4.6 Article

Effect of Production Bias on Radiation-Induced Segregation in Ni-Cr Alloys

Journal

MATERIALS
Volume 16, Issue 23, Pages -

Publisher

MDPI
DOI: 10.3390/ma16237475

Keywords

Radiation-Induced Segregation (RIS); production bias; radiation damage

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This study presents a comprehensive investigation into the Radiation-Induced Segregation (RIS) phenomenon in Ni-Cr alloys. The influence of various factors on RIS, such as the surface's absorption efficiency, grain size, production bias, dose rate, temperature, and sink density, was systematically studied. The findings reveal the significant impact of production bias on the interaction between point defects and grain boundaries/surfaces, highlighting its crucial role in RIS processes. High temperatures and sink density were found to suppress the severity of RIS.
We present an in-depth investigation into the Radiation-Induced Segregation (RIS) phenomenon in Ni-Cr alloys. All the pivotal factors affecting RIS such as surface's absorption efficiency, grain size, production bias, dose rate, temperature, and sink density were systematically studied. Through comprehensive simulations, the individual and collective impacts of these factors were analyzed, enabling a refined understanding of RIS. A notable finding was the significant influence of production bias on point defects' interactions with grain boundaries/surfaces, thereby playing a crucial role in RIS processes. Production bias alters the neutrality of these interactions, leading to a preferential absorption of one type of point defect by the boundary and consequent establishment of distinct surface-mediated patterns of point defects. These spatial patterns further result in non-monotonic spatial profiles of solute atoms near surfaces/grain boundaries, corroborated by experimental observations. In particular, a positive production bias, signifying a higher production rate of vacancies over interstitials, drives more Cr depletion at the grain boundary. Moreover, a temperature-dependent production bias must be considered to recover the experimentally reported dependence of RIS on temperature. The severity of radiation damage and RIS becomes more pronounced with increased production bias, dose rate, and grain size, while high temperatures or sink density suppress the RIS severity. Model predictions were validated against experimental data, showcasing robust qualitative and quantitative agreements. The findings pave the way for further exploration of these spatial dependencies in subsequent studies, aiming to augment the comprehension and predictability of RIS processes in alloys.

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