摘要
Mo基合金作为先进核反应堆的包壳等堆芯结构材料的候选材料,其高温抗拉强度仍是制约其在先进核反应堆领域应用的瓶颈之一。本文通过收集Mo基合金的成分及抗拉强度等数据,并对数据进行相关性分析及重要属性的筛选,采用贝叶斯优化卷积神经网络的回归模型,构建了Ti、Zr、C、N等关键成分与Mo基合金抗拉强度的关联性,获得针对Mo基合金高温抗拉强度的性能预测。结合相关性分析以及建模预测分析得出:Ti、Zr、Re、La_(2)O_(3)有利于Mo基合金高温抗拉强度的提升;N和Si不利于Mo基合金高温抗拉强度的提升。后续通过分析双元素或者三元素组合共同影响抗拉强度变化,可以得出在特定温度条件下,Mo基合金抗拉强度达到一定范围的成分设计方案。
Core structural materials such as cladding in advanced nuclear reactors face harsh service environments such as high-temperature,and their comprehensive performance is one of the bottlenecks restricting the development of advanced reactors.Mo and its alloys are key candidate,but pure Mo suffers from a lack of high-temperature strength.Mo-based alloys are superior to pure Mo in terms of mechanical properties.Research found that the addition of a certain amount of Re,W,Ti,Zr,C and other elements will enhance the high-temperature strength of Mo-based alloys.The effects produced by the ingredients are very complex and cannot be found in great detail by testing.Now materials genetic engineering,based on the prediction of data-driven material properties and optimization,shortening the cycle of materials research and development,and thus speed up the process of the entire field.Thus a CNN regression model based on Bayesian optimization was constructed based on the data obtained from literature research and preliminary experiment.The collected Mo-based alloy dataset contained 220 samples and 38 compositions as well as test temperature characteristics of tensile with the target variable being tensile strength.Found that the Re,C,O,N,Ti,Zr,Nb,La,W,Hf,Ta,Si,and Ni have a higher weight on the target value,and C,Ti,and Zr positively affect the tensile strength.Re,O,N,La,W,Hf,Ta,Si,and N have a negative tendency to correlate the characteristics with the tensile strength.Using the R 2 value as an evaluation metric,the model is able to achieve 0.8326.Combined with correlation analysis and modeling prediction analysis,it is concluded that Ti,Zr,Re and La_(2)O_(3) are beneficial to the enhancement of high-temperature tensile strength of Mo-based alloy.N and Si are not conducive to the enhancement of tensile strength of Mo-based alloy at high-temperature.According to the correlation analysis conclusion,the effect of the coupling of these compositions C-Zr,Nb-Hf-Ta,Ni-Si,N-O and Zr-Ti on the tensile properties of the materials at hi
作者
包佳明
白冰
柯艺璇
高进
贺新福
杨文
BAO Jiaming;BAI Bing;KE Yixuan;GAO Jin;HE Xinfu;YANG Wen(China Institute of Atomic Energy,Beijing 102413,China)
出处
《原子能科学技术》
EI
CAS
CSCD
北大核心
2024年第S01期121-130,共10页
Atomic Energy Science and Technology
基金
中核集团“青年英才”项目
国家自然科学基金联合基金(U2341260)
中国原子能科学研究院院长基金(YZ232602000702)。
关键词
Mo基合金
贝叶斯优化
力学性能
材料设计
Mo-based alloy
Bayesian optimization
mechanical property
material design
