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Nuclear Fuel Elements: Design, Fabrication and Performance is concerned with the design, fabrication, and performance of nuclear fuel elements, with emphasis on fast reactor fuel elements. Topics range from fuel types and the irradiation behavior of fuels to cladding and duct materials, fuel element design and modeling, fuel element performance testing and qualification, and the performance of water reactor fuels. Fast reactor fuel elements, research and test reactor fuel elements, and unconventional fuel elements are also covered. This volume consists of 12 chapters and begins with an overview of nuclear reactors and fuel elements, as well as fuel element design and development based on the reactor operator's approach, materials scientist's approach, and interdisciplinary approach. The reader is then introduced to different types of nuclear fuels and their irradiation behavior, considerations for using cladding and duct materials in fuel element design and development, and fuel element design and modeling. The chapters that follow focus on the testing of fuel element performance, experimental techniques and equipment for testing fuel element designs, and the performance of fuels for water reactors. Fuel elements for gas-cooled reactors, fast reactors, and research and test reactors are also described. The book concludes with an assessment of unconventional fuel elements. This book will be useful to fuel element technologists as well as materials scientists and engineers.
This report extends the application of on-line monitoring to equipment and process condition monitoring, encompassing an array of technologies including vibration monitoring, acoustic monitoring, loose parts monitoring, motor current signature analysis and noise diagnostics, as well as vibration analysis of the reactor core and the primary circuit. Furthermore, this report includes the application of modeling technologies for equipment and process condition monitoring. A majority of these technologies depend on existing data from existing sensors and first principles models to estimate equipment and process behavior using empirical and physical modeling techniques. In doing so, pattern recognition tools such as neural networks, fuzzy classification of data, multivariate state estimation and other means are used. These means are described in the report, and examples of their application and implementation are provided. The benefits of OLM for performance verification of process instruments were described in the first report and included such advantages as the ability to extend the calibration interval of pressure, level and flow transmitters, detection of blockages, voids and leaks in pressure sensing lines, detection of degradation of the dynamic response of process instruments, and the like. Examples of benefits of OLM for condition monitoring include: (1) the ability to determine the onset of failure of pumps, valves, motors and reactor vessel components; (2) residual life assessment of equipment; (3) equipment life extension and aging management; (4) the ability to establish objective schedules for preventive maintenance, equipment refurbishment or replacement; and (5) maintenance cost reduction, efficiency improvements, reduction of plant outages, and reduction of radiation exposure to plant personnel.--Publisher's description.