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Thermodynamic and kinetic modeling of Mn-Ni-Si precipitates in low-Cu reactor pressure vessel steels

机译:低Cu中mn-Ni-si沉淀的热力学和动力学模拟   反应堆压力容器钢

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摘要

Formation of large volume fractions of Mn-Ni-Si precipitates (MNSPs) causesexcess irradiation embrittlement of reactor pressure vessel (RPV) steels athigh, extended-life fluences. Thus, a new and unique, semi-empirical clusterdynamics model was developed to study the evolution of MNSPs in low- Cu RPVsteels. The model is based on CALPHAD thermodynamics and radiation enhanceddiffusion ki- netics. The thermodynamics dictates the compositional andtemperature dependence of the free energy reductions that drive precipitation.The model treats both homogeneous and heterogeneous nucleation, where thelatter occurs on cascade damage, like dislocation loops. The model has onlyfour adjustable parameters that were fit to an atom probe tomography (APT)database. The model predictions are in semi-quantitative agreement withsystematic Mn, Ni and Si composition variations in alloys character- ized byAPT, including a sensitivity to local tip-to-tip variations even in the samesteel. The model predicts that heterogeneous nucleation plays a critical rolein MNSP formation in lower alloy Ni contents. Single variable assessments ofcompositional effects show that Ni plays a dominant role, while even smallvariations in irradiation temperature can have a large effect on theMNSPevolution. Within typical RPV steel ranges, Mn and Si have smaller effects. Thedelayed but then rapid growth of MNSPs to large volume fractions at highfluence is well predicted by the model. For purposes of illustration, theeffect of MNSPs on transition temperature shifts are presented based onwell-established microstructure-prop- erty and property-property models.
机译:大体积分数的Mn-Ni-Si沉淀物(MNSPs)的形成导致反应堆压力容器(RPV)钢在高,长寿命注量下的过度辐照脆化。因此,建立了一个新的,独特的,半经验的簇动力学模型来研究低铜RPV钢中MNSP的演化。该模型基于CALPHAD热力学和辐射增强扩散动力学。热力学决定了驱动降水的自由能减少的成分和温度依赖性。该模型同时处理均相和异相成核,后者在级联损伤时发生,如位错环。该模型只有四个可调参数,适合于原子探针断层扫描(APT)数据库。模型的预测与以APT为特征的合金中系统的Mn,Ni和Si成分变化具有半定量的一致性,包括即使在同一钢中也对局部尖端间的变化敏感。该模型预测,异相形核在较低的Ni含量中在MNSP形成中起关键作用。对组成效应的单变量评估表明,镍起着主导作用,而即使辐射温度的微小变化也可能对MNSP的演变产生很大的影响。在典型的RPV钢范围内,Mn和Si的影响较小。该模型很好地预测了MNSP在高通量下延迟但随后快速增长为大体积馏分的趋势。为了说明的目的,基于公认的微观结构特性和特性特性模型,给出了MNSP对转变温度变化的影响。

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