Fabricación y caracterización de wolframio nanoestructurado como material de primera pared en reactores de fusión nuclear

El trabajo que se llevará a cabo se basa en el desarrollo de nuevos materiales que sean capaces de resistir las condiciones extremas a las que estarían expuestos en el interior de un reactor de fusión nuclear, como son los altos choques térmicos y los altos flujos iónicos. Actualmente se está investigando en el potencial del wolframio nanoestructurado como material de primera pared (en inglés PFM: Plasma Facing Material). La principal ventaja de éste frente al wolframio masivo radica en su gran densidad de fronteras de grano que hacen que el material sea más resistente a la irradiación. El objetivo de este trabajo será la búsqueda de las condiciones óptimas para la fabricación de recubrimientos de wolframio nanoestructurado mediante la técnica de pulverización catódica ("sputtering") en diferentes configuraciones, continuo ("Direct Current Magnetron Sputtering" o DCMS) y/o pulsado ("High Power Impulse Magnetron Sputtering" o HiPIMS) y caracterizar sus propiedades como PFM mediante perfilometría, microscopía óptica, microscopía electrónica de barrido ("Scanning Electron Microscope" o SEM) y difracción de rayos X ("X-Ray Diffraction" o XRD). A su vez, se realizará un ensayo de implantación con un plasma pulsado de He para analizar los efectos de la irradiación en uno de los recubrimientos. Abstract: The work that will be carried out is based on the development of new materials capable of withstanding the extreme conditions that they will have to face inside a nuclear fusion reactor, such as high thermal loads and high ion fluxes. Currently, nanostructured tungsten potential is being investigated as a plasma facing material (PFM). The main advantage over coarse grain tungsten is its high density of grain boundaries which make the material more resistant to irradiation. The project´s main objective will be the search of the optimal conditions that will allow us to fabricate nanostructured tungsten thin films by using the sputtering technique in different configurations, such as DCMS (Direct Current Magnetron Sputtering) and/or HiPIMS (High Power Impulse Magetron Sputtering) and characterize their properties as a PFM by perfilometry, optical microscopy, SEM (Scanning Electron Microcopy) and XRD (X-Ray Diffracion) analysis. Moreover, an implantation test with a He pulsed plasma will be carried out to analyze the effects of irradiation on one of the coatings.

Sediment microstructures of ODP Leg 105 holes

Possible genetic relationships between syn- and post-depositional processes and sediment microstructure were investigated. Samples from cores at Sites 646 and 647 of Ocean Drilling Program (ODP) Leg 105 included examples of bottom current deposition (contourites), turbidity current deposition, consolidation, and diagenesis. Examination of nearly 200 micrographs of 14 samples from Site 646 and 13 samples from Site 647 leads to the conclusion that sedimentation processes do not appear to have an obvious influence on fabric. The effects of post-depositional processes, such as bioturbation, coring disturbance, and even remolding, appear to be less significant than one might expect as a result of the relatively coarse grain size of the sediments studied. Consolidation resulting from increased overburden stress results in increased particle alignment and compression of fabric elements with depth. The transition from open, random fabric in shallow samples to preferred orientation at depth represents the only change in these sediments that can be ascribed directly to a specific depositional or post-depositional process. Mineralogical variations, owing to changes in weathering processes and growth of authigenic/diagenetic minerals, also have a pronounced effect on sediment fabric.

User Behavioral Modeling of Web-based Systems for Continuous User Authentication

Authentication plays an important role in how we interact with computers, mobile devices, the web, etc. The idea of authentication is to uniquely identify a user before granting access to system privileges. For example, in recent years more corporate information and applications have been accessible via the Internet and Intranet. Many employees are working from remote locations and need access to secure corporate files. During this time, it is possible for malicious or unauthorized users to gain access to the system. For this reason, it is logical to have some mechanism in place to detect whether the logged-in user is the same user in control of the user's session. Therefore, highly secure authentication methods must be used. We posit that each of us is unique in our use of computer systems. It is this uniqueness that is leveraged to "continuously authenticate users" while they use web software. To monitor user behavior, n-gram models are used to capture user interactions with web-based software. This statistical language model essentially captures sequences and sub-sequences of user actions, their orderings, and temporal relationships that make them unique by providing a model of how each user typically behaves. Users are then continuously monitored during software operations. Large deviations from "normal behavior" can possibly indicate malicious or unintended behavior. This approach is implemented in a system called Intruder Detector (ID) that models user actions as embodied in web logs generated in response to a user's actions. User identification through web logs is cost-effective and non-intrusive. We perform experiments on a large fielded system with web logs of approximately 4000 users. For these experiments, we use two classification techniques; binary and multi-class classification. We evaluate model-specific differences of user behavior based on coarse-grain (i.e., role) and fine-grain (i.e., individual) analysis. A specific set of metrics are used to provide valuable insight into how each model performs. Intruder Detector achieves accurate results when identifying legitimate users and user types. This tool is also able to detect outliers in role-based user behavior with optimal performance. In addition to web applications, this continuous monitoring technique can be used with other user-based systems such as mobile devices and the analysis of network traffic.

Hot deformation and recrystallization of a metastable beta titanium ingot

Hot deformation behavior and microstructure evolution of a coarse grain metastable beta titanium alloy (Ti-5Al-5Mo-5V-3Cr) was investigated using uniaxial compression testing followed by a subsequent beta annealing treatment. Compression testing was carried out at 720 °C and strain rates between 0.001-10 s-1 on samples with beta annealed condition and aged microstructure containing high volume fraction of relatively large alpha precipitates. The peak load of the aged samples are higher than the non-aged specimens but they show rather similar steady state flow stress. The subsequent beta annealing treatment on the compressed aged samples leads to breaking down the ingot microstructure and formation of a fully recrystallized beta phase with massive grain refinement (order of millimeter to ∼100 μm). However, after annealing such grain refinement is not seen for the non-aged samples except at high strain rates that showed partial and local recrystallization.

Acceleration of the super bainite transformation through a coarse austenite grain size

The effect of austenite grain size on the kinetics of the isothermal bainitic transformation in a high-carbon super-bainitic steel was investigated. Experimental results showed that the transformation of super bainite was accelerated by a coarse austenite grain size. This is because while coarse austenite grains provide less nucleation sites, it is beneficial for bainite sheaf growth. Meanwhile, there is a critical austenite grain size below which there is a distinct grain size effect and above which it is not evident. © 2014 Elsevier B.V.