Digital Commons Network^™

Modeling And Experimental Investigations On Particle Dynamic Behaviors In Laser 3d Printing With Blown Powder, Wei Li

Doctoral Dissertations

"Pre-mixed powder is frequently-used powder supply to fabricate Functional Gradient Material (FGM) by Laser 3D printing, which is also called Laser Metal Deposition (LMD). The deposited FGM composition is expected to be similar or same as supplied powder mixture. However, because pre-mixed powder has different particle densities and particle sizes, the caused particle acceleration differences can result in the separation in powder mixture. Up to now, there was no study focused on pre-mixed powders' flow behavior in LMD. The current research aims to investigate the flow behaviors of pre-mixed powder supplied for LMD through both experimental and modeling approaches. In …

Empirical Correlations Between Rock Cutting Parameters And Excavated Rock Surface Rebound Hardness, Azupuri Germanus Ayerikujei Kaba

Doctoral Dissertations

"In field excavation, cutting tools operate on rock surfaces damaged from previous tool pass, yet, average intact rock properties are often used in field project estimations. This can result in overestimation of excavation time and cost. The ability to accurately correlate the damaged rock properties to the excavation parameters means more reliable estimates of project completion time and costs, and hence improved the application of mechanical excavation technology to a wider range of civil and mining industries.

The purpose of this research was to better understand the relationship between rock cutting parameters and the excavated rock surface hardness during mechanical …

Correlation Between Delay Time And Measured Concentration And Concentration Uncertainty By Neutron Activation Analysis, James Thomas Seman

Doctoral Dissertations

"For the last several decades, it has been apparent that new methods of identifying explosives can help investigators trace their origins. One way to identify an explosive is through the use of taggants: materials added to a product that encodes information about the product such as when it was manufactured.

This research investigates the survivability of a new identification taggant called the Nuclear Barcode that overcomes some of the downfalls that have been identified in prior taggants. The Nuclear Barcode encodes information as a unique combination of concentrations of rare earths (Ho, Eu, Sm, Lu, and Dy) and precious metals …

Direct Numerical Simulation Of Pressure Fluctuations Induced By Supersonic Turbulent Boundary Layers, Chao Zhang

Doctoral Dissertations

"Direct Numerical Simulations are used to generate a database of high-speed zero-pressure-gradient turbulent boundary layers developing spatially over a flat plate with nominal freestream Mach number ranging from 2:5 to 14 and wall-to-recovery temperature ranging from 0:18 to 1:0. The flow conditions of the DNS are representative of the operational conditions of the Purdue Mach 6 quiet tunnel, the Sandia Hypersonic Wind Tunnel at Mach 8, and the AEDC Hypervelocity Tunnel No. 9 at Mach 14. The DNS database is used to gauge the performance of compressibility transformations, including the classical Morkovin's scaling and strong Reynolds analogy as well as …

Hydrodynamics Related Performance Evaluation Of Upflow Moving Bed Hydrotreater Reactor (Mbr) Using Developed Experimental Methods And Cfd Simulation, Vineet Alexander

Doctoral Dissertations

"Upflow Moving Bed Hydrotreater (MBR) reactor is used for hydrotreating resid crude oil. It is a two-phase upflow reactor having a catalyst bed with conical bottom, and plena. At industrial conditions the reactor is not performing at its best and encountering issues such as hot spots, catalyst agglomeration inside the catalyst bed leading to frequent shutdown of the reactor. The root cause of these problems are linked to the improper hydrodynamics inside the catalyst bed. To investigate this, the industrial scale MBR is scaled down to a pilot scale and indicative and key hydrodynamic parameters are investigated using developed experimental …

Torsional Behavior Of Rc Beams Strengthened With Pbo-Frcm Composite, Meyyada Y. Alabdulhady

Doctoral Dissertations

"Externally bonded fiber reinforced cementitious matrix (FRCM) composites have been investigated recently as an alternative to fiber reinforced polymer (FRP) composites to overcome certain shortcomings such as the inability to install on wet surfaces or in low temperatures, low fire resistance, low glass transition temperature, low reversibility, and lack of vapor permeability. This study includes an inclusive investigation of the torsional behavior of RC beams strengthened with externally bonded polyparaphenylene benzo-bisoxazole (PBO)-FRCM composite material. A comprehensive review and discussion of the previous experimental, analytical, and numerically-simulated torsional behavior of RC beams strengthened with FRP composite was introduced to gain a …

3d Seismic Attribute Analysis And Machine Learning For Reservoir Characterization In Taranaki Basin, New Zealand, Aamer Alhakeem

Doctoral Dissertations

"The Kapuni group within the Taranaki Basin in New Zealand is a potential petroleum reservoir. The objective of the study includes building a sequential approach to identify different geological features and facies sequences within the strata, through visualizing the targeted formations by interpreting and correlating the regional geological data, 3D seismic, and well data by following a sequential workflow. First, seismic interpretation is performed targeting the Kapuni group formations, mainly, the Mangahewa C-sand and Kaimiro D-sand. Synthetic seismograms and well ties are conducted for structural maps, horizon slices, isopach, and velocity maps. Well log and morphological analyses are performed for …

Process Simulation And Experimental Investigation Of Biofuel Production In A High Rate Anaerobic Digestion Process, Haider Al-Rubaye

Doctoral Dissertations

"The non-hazardous waste management hierarchy of the US EPA calls for “Reduce, Reuse, and Recycle” (or the three R’s) of wastes. The anaerobic digestion process is one of the most important methods that used to treat the wastes and at the same time generate energy out of it. The anaerobic digestion process generates a mixture of methane and carbon dioxide gases which is known as biogas.

The biogas composition is about 50-70% methane and 10-30% of carbon dioxide and trace amount of other gases like hydrogen and hydrogen sulfide. This biogas can be used in power generation, heating systems and …

Investigation Of The Hydrodynamics And Scale-Up Of Advanced Triso Nuclear Fuel Manufacturing Using Sophisticated Measurement Techniques, Thaar M. Aljuwaya

Doctoral Dissertations

"The successful performance and safety of the Very-High-Temperature Nuclear Reactors (VHTR) extremely depend on the quality of the TRISO nuclear fuel coated particles. However, the coating of the TRISO particles is delicate process and impacted by the hydrodynamics of spouted beds. Therefore, in this work, we applied advanced non-invasive measurement techniques which are gamma-ray computed tomography (CT) and radioactive particle tracking (RPT), to investigate foremost the local parameters to advance the fundamental understanding of the hydrodynamics and scale-up of gas-solid spouted beds. The CT technique has been applied to study the effects of particle density, particle size, bed size, and …

Imaging And Mitigating Karst Features, Kenneth Joseph Bansah

Doctoral Dissertations

"Over the last three years, a comprehensive subsurface investigation that combines both conventional and geophysical techniques has been conducted near Springfield in southwest Missouri, United States. This study, which forms part of the comprehensive subsurface investigation, aimed to (1) image and characterize the subsurface, (2) map variations in engineering properties of soil/rock, (3) map variable depth to top of rock, (4) explore the utility of the geophysical techniques, (5) determine the factors contributing to karst processes, and (6) propose karst mitigation. Electrical resistivity tomography (ERT) and multichannel analysis of surface waves (MASW) were employed for the acquisition of subsurface geophysical …

Gis-Based Spatial Analysis Coupled With Geophysical Imaging To Identify And Evaluate Factors That Control The Formation Of Karst Sinkholes In Southwestern Missouri, Shishay T. Kidanu

Doctoral Dissertations

"Sinkholes are inherent features of the karst terrain underlying much of Greene County, Missouri. These features present hazards and engineering challenges to existing infrastructure unknowingly constructed on a seemingly benign ground surface. The primary objective of this research was to investigate the physical processes chiefly responsible for triggering the seemingly random distribution of sinkholes in the study area. This research employed an integrated approach encompassing regional scale GIS-based spatial analyses and site-specific geophysical data. GIS-based spatial analysis was employed to identify significant physical factors that appeared to influence the formation and distribution of sinkholes. Seven out of the twelve most …

Guayule Plant Extracts As Binder Modifiers In Flexible (Asphalt) Pavement Mixtures, Steven Michael Lusher

Doctoral Dissertations

"The guayule (pronounced, 'why-YOO-lee') plant is a woody perennial shrub that is native to areas of the southwestern United States and northern Mexico, and is a well-documented source of high-quality natural rubber. The U.S. needs a domestic source of natural rubber to allay concerns about its future availability. Cultivation of guayule in North America has been attempted many times since the late 19th century, and companies, including major tire manufacturers, are again investing in guayule research. However, full-scale commercialization of guayule rubber needs established markets for the two basic by-products of guayule rubber extraction: the plant resins (primarily non-rubber compounds) …

A Multiple Scattering Method To Study The Cable Harness Inside A Vehicle Shell, Yansheng Wang

Doctoral Dissertations

"This dissertation contains three major parts. In the first part, a generalized multi-conductor transmission line (GMTL) method is proposed to model a cable harness. In the GMTL method, all wires of the cable harness take the infinity as the reference. In such a way, the GMTL method takes into account not only the transmission-line mode but also the antenna-mode current on the cable harness. Further, by employing the GMTL method and the mixed-potential integral equations (MPIE) method in a multiple scattering (MS) procedure, it enables an efficient and accurate approach to evaluate the current distribution on a cable harness with …

Learning-Based Short-Time Prediction Of Photovoltaic Resources For Pre-Emptive Excursion Cancellation, Huaiqi Xie

Doctoral Dissertations

"There is a growing interest in using renewable energy resources (RES) such as wind, solar, geothermal and biomass in power systems. The main incentives for using renewable energy resources include the growing interest in sustainable and clean generation as well as reduced fuel cost. However, the challenge with using wind and solar resources is their indeterminacy which leads to voltage and frequency excursions. In this dissertation, first, the economic dispatch (ED) problem for a community microgrid is studied which explores a community energy market. As a result of this work, the importance of modeling and predicting renewable resources is understood. …

Mining And Analysis Of Real-World Graphs, Armita Abedijaberi

Doctoral Dissertations

"Networked systems are everywhere - such as the Internet, social networks, biological networks, transportation networks, power grid networks, etc. They can be very large yet enormously complex. They can contain a lot of information, either open and transparent or under the cover and coded. Such real-world systems can be modeled using graphs and be mined and analyzed through the lens of network analysis. Network analysis can be applied in recognition of frequent patterns among the connected components in a large graph, such as social networks, where visual analysis is almost impossible. Frequent patterns illuminate statistically important subgraphs that are usually …

Development And Management Of Advanced Batteries Via Additive Manufacturing And Modeling, Jie Li

Doctoral Dissertations

"The applications of Li-ion batteries require higher energy and power densities, improved safety, and sophisticated battery management systems. To satisfy these demands, as battery performances depend on the network of constituent materials, it is necessary to optimize the electrode structure. Simultaneously, the states of the battery have to be accurately estimated and controlled to maintain a durable condition of the battery system. For those purposes, this research focused on the innovation of 3D electrode via additive manufacturing, and the development of fast and accurate physical based models to predict the battery status for control purposes. Paper I proposed a novel …

The Separation Of Shear-Driven Liquid Films From A Sharp Corner, Zahra Sadeghizadeh

Doctoral Dissertations

"The separation of shear-driven liquid films occurs in many engineering applications such as port fuel injected engines, demisters, and gas transfer lines. Despite the importance of this problem, the details of the interaction between operating parameters such as liquid flow rate, gas velocities and liquid film properties on the forces at the expanding corner are still not clear. To enhance the insight on the complicated interaction between the gas and liquid phases, the shear-driven liquid flow around a corner has been studied both experimentally and analytically in this work. The effect of the complex liquid film structure on liquid mass …

The Significance Of Grouping And Missed Bubbles On Interfacial Area Concentration And Void Fraction, Chandller Stephen-Leslie Mills

Doctoral Dissertations

"The two-fluid model is used in nuclear reactor safety codes. Two of the important constitutive relations will be discussed in this study, the interfacial area concentration and void fraction. The Interfacial area concentration is directly affected by the number of bubbles and how these bubbles are categorized into groups. In this study, a new algorithm was implemented to account for trailing bubbles, bubbles with short response times, and the categorization of bubbles based upon diameter for all group 1 bubbles. The optical and conductivity probes were used to determine the void fraction and interfacial area concentration in a bubble column. …

Detecting Cells And Analyzing Their Behaviors In Microscopy Images Using Deep Neural Networks, Yunxiang Mao

Doctoral Dissertations

"The computer-aided analysis in the medical imaging field has attracted a lot of attention for the past decade. The goal of computer-vision based medical image analysis is to provide automated tools to relieve the burden of human experts such as radiologists and physicians. More specifically, these computer-aided methods are to help identify, classify and quantify patterns in medical images. Recent advances in machine learning, more specifically, in the way of deep learning, have made a big leap to boost the performance of various medical applications. The fundamental core of these advances is exploiting hierarchical feature representations by various deep learning …

Design And Characterization Of Multi-Spectral Underwater Beam-Port For Pool-Type Research Reactors, Meshari Mesfer Alqahtani

Doctoral Dissertations

“The beam-port is a cardinal facility at research reactors necessary for dry irradiation, testing and measurement experiments. The Missouri University of Science and Technology Reactor (MSTR) is one such reactor with a beam-port. Installation of additional beam-port in such reactor facilities can be prohibitive. A novel remedy to this is an underwater beam-port for pool-type reactors. The design and characterization of a conceptual underwater multi-spectral beam-port for neutron and gamma fluxes were completed for the MSTR. The neutron spectra from the MSTR were simulated using the Monte Carlo N-particle (MCNP). The determined neutron spectra were experimentally validated using SAND-II. The …

Fy 2018 Annual Report On The Quality Of Kerosene And Motor Fuel In Tennessee, Tennessee. Department Of Agriculture

Annual Reports on Kerosene & Motor Fuel Quality

This annual report provides data on the effectiveness of the 1989 Kerosene and Motor Fuels Quality Inspection Act, consumer complaints, inspection data, and a summary of enforcement.

Virtual Reality Exceptionalism, Gilad Yadin

Vanderbilt Journal of Entertainment & Technology Law

Virtual reality is here. In just a few years, the technology moved from science fiction to the Internet, from specialized research facilities to living rooms. These new virtual reality environments are connected, collaborative, and social-built to deliver a subjective psychological effect that believably simulates spatial physical reality. Cognitive research shows that this effect is powerful enough that virtual reality users act and interact in ways that mirror real-world social and moral norms and behavior.

Contemporary cyberlaw theory is largely based on the notion that cyberspace is exceptional enough to warrant its own specific rules. This premise, a descendant of early …

A Free Ride: Data Brokers'rent-Seeking Behavior And The Future Of Data Inequality, Krishnamurty Muralidhar, Laura Palk

Vanderbilt Journal of Entertainment & Technology Law

Historically, researchers obtained data from independent studies and government data. However, as public outcry for privacy regarding the government's maintenance of data has increased, the discretionary release of government data has decreased or become so anonymized that its relevance is limited. Research necessarily requires access to complete and accurate data. As such, researchers are turning to data brokers for the same, and often more, data than they can obtain from the government. Data brokers base their products and services on data gathered from a variety of free public sources and via the government-created Internet. Data brokers then recategorize the existing …

Data At The Docks: Modernizing International Trade Law For The Digital Economy, Andrew D. Mitchell, Neha Mishra

Vanderbilt Journal of Entertainment & Technology Law

The World Trade Organization (WTO) has been slow so far in responding to the various challenges arising from the integration of electronic commerce into cross-border trading activities. This slow response in the multilateral system is largely attributable to the complex, multifaceted nature of digital trade or electronic commerce, coupled with the conflict among countries on issues of Internet regulation and digital development. Nonetheless, international trade agreements, particularly at the WTO, play an important role in the creation of a secure, predictable, and trustworthy global regulatory framework for digital trade, and therefore, need to be reformed in a timely and meaningful …

Evil Nudges, Michal Lavi

Vanderbilt Journal of Entertainment & Technology Law

The seminal book Nudge by Richard Thaler and Cass Sunstein demonstrates that policy makers can prod behavioral changes. A nudge is "any aspect of the choice architecture that alters people's behavior in a predictable way without forbidding any options or significantly changing their economic incentives." This type of strategy, and the notion of libertarian paternalism at its base, prompted discussions and objections. Academic literature tends to focus on the positive potential of nudges and neglects to address libertarian paternalism that does not promote the welfare of individuals and third parties, but rather infringes on it-a concept this Article refers to …

The Limits Of International Copyright Exceptions For Developing Countries, Ruth L. Okediji

Vanderbilt Journal of Entertainment & Technology Law

The relationship between intellectual property (IP) protection and economic development is not better understood today than it was five decades ago at the height of the independence era in the Global South. Development indicators in many developing and least-developed countries reflect poorly in precisely the areas that are most closely associated with copyright law's objectives, such as promoting democratic governance, facilitating a robust marketplace of ideas, fostering domestic markets in cultural goods, and improving access to knowledge. Moreover, evidence suggests that copyright law has not been critical to the business models of the creative sectors in leading emerging markets. These …

เชื้อเพลิงขยะอัดแท่งเตรียมจากขยะทั่วไปโดยใช้โพลิไวนิลแอลกอฮอล์ ดินสอพอง และใบจามจุรีที่ผ่านการหมักแล้วเป็นตัวประสาน, ชนมน วิริยะจารุ

Chulalongkorn University Theses and Dissertations (Chula ETD)

การเปลี่ยนขยะให้เป็นพลังงานถือเป็นทางเลือกหนึ่งในการช่วยแก้ปัญหาขยะมูลฝอยชุมชน รวมทั้งช่วยลดปริมาณการใช้เชื้อเพลิงฟอสซิสในกระบวนการเผาไหม้ของโรงงานอุตสาหกรรม งานวิจัยนี้ศึกษาสภาวะที่เหมาะสมและประเภทของตัวประสานที่เหมาะสมในขั้นตอนการผลิตเชื้อเพลิงขยะอัดแท่ง ให้เชื้อเพลิงขยะอัดแท่งมีสมบัติทางกายภาพและเคมีเหมาะสมสำหรับใช้เป็นเชื้อเพลิงร่วมในกระบวนการเผาไหม้ของโรงงานปูนซีเมนต์ โดยใช้ขยะทั่วไปส่วนที่รีไซเคิลไม่ได้เก็บรวบรวมภายในจุฬาลงกรณ์มหาวิทยาลัยเป็นส่วนประกอบหลักของเชื้อเพลิงขยะอัดแท่ง สำหรับตัวประสานที่ใช้ในงานวิจัยนี้คือ โพลิไวนิลแอลกอฮอล์ ดินสอพองและใบจามจุรีที่ผ่านการหมักแล้ว และทำการทดสอบการเผาไหม้โดยใช้เตาแก๊สซิไฟเออร์แบบไหลลง จากการวิจัยพบว่าที่สัดส่วนพลาสติก กระดาษ และกากกาแฟ 5:1:3 ตามลำดับ มีค่าความร้อนสูงที่สุดคือ 32.9 เมกะจูลต่อกิโลกรัม สภาวะที่เหมาะสมในการอัดแท่งเชื้อเพลิงคือแรงดันไม่ควรต่ำกว่า 100 บาร์ อุณหภูมิควรอยู่ในช่วง 250-300 องศาเซลเซียสและเวลาจะขึ้นอยู่กับอุณหภูมิที่ใช้ การใช้โพลิไวนิลแอลกอฮอล์เป็นตัวประสานที่ปริมาณ 0.2 มีสมบัติทางกายภาพและเคมีเหมาะสมที่สุดคือมีค่าความร้อน 33.3 เมกะจูลต่อกิโลกรัม ความหนาแน่น 869.5 กิโลกรัมต่อลูกบาศก์เมตร ค่ากำลังต้านทานแรงอัด 3.8 เมกะปาสคาล ก๊าซที่เกิดขึ้นมีค่าความร้อนก๊าซเฉลี่ย 3.04 เมกะจูลต่อลูกบาศก์มาตรฐาน และสมบัติทางกายภาพและเคมีผ่านเกณฑ์กำหนด ทนต่อการเผาไหม้ ให้อุณหภูมิในระหว่างการเผาไหม้สูง ติดไฟได้ง่าย เหมาะสำหรับใช้เป็นเชื้อเพลิงร่วมในกระบวนการเผาไหม้ของโรงงานปูนซีเมนต์

What Can The Social Emotions Of Dogs Teach Us About Human Emotions?, Dean Mobbs

Animal Sentience

It has long been believed that social emotions such as guilt and jealousy are only expressed in humans. In the case of jealousy, its adaptive value has been linked to the prevention of sexual infidelity or fairness. So why would dogs feel jealousy? I suggest that understanding how social emotions have been bred into dogs can help us understand our own emotions, including their functionality — and potentially their mechanisms.

Fish Sentience Denial: Muddying The Waters, Lynne U. Sneddon, Javier Lopez-Luna, David C.C. Wolfenden, Matthew C. Leach, Ana M. Valentim, Peter J. Steenbergen, Nabila Bardine, Amanda D. Currie, Donald M. Broom, Culum Brown

Animal Sentience

Recent empirical studies have reported evidence that many aquatic species, including fish, cephalopods and crustaceans, have the capacity for nociception and pain, and that their welfare should be taken into consideration. Some sceptics, rejecting the precautionary principle, have denied that any study demonstrates pain or other aspects of sentience in fish. This target article discusses some of the scientific shortcomings of these critiques through a detailed analysis of a study exploring nociception and analgesia in larval zebrafish.

Ergodicity Of The Llr Method For The Density Of States, Guido Cossu, Biagio Lucini, Roberto Pellegrini, Antonio Rago

School of Engineering, Computing and Mathematics

The LLR method is a novel algorithm that enables us to evaluate the density of states in lattice gauge theory. We present our study of the ergodicity properties of the LLR algorithm for the model of Yang Mills SU(3). We show that the use of the replica exchange method alleviates significantly the topological freeze-out that severely affects other algorithms.