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Microstructural and Nanomechanical Characterization of In-Situ He Implanted and Irradiated fcc Materials

Nuclear Materials research focusing on the degradation of materials utilized in nuclear environments has been studied for decades. This research aims to assess the microstructural changes and therefore mechanical property degradation as a function of radiation dose at representative temperatures and environments. Traditionally specimens are exposed to reactor or ion beam irradiation and subsequently examined using transmission electron microscopy, atom probe tomography, X-ray techniques and mechanical testing. However, all these techniques are mostly conducted ex-situ and one only observes the resulting changes but not on the same sample or same location making interpretations sometimes challenging. Following the defect development has been achieved utilizing tools like the Intermediate Voltage Electron Microscopy (IVEM) facility or other similar in-situ irradiation facilities [1]. Modern He ion beam microscopes also allow direct implantation of He in samples on a very localized level allowing localized He implantation on specific regions of interest on the same TEM foil [2]. While these are a very useful tools the damage evolution has only been followed on TEM foils and no mechanical data has been extracted from the irradiated samples. Ideally one would be able to extract a change in mechanical property associated with the microstructural changes. Recent advantages in nanomechanical testing and in-situ ion beam irradiation have the potential to obtain both microstructural data as well as mechanical property data on the same sample. This work attempts to perform the entire study in-situ spanning from He implantation to displacement damage and subsequent mechanical property evaluation to follow the defect development from the beginning to its implications for mechanical properties. It is anticipated that this procedure developed here will allow to establish a process producing data for model benchmarking bridging the gap between modeling and experiments on the same length-scale.