Deformation of inclusions in rail steel due to rolling contact

Rolling contact fatigue (RCF) is a significant problem in the rail industry as it causes rapid and difficult to detect cracks. Inclusions present in the material can have an adverse effect on the RCF life of rails. This study aims to discover the impact of the loading of rail steel in service on the inclusions present within the material. The work pays particular attention to the elongation and flattening of MnS inclusions and their contribution toward rail failure using a combination of micro-hardness measurements, inclusion analysis and focused ion beam analysis. The results indicate that the inclusions present in the material are considerably elongated by the loading of the rail in service and this may contribute to spontaneous cracking or assist in crack propagation

Enabling Interactive Analytics of Secure Data using Cloud Kotta

Research, especially in the social sciences and humanities, is increasingly reliant on the application of data science methods to analyze large amounts of (often private) data. Secure data enclaves provide a solution for managing and analyzing private data. However, such enclaves do not readily support discovery science---a form of exploratory or interactive analysis by which researchers execute a range of (sometimes large) analyses in an iterative and collaborative manner. The batch computing model offered by many data enclaves is well suited to executing large compute tasks; however it is far from ideal for day-to-day discovery science. As researchers must submit jobs to queues and wait for results, the high latencies inherent in queue-based, batch computing systems hinder interactive analysis. In this paper we describe how we have augmented the Cloud Kotta secure data enclave to support collaborative and interactive analysis of sensitive data. Our model uses Jupyter notebooks as a flexible analysis environment and Python language constructs to support the execution of arbitrary functions on private data within this secure framework.Comment: To appear in Proceedings of Workshop on Scientific Cloud Computing, Washington, DC USA, June 2017 (ScienceCloud 2017), 7 page

Development of versatile high power bounce geometry lasers

This thesis details an investigation into the development of bounce geometry lasers to achieve a more versatile range of laser characteristics. The bounce geometry has matured in recent years into a useful solid-state pumping scheme, but its performance has to date been limited by a number of factors, as well as largely restricted to neodymium systems. For real-world application, a more versatile range of laser characteristics would be desirable. A new design for a bounce geometry amplifier is presented that achieves a symmetric gain profile and thermal lens by control of the amplifier dimensions. The laser produces a circular stigmatic TEM00 (M2 < 1:11) beam with 14 W power. When Q-switched, the design permits versatile control over the repetition rate (single-shot to 480 kHz) with pulse energies up to 0.45 mJ. The stigmatic design also allows the direct generation of a Laguerre-Gaussian `vortex' beam, and proves favourable for modelocking with the nonlinear mirror method. Several designs are investigated to study power scaling in a master oscillator power amplifier (MOPA) configuration, including a stigmatic MOPA based on the amplifier described above, and a chain of multiple power amplifiers. A folded dual-pumped amplifier design is also demonstrated, which reduces the size and complexity of a multi-stage amplifier and allows power scaling to the 100 W level. Pulse amplification is also investigated, and a MOPA is optimised for energy extraction by a Q-switched oscillator. Finally a 3-micron bounce laser is presented using an erbium-doped YSGG gain medium. Different cavity designs are investigated, and a simple compact cavity is found to be optimum. Thermal effects are investigated and found to be a limiting factor on the laser's performance. Quasi-continuous wave pulse energies of up to 15 mJ are demonstrated, with an average power of up to 430 mW

Moderating Livestock Grazing Effects on Plant Productivity, Nitrogen and Carbon Storage

Multi-year studies of plant communities and soils in the Bear River Range in southeastern Idaho and northeastern Utah found reduced ground cover and herbaceous production in areas grazed by livestock when compared to reference values or long-term rested areas. Reductions in these ecosystem components have lead to accelerated erosion and losses in stored carbon and nitrogen. Restoration of these ecosystem components, with their associated carbon and nitrogen storage, is possible by application of science-based grazing management