Kinetic Monte Carlo studies of formation of radiation-induced phases in bainitic and ferritic/martensitic steels

Monica Chiapetto, Lorenzo Malerba

    Research output

    Abstract

    We developed object kinetic Monte Carlo (OKMC) models that proved able to predict the nanostructure evolution under neutron irradiation in both RPV and F/M steels. These were modelled, respectively, in terms of Fe-C-MnNi and Fe-C-Cr alloys, but the model was also validated against data obtained on a real RPV steel coming from the surveillance programme of the Ringhals Swedish nuclear power plant. The effects of the substitutional solutes of interest were introduced in our OKMC model under the simplifying assumptions of ‘‘grey alloy’’ scheme, i.e. they were not explicitly introduced in the model, which therefore cannot describe their redistribution under irradiation, but their effect was translated into modified parameters for the mobility of defect clusters. The possible origin of low temperature radiation hardening (and subsequent embrittlement) was also investigated and the models strongly supported the hypothesis that solute clusters segregate on immobile interstitial loops, which act therefore as heterogeneous nucleation sites for the formation of the NiSiPCr- and MnNi-enriched cluster populations experimentally, as observed with atom probe tomography in, respectively, F/M and RPV steels. In other words, the so-called matrix damage would be intimately associated with solute atom clusters and precipitates which increase their stability and reduce their mobility: their ultimate effect is reflected in an alteration of the macroscopic mechanical properties of the investigated alloys. Throughout all our work the obtained results have been systematically validated on existing experimental data, in a process of continuous improvement of the physical hypotheses adopted.
    Original languageEnglish
    Awarding Institution
    • Université de Lille
    Supervisors/Advisors
    • Malerba, Lorenzo, SCK CEN Mentor
    • Becquart, C. S., Supervisor, External person
    Date of Award27 Sep 2017
    StatePublished - 27 Sep 2017

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