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Quantification of oxide particle composition in model oxide dispersion strengthened steel alloys

机译:氧化物颗粒组合物在氧化物分散中加强钢合金的定量

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摘要

Oxide dispersion strengthened ferritic steels (ODS) are being considered for structural components of future designs of fission and fusion reactors because of their impressive high-temperature mechanical properties and resistance to radiation damage, both of which arise from the nanoscale oxide particles they contain. Because of the critical importance of these nanoscale phases, significant research activity has been dedicated to analysing their precise size, shape and composition (Odette et al., Annu. Rev. Mater. Res. 38 (2008) 471-503 [1]; Miller et al., Mater. Sci. Technol. 29(10) (2013) 1174-1178 [2]). As part of a project to develop new fuel cladding alloys in India, model ODS alloys have been produced with the compositions, Fe-0.3Y2O3, Fe-0.2Ti-0.3Y2O3 and Fe-14Cr-0.2Ti-0.3Y2O3. The oxide particles in these three model alloys have been studied by APT in their as-received state and following ion irradiation (as a proxy for neutron irradiation) at various temperatures. In order to adequately quantify the composition of the oxide clusters, several difficulties must be managed, including issues relating to the chemical identification (ranging and variable peak-overlaps); trajectory aberrations and chemical structure; and particle sizing. This paper presents how these issues can be addressed by the application of bespoke data analysis tools and correlative microscopy. A discussion follows concerning the achievable precision in these measurements, with reference to the fundamental limiting factors.
机译:由于其令人印象深刻的高温机械性能和对辐射损伤的抗性,因此考虑了氧化物分散钢(ODS)的结构部件被认为是裂变和融合反应器的未来设计的结构部件,这两者都来自它们含有的纳米级氧化物颗粒。由于这些纳米级阶段的关键重要性,显着的研究活动致力于分析其精确的尺寸,形状和组成(Odette等,Annu。Rev. Mater.Res.38(2008)471-503 [1]; Miller等人。,Mater。SCI。技术。29(10)(2013)1174-1178 [2])。作为开发印度新燃料包层合金的项目的一部分,模型ODS合金已经用组合物,Fe-0.3毫2O3,Fe-0.2TI-0.3Y2O3和Fe-14Cr-0.2TI-0.3Y2O3生产。已经通过APT在其接收状态下和在各种温度下的离子照射(作为中子辐射的代理)进行了这三种模型合金中的氧化物颗粒。为了充分量化氧化物簇的组成,必须管理几个困难,包括与化学识别(测距和可变峰值重叠)有关的问题;轨迹像差和化学结构;和粒子尺寸。本文介绍了如何通过应用定制数据分析工具和相关显微镜来解决这些问题。关于这些测量中可实现的精度的讨论,参考基本限制因素。

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