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Articles 6001 - 6030 of 10504
Full-Text Articles in Engineering
A Comprehensive Techno-Economic Framework For Shale Gas Exploitation And Distribution In The United States, Jorge Asis Charbel Chebeir
A Comprehensive Techno-Economic Framework For Shale Gas Exploitation And Distribution In The United States, Jorge Asis Charbel Chebeir
LSU Doctoral Dissertations
Over the past years, shale gas has turned into one of the most significant sources of energy in the United States. Technological advancements have provided the energy industry with the necessary tools to allow the economic exploitation of an enormous volume of natural gas trapped in shale formations. This has boosted the domestic gas production and generated a boom in other sectors of the economy in the country. However, major challenges are involved in the development of shale gas resources. A drastic decline of wells’ productivity, the costs involved in the gas production and distribution facets, and the volatile behavior …
Steering System For Sae Baja, Dallin Colgrove
Steering System For Sae Baja, Dallin Colgrove
Undergraduate Honors Theses
This thesis is to study the different types of steering geometry for the BYU Baja vehicle. The main steering geometries of study are Ackermann and parallel steering geometries. Ackermann steering geometry is ideal for low speed turns. During low speed turns Ackermann steering performs better than parallel steering due to a smaller radius of turn. Parallel steering ideally is better for high speed turns, because with parallel steering the slip angle is smaller than that of Ackermann geometry. A recommendation is made to the BYU Baja team to use Ackermann steering, but still do some more analysis of parallel steering …
Graph Formalisms And Technologies To Support To Systems Engineering Modeling And Analysis, Mil'yonta Williams
Graph Formalisms And Technologies To Support To Systems Engineering Modeling And Analysis, Mil'yonta Williams
Research Horizons Day Posters
No abstract provided.
Effect Of Low Temperature Heat Treatments On The Resulting Void Analysis Of Blown Power Deposition Inconel 625 Specimens, Noah Naden, An Nguyen
Effect Of Low Temperature Heat Treatments On The Resulting Void Analysis Of Blown Power Deposition Inconel 625 Specimens, Noah Naden, An Nguyen
Research Horizons Day Posters
No abstract provided.
Nuclear Thermal Propulsion Reactor Shutdown And Residual Heating, Samantha B. Rawlins
Nuclear Thermal Propulsion Reactor Shutdown And Residual Heating, Samantha B. Rawlins
Research Horizons Day Posters
No abstract provided.
Effects Of Additives On Sol Gel Synthesis Of Lithium Ion Battery Cathode Material, Gabrielle Andrew
Effects Of Additives On Sol Gel Synthesis Of Lithium Ion Battery Cathode Material, Gabrielle Andrew
Research Horizons Day Posters
No abstract provided.
A 3d Finite Difference Thermal Model Tailored For Additive Manufacturing, Tom Stockman, Judith A. Schneider, Bryant Walker, John S. Carpenter
A 3d Finite Difference Thermal Model Tailored For Additive Manufacturing, Tom Stockman, Judith A. Schneider, Bryant Walker, John S. Carpenter
PRC-Affiliated Research
Physics-based modeling of metal additive manufacturing (AM) processes is computationally challenging due to the very fine meshing required in both time and space. State-of-the-art numerical models that offer great insight into the process have been developed, but they require powerful computational resources and weeks of processing time. Thus, it is often more time-effective to fabricate multiple builds within the time it takes to complete one simulation prediction, further reinforcing the current trial-and-error approach to optimizing the build parameters. This study presents a simplified approach to the transient thermal modeling of the AM process. The numerical model is designed to run …
A 3d Finite Difference Thermal Model Tailored For Additive Manufacturing, Tom Stockman, Judith A. Schneider, Bryant Walker, John S. Carpenter
A 3d Finite Difference Thermal Model Tailored For Additive Manufacturing, Tom Stockman, Judith A. Schneider, Bryant Walker, John S. Carpenter
PRC-Affiliated Research
Physics-based modeling of metal additive manufacturing (AM) processes is computationally challenging due to the very fine meshing required in both time and space. State-of-the-art numerical models that offer great insight into the process have been developed, but they require powerful computational resources and weeks of processing time. Thus, it is often more time-effective to fabricate multiple builds within the time it takes to complete one simulation prediction, further reinforcing the current trial-and-error approach to optimizing the build parameters. This study presents a simplified approach to the transient thermal modeling of the AM process. The numerical model is designed to run …
Wearable Sensor Network Of Inertial Measurement Units To Track, Classify, And Assess Performance Of Complex Body Motions, Richard Tuggle
Wearable Sensor Network Of Inertial Measurement Units To Track, Classify, And Assess Performance Of Complex Body Motions, Richard Tuggle
Research Horizons Day Posters
No abstract provided.
Stochastic Methods To Find Maximum Likelihood For Spam E-Mail Classification, Seyed M. -H. Mansourbeigi
Stochastic Methods To Find Maximum Likelihood For Spam E-Mail Classification, Seyed M. -H. Mansourbeigi
Computer Science Student Research
The increasing volume of unsolicited bulk e-mails leads to the need for reliable stochastic spam detection methods for the classification of the received sequence of e-mails. When a sequence of emails is received by a recipient during a time period, the spam filters have already classified them as spam or not spam. Due to the dynamic nature of the spam, there might be emails marked as not spam but are actually real spams and vice versa. For the sake of security, it is important to be able to detect real spam emails. This paper utilizes stochastic methods to refine the …
A 3d Finite Difference Thermal Model Tailored For Additive Manufacturing, Tom Stockman, Judith A. Schneider, Bryant Walker, John S. Carpenter
A 3d Finite Difference Thermal Model Tailored For Additive Manufacturing, Tom Stockman, Judith A. Schneider, Bryant Walker, John S. Carpenter
PRC-Affiliated Research
Physics-based modeling of metal additive manufacturing (AM) processes is computationally challenging due to the very fine meshing required in both time and space. State-of-the-art numerical models that offer great insight into the process have been developed, but they require powerful computational resources and weeks of processing time. Thus, it is often more time-effective to fabricate multiple builds within the time it takes to complete one simulation prediction, further reinforcing the current trial-and-error approach to optimizing the build parameters. This study presents a simplified approach to the transient thermal modeling of the AM process. The numerical model is designed to run …
Affordability Through The Eyes Of Industry Towards A Better Understanding Of The Rocket Economy, Christopher J. White
Affordability Through The Eyes Of Industry Towards A Better Understanding Of The Rocket Economy, Christopher J. White
Research Horizons Day Posters
No abstract provided.
Investigation Of Methylammonium Lead Halide Perovskite Solar Cells, Natalie Mann
Investigation Of Methylammonium Lead Halide Perovskite Solar Cells, Natalie Mann
Research Horizons Day Posters
No abstract provided.
Development Of A Magnetic Nozzle Model For Puff, Nathan Schilling
Development Of A Magnetic Nozzle Model For Puff, Nathan Schilling
Research Horizons Day Posters
No abstract provided.
Multinomial Logit Analysis Of Injury Severity In Crashes Involving Emotional Drivers, Kristen Hubbert
Multinomial Logit Analysis Of Injury Severity In Crashes Involving Emotional Drivers, Kristen Hubbert
Research Horizons Day Posters
No abstract provided.
Rotor Wing Interaction Of The Low Reynolds Numbers, Darnisha Crane, Mingtai Chen
Rotor Wing Interaction Of The Low Reynolds Numbers, Darnisha Crane, Mingtai Chen
Research Horizons Day Posters
No abstract provided.
High-Performing Pgm-Free Aemfc Cathodes From Carbon-Supported Cobalt Ferrite Nanoparticles, Xiong Peng, Varchaswal Kashyap, Benjamin Ng, Sreekumar Kurungot, Lianqin Wang, John R. Varcoe, Mustain E William
High-Performing Pgm-Free Aemfc Cathodes From Carbon-Supported Cobalt Ferrite Nanoparticles, Xiong Peng, Varchaswal Kashyap, Benjamin Ng, Sreekumar Kurungot, Lianqin Wang, John R. Varcoe, Mustain E William
Faculty Publications
Efficient and durable non-precious metal electrocatalysts for the oxygen reduction reaction (ORR) are highly desirable for several electrochemical devices, including anion exchange membrane fuel cells (AEMFCs). Here, cobalt ferrite (CF) nanoparticles supported on Vulcan XC-72 carbon (CF-VC) were created through a facile, scalable solvothermal method. The nano-sized CF particles were spherical with a narrow particle size distribution. The CF-VC catalyst showed good ORR activity, possessing a half-wave potential of 0.71 V. Although the intrinsic activity of the CF-VC catalyst was not as high as some other platinum group metal (PGM)-free catalysts in the literature, where this catalyst really shined was …
Efficient Methods For Robust Circuit Design And Performance Optimization For Carbon Nanotube Field Effect Transistors, Muhammad Ali
Efficient Methods For Robust Circuit Design And Performance Optimization For Carbon Nanotube Field Effect Transistors, Muhammad Ali
Dissertations and Theses
Carbon nanotube field-effect transistors (CNFETs) are considered to be promising candidate beyond the conventional CMOSFET due to their higher current drive capability, ballistic transport, lesser power delay product and higher thermal stability. CNFETs show great potential to build digital systems on advanced technology nodes with big benefits in terms of power, performance and area (PPA). Hence, there is a great need to develop proven models and CAD tools for performance evaluation of CNFET-based circuits. CNFETs specific parameters, such as number of tubes, pitch (spacing between the tubes) and diameter of CNTs determine current driving capability, speed, power consumption and area …
Removal And Recovery Of Nutrients From Wastewater In Urban And Rural Contexts, Kevin Daniel Orner
Removal And Recovery Of Nutrients From Wastewater In Urban And Rural Contexts, Kevin Daniel Orner
USF Tampa Graduate Theses and Dissertations
Efforts to remove and recover nutrients from wastewater are motivated by the United Nations Sustainable Development Goals and the National Academy of Engineering Grand Challenges of Engineering. Of the seventeen Sustainable Development Goals (SDGs), multiple SDGs relate to managing nutrients in wastewater. SDG 6, which is to “ensure availability and sustainable management of water and sanitation for all,” contains targets that aim to improve water quality by reducing pollution, halve the amount of untreated wastewater released to the environment, and increase recycling and safe reuse of wastewater (UN, 2017). SDG 2 seeks to improve food security and SDG 12 seeks …
Ultra-Rapid Microwave Sintering Of Ceramics And Powder Metals, Kirill I. Rybakov, Yury Bykov, Anatoly Eremeev, Sergei Egorov, Vladislav Kholoptsev, Ivan Plotnikov, Andrei Sorokin
Ultra-Rapid Microwave Sintering Of Ceramics And Powder Metals, Kirill I. Rybakov, Yury Bykov, Anatoly Eremeev, Sergei Egorov, Vladislav Kholoptsev, Ivan Plotnikov, Andrei Sorokin
Electric Field Enhanced Processing of Advanced Materials II: Complexities and Opportunities
Over the recent years, we have demonstrated ultra-rapid microwave sintering of different ceramic materials, including Al2O3, ZrO2, Y2O3, MgAl2O4, and Yb:(LaO)2O3, using a gyrotron system operating at a frequency of 24 GHz with an output microwave power of up to 6 kW [1-3]. The ceramic pellets were sintered to 98-99.5 % of the theoretical density with the duration of the high-temperature sintering stage not exceeding several minutes. We have shown that the absorbed microwave power required for the ultra-rapid sintering regimes is …
Effect Of The Addition Of Doped-Cobalt On The Properties Of Recycled Tungsten Carbide Powder Sintered By Sps, Alexandre Mégret, Véronique Vitry, Fabienne Delaunois
Effect Of The Addition Of Doped-Cobalt On The Properties Of Recycled Tungsten Carbide Powder Sintered By Sps, Alexandre Mégret, Véronique Vitry, Fabienne Delaunois
Electric Field Enhanced Processing of Advanced Materials II: Complexities and Opportunities
A key issue that has appeared in the last twenty years is the availability of certain materials. Cobalt is considered as a critical raw material since it is massively used in batteries for electrical cars [1]. Cobalt is also the usual binder in cemented carbides because it gives excellent hardness to toughness ratio at the tungsten carbide parts. There is a tendency to replace cobalt by other binders such nickel or iron [2] but cobalt remains the best one. Recycling old WC parts is a solution to limit the use of raw cobalt powder and to keep the benefits of …
Details On Csa-Sbl: An Algorithm For Sparse Bayesian Learning Boosted By Partial Erroneous Support Knowledge, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Details On Csa-Sbl: An Algorithm For Sparse Bayesian Learning Boosted By Partial Erroneous Support Knowledge, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Electrical and Computer Engineering Faculty Publications
This report provides details on CSA-SBL(VB) algorithm for the recovery of sparse signals with unknown clustering pattern. More specifically, we deal with the recovery of sparse signals with unknown clustering pattern in the case of having partial erroneous prior knowledge on the supports of the signal. In [1], we provided a modified sparse Bayesian learning model to incorporate prior knowledge and simultaneously learn the unknown clustering pattern. For this purpose, we added one more layer to support-aided sparse Bayesian learning algorithm (SA-SBL) that was proposed in [2]. This layer adds a prior on the shape parameters of Gamma distributions, those …
Soft , Multilayered Electronics For Wearable Devices And Methods To Produce The Same, Carmel Majidi, Michael D. Bartlett, Eric J. Markvicka
Soft , Multilayered Electronics For Wearable Devices And Methods To Produce The Same, Carmel Majidi, Michael D. Bartlett, Eric J. Markvicka
Department of Mechanical and Materials Engineering: Faculty Publications
Disclosed herein is an efficient fabrication approach to create highly customizable wearable electronics through rapid laser machining and adhesion - controlled soft materials assembly . Well - aligned , multi - layered materials can be created from 2D and 3D elements that stretch and bend while seamlessly integrating with rigid components such as micro chip integrated circuits ( IC ) , discrete electrical components , and interconnects . These techniques are applied using commercially available materials . These materials and methods enable custom wearable electronics while offering versatility in design and functionality for a variety of bio - monitor ing …
When Engines Go Silent: Speed-To-Fly For Airplane Pilots, Nihad E. Daidzic
When Engines Go Silent: Speed-To-Fly For Airplane Pilots, Nihad E. Daidzic
Aviation Department Publications
FAA Safety Seminar (GL1590721) held at Minnesota State University, Mankato Wiecking Center Auditorium at 18:00 CST on Thursday, March 14, 2019.
Fischer–Tropsch: Product Selectivity–The Fingerprint Of Synthetic Fuels, Wilson D. Shafer, Muthu Kumaran Gnanamani, Uschi M. Graham, Jia Yang, Cornelius M. Masuku, Gary Jacobs, Burtron H. Davis
Fischer–Tropsch: Product Selectivity–The Fingerprint Of Synthetic Fuels, Wilson D. Shafer, Muthu Kumaran Gnanamani, Uschi M. Graham, Jia Yang, Cornelius M. Masuku, Gary Jacobs, Burtron H. Davis
Center for Applied Energy Research Faculty and Staff Publications
The bulk of the products that were synthesized from Fischer–Tropsch synthesis (FTS) is a wide range (C1–C70+) of hydrocarbons, primarily straight-chained paraffins. Additional hydrocarbon products, which can also be a majority, are linear olefins, specifically: 1-olefin, trans-2-olefin, and cis-2-olefin. Minor hydrocarbon products can include isomerized hydrocarbons, predominantly methyl-branched paraffin, cyclic hydrocarbons mainly derived from high-temperature FTS and internal olefins. Combined, these products provide 80–95% of the total products (excluding CO2) generated from syngas. A vast number of different oxygenated species, such as aldehydes, ketones, acids, and alcohols, are also embedded in this product range. …
Development And Application Of Decision-Making Tool For Rural Spring-Sourced Gravity-Fed Community Managed Water Systems, Oswaldo Galicia
Development And Application Of Decision-Making Tool For Rural Spring-Sourced Gravity-Fed Community Managed Water Systems, Oswaldo Galicia
USF Tampa Graduate Theses and Dissertations
People all over the world still lack access to safe drinking water service. Those with access experience several issues during the first few years of installation that impede on their overall access. In order to improve water services, not only is a proper decision-making tool necessary, taking into account key factors that impact sustainable water service, but proper monitoring and evaluation is also important in ensuring service for the long term. There are several developed assessment tools used for monitoring and evaluation of water systems post-construction, applicable in various scenarios. However, there are only few tools available to facilitate the …
Behavior Of Non-Ductile Slender Reinforced Concrete Columns Retrofit By Cfrp Under Cyclic Loading, Wisam Amer Aules
Behavior Of Non-Ductile Slender Reinforced Concrete Columns Retrofit By Cfrp Under Cyclic Loading, Wisam Amer Aules
Dissertations and Theses
In the Middle East region and many countries in the world, older reinforced concrete (RC) columns are deemed to be weak in seismic resistance because of their low amount of reinforcement, low grades of concrete, and large spacing between the transverse reinforcement. The capacity of older RC columns that are also slender is further reduced due to the secondary moments. Appropriate retrofit techniques can improve the capacity and behavior of concrete members. In this study, externally bonded Carbon Fiber Reinforced Polymer (CFRP) retrofit technique was implemented to improve the behavior of RC columns tested under constant axial load and cyclic …
Diagnosis Of Brain Diseases Via Multi-Scale Time-Series Model, Zehua Zhang, Junhai Xu, Jijun Tang, Quan Zou, Fei Guo
Diagnosis Of Brain Diseases Via Multi-Scale Time-Series Model, Zehua Zhang, Junhai Xu, Jijun Tang, Quan Zou, Fei Guo
Faculty Publications
The functional magnetic resonance imaging (fMRI) data and brain network analysis have been widely applied to automated diagnosis of neural diseases or brain diseases. The fMRI time series data not only contains specific numerical information, but also involves rich dynamic temporal information, those previous graph theory approaches focus on local topology structure and lose contextual information and global fluctuation information. Here, we propose a novel multi-scale functional connectivity for identifying the brain disease via fMRI data. We calculate the discrete probability distribution of co-activity between different brain regions with various intervals. Also, we consider nonsynchronous information under different time dimensions, …
Wettability Of Fully Hydroxylated And Alkylated (001) Α-Quartz Surface In Carbon Dioxide Atmosphere, Aleksandr Abramov, Alireza Keshavarz, Stefan Iglauer
Wettability Of Fully Hydroxylated And Alkylated (001) Α-Quartz Surface In Carbon Dioxide Atmosphere, Aleksandr Abramov, Alireza Keshavarz, Stefan Iglauer
Research outputs 2014 to 2021
Wettability of alkylated quartz surfaces is of primary importance in several technological applications, including the development of oil and gas reservoirs and carbon geo-sequestration. It is intuitively understood and experimentally confirmed that hydroxylated quartz surfaces are hydrophilic. By gradually saturating a hydroxylated (001) α-quartz surface with pentyl groups, we show using molecular dynamics simulations that the surface can also exhibit extreme hydrophobicity. Within a range of surface pentyl group density from 0.29 to 3.18/nm2, the contact angle of a water droplet under 10 MPa pressure of carbon dioxide at 300 K changes from 10–20 to 180°. This study …
Recipe For Disaster, Zac Travis
Recipe For Disaster, Zac Travis
MFA Thesis Exhibit Catalogs
Today’s rapid advances in algorithmic processes are creating and generating predictions through common applications, including speech recognition, natural language (text) generation, search engine prediction, social media personalization, and product recommendations. These algorithmic processes rapidly sort through streams of computational calculations and personal digital footprints to predict, make decisions, translate, and attempt to mimic human cognitive function as closely as possible. This is known as machine learning.
The project Recipe for Disaster was developed by exploring automation in technology, specifically through the use of machine learning and recurrent neural networks. These algorithmic models feed on large amounts of data as a …