Relationship between Composition and Tensile Property of ODS Established by Machine Learning

Relationship between Composition and Tensile Property of ODS Established by Machine Learning

论文摘要

<正>More than 300 groups data of ODS alloy were collected,which includes composition,processing,phase structure,tensile test condition and tensile property.According to the reported results of the effect on tensile property,the content of Cr,Y2O3,W,Ti and Al,forming method,forming temperature and time,phase and test temperature were selected as inputs of model for machine learning.

论文目录

文章来源

类型: 期刊论文

作者: BAI Bing,HAN Xu,ZHENG Quan,JIA Lixia,YANG Wen

来源: Annual Report of China Institute of Atomic Energy 2019年00期

年度: 2019

分类: 工程科技Ⅱ辑,信息科技

专业: 核科学技术,自动化技术

单位: Division of Reactor Engineering Technology Research

分类号: TP181;TL341

页码: 129

总页数: 1

文件大小: 273K

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Relationship between Composition and Tensile Property of ODS Established by Machine Learning
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