AMT, where the antenna size …
Application Of Artificial Intelligence Techniques To Improve Leadership Decision Making With Uncertainty, Michael David Parrish
Application Of Artificial Intelligence Techniques To Improve Leadership Decision Making With Uncertainty, Michael David Parrish
Doctoral Dissertations
"Every good leader is a good manager, but not every good manager is a good leader. The difference between the leader and the manager is critical decision-making. Today’s decision-making environment is characterized as Volatile, Uncertain, Complex, and Ambiguous (VUCA). With the exponential increase in the technical capabilities of systems, the human has become the weakest link in the use of such systems. To remain relevant, good leaders must continuously adapt to new advances in technology and processes.
The research contributions of this work provide several unique and novel solutions for leaders to utilize artificial intelligence tools to improve and optimize …
Implications Of Nutrient Fate And Transport Following Nanopesticide Applications In Agricultural Field Plots In Central Kentucky, William Rud, Manuel D. Montaño, Daniel M. Miller, Wayne T. Sanderson, Carmen Agouridis, Brianna F. Benner, Tiffany L. Messer
Implications Of Nutrient Fate And Transport Following Nanopesticide Applications In Agricultural Field Plots In Central Kentucky, William Rud, Manuel D. Montaño, Daniel M. Miller, Wayne T. Sanderson, Carmen Agouridis, Brianna F. Benner, Tiffany L. Messer
Biosystems and Agricultural Engineering Faculty Publications
The potential benefits of nanopesticide use over standard pesticides include more precise application at reduced application rates, lower premature degradation, and decreased direct impacts to target organisms. However, field scale investigations of the fate and transport of common nanopesticides such as copper (II) hydroxide and imidacloprid combinations, remain limited. A field study evaluating nano-scale copper (II) hydroxide (Cu), standard imidacloprid (I), nanoimidicloprid (NI), and nano-scale copper (II) hydroxide and imidacloprid (CuNI) compared to control (C) plots was conducted using thirty 14.6 m2 field plots to determine the impacts of nanopesticide applications on nutrient cycling and quantify the persistence of …
Neuroinflammatory Signaling And Immune Cell Infiltration Differ In Brains Of Rats Exposed To Space Radiation And Social Isolation, Austin M. Adkins, Zachary N. M. Luyo, Alea F. Boden, Riley S. Heerbrandt, Richard A. Britten, Laurie L. Wellman, Larry D. Sanford
Neuroinflammatory Signaling And Immune Cell Infiltration Differ In Brains Of Rats Exposed To Space Radiation And Social Isolation, Austin M. Adkins, Zachary N. M. Luyo, Alea F. Boden, Riley S. Heerbrandt, Richard A. Britten, Laurie L. Wellman, Larry D. Sanford
Center for Integrative Neuroscience and Inflammatory Diseases (CINID) Faculty Publications
Astronauts on the proposed Mars missions will be exposed to extended periods of social isolation (SI) and space radiation (SR). SI and SR-induced immune dysregulation can result in persistent neuroinflammation and neuronal damage which could negatively impact an astronaut’s health and ability to maintain adequate levels of performance. The synergistic effects of combined SI and SR on immune system functionality and the brain remain unknown. Determining how single and combined inflight stressors modulate the immune system is crucial for fully understanding pathways impacting astronaut health and performance. We used ground-based analogs of SI and SR in rodent models to investigate …
Process-Structure-Property Relationships In Laser Powder Bed Fusion Produced 17-4 Ph Steel, Ben Brown
Process-Structure-Property Relationships In Laser Powder Bed Fusion Produced 17-4 Ph Steel, Ben Brown
Doctoral Dissertations
Laser powder bed fusion (LPBF) is a metal additive manufacturing method that produces non-traditional microstructures as a result of the rapid solidification and thermal cycling inherent to the process. When using LPBF-produced material in application, these unique microstructures challenge the applicability of well-developed mechanical property databases achieved by conventional heat treatments. For wider adoption of this technology, a more holistic understanding is necessary on how process attributes develop material structure, which dictate mechanical properties. This dissertation explores the process structure-property relationships in LPBF 17-4 PH steel through systematic evaluation of atmospheric processing and heat treatment effects on microstructure and mechanical …
Phase-Field Modeling Of Rapid Solidification Processes, Nima Najafizadeh
Phase-Field Modeling Of Rapid Solidification Processes, Nima Najafizadeh
Doctoral Dissertations
"Many advanced manufacturing processes such as additive manufacturing utilize rapid solidification of alloys, as it enables the formation of exotic non-equilibrium microstructure and thus improved properties. However, the interrelationship between the processing parameters and the resulting microstructure in rapid solidification is yet to be fully understood. We aim to investigate the microstructure evolutions during the rapid solidifications using phase-field modeling. The phase-field method assumes a diffuse interface, which avoids tracking the moving interface and hence enables efficient numerical simulations for complex microstructure evolution. A phase-field model with coupled solute-thermal diffusion and solute trapping effect is developed to investigate the rapid …