The laser shock peening process can generate a dislocation network, stacking faults, and deformation twins in the near surface of austenitic stainless steels by the interaction of laserdriven shock waves with metals. In-situ transmission electron microscopy (TEM) irradiation studies suggest that these dislocations and incoherent twin boundaries can serve as effective sinks for the annihilation of irradiation defects. As a result, the irradiation resistance is improved as the density of irradiation defects in laser-peened stainless steels is much lower than that in untreated steels. After heating to 300 °C, a portion of the dislocations and stacking faults are annealed out while the deformation twins remain stable, which still provides improved irradiation resistance. These findings have important implications on the role of laser shock peening on the lifetime extension of austenitic stainless steel components in nuclear reactor environments.
This paper presents our recent efforts that use in-situ irradiation TEM experiments as a tool to understand the interaction process of irradiation defects with crystal defects in austenitic stainless steels (ASS). Various irradiation defect clusters, such as dislocation loops, stacking fault tetrahedra, and voids, can form during the heavy-ion irradiation of ASS. [1] Once nucleated, they interact with the pre-existing crystal defects in the ASS, such as dislocations, grain boundaries and interfaces. These interactions may result in the annihilation of irradiation defects, and thus are important for designing the microstructure of materials with improved irradiation resistance. However, the fundamental mechanisms that control the interactions between irradiation defects and crystal defects are not well understood, due to the complexity of the interaction process. Time-resolved in-situ TEM experiments have the ability to offer real-time observation of the development of irradiation defects and their interactions with crystal defects. These in-situ TEM studies provide experimental evidences as the input to aid the development of physical models for the predication of the microstructure-property relationship of ASS in the nuclear reactor environment.
Large-scale instruments sharing platform has been completed based on using Java language to program, and using spring Boot framework technology for building the background project, and using MySQL database to store the data, and using Vue to design the front-page, which will been shared and used in District, University and Enterprise. The test system of eclipse is used for case test to realize the sharing function of large-scale instruments. Through this platform, the instruments’ information and leasing of large-scale instruments can be understood in real time, and the status information, online use records, equipment using experience, and online booking, comments and customer service consultation can also be carried out on the platform, so as to make rational and efficient use of large-scale instruments, reduce the using waste of large-scale instruments, and be more conducive to the sustainable development of economy, science and technology and expand the scope of resource sharing.
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