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《工程(英文)》 >> 2020年 第6卷 第6期 doi: 10.1016/j.eng.2020.05.005

高通量统计映射表征技术研究进展及其应用

a Beijing Advanced Innovation Center for Materials Genome Engineering, Central Iron & Steel Research Institute, Beijing 100081, China

Beijing Key Laboratory of Metal Materials Characterization, Central Iron & Steel Research Institute, Beijing 100081, China

c NCS Testing Technology Co., Ltd., Beijing 100081, China

收稿日期: 2019-03-26 修回日期: 2019-11-18 录用日期: 2020-05-01 发布日期: 2020-05-16

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摘要

实际材料是非均匀的、多元的、复杂的,任何材料在特定尺度下都不可能是绝对均匀的或者绝对规则的,可视为“自然芯片”,一个材料每个位置上的成分、组织结构和性能都存在着微小差异, 而这种微小差异的组合形成了材料整体性能,本文综述了基于材料非均匀性本质的高通量统计映射表征技术的研究及应用进展。高通量统计映射表征技术采用一系列跨尺度快速表征技术,从宏观到微观逐级分析,快速获取实际大尺寸试样每个位置上的成分、组织结构和各种性能参量的数据集;通过准确的位置坐标信息,将这些数据集按照点对点的对应关系,形成组合映射点阵数据仓库;根据材料研发的设计需求,从数据仓库中筛选出符合要求的目标区间内的映射数据集;通过对目标区间内映射数据集的统计解析,筛查出接近设计需求的映射数据集,再经过反复验证最终获得反映材料性能的基本单元(组);通过确定的工艺优化指向参量,验证这些基本单元(组)在介观尺度的组装,最终建立微观-介观-宏观-常规试样-构件跨尺度的成分-组织结构-特性间的量化相关性。高通量统计映射表征技术已在各种钢铁、高温合金、镀层板、铁硅合金等材料体系得到应用, 有效地指导了工艺的优化及材料的改性。

补充材料

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