典型文献
Efficient alloy design of Sr-modified A356 alloys driven by computational thermodynamics and machine learning
文献摘要：
A356 alloys are widely used in industries due to their excellent comprehensive performance.Sr is usually added in A356 alloys to improve their mechanical properties.There have been various experimental re-ports on the optimal additional amount of Sr in A356 alloys,but their results are inevitably inconsistent.In this paper,a combination of computational thermodynamic and machine learning approaches was em-ployed to determine the optimal Sr content in A356 alloys with the best mechanical properties.First,a self-consistent thermodynamic database of quaternary Al-Si-Mg-Sr system was established by means of the Calculation of PHAse Diagram technique supported by key experiments.Second,the fractions for so-lidified phase/structures of A356-xSr alloys predicted by Scheil simulation,together with the measured mechanical properties were set as the input dataset in the machine learning model to train the rela-tion of"composition-microstructure-properties".The optimal addition of Sr in A356 alloy was designed as 0.005 wt.％and validated by key experiments.Furthermore,such a combinatorial approach can help to understand the strengthening/toughening mechanisms of Sr-modified A356 alloys.It is also anticipated that the present approach may provide a feasible means for efficient and accurate design of various cast-ing alloys and understanding the alloy strengthening/toughening mechanisms.
文献关键词：
中图分类号：
作者姓名：
Wang Yi;Guangchen Liu;Zhao Lu;Jianbao Gao;Lijun Zhang
作者机构：
State Key Laboratory of Powder Metallurgy,Central South University,Changsha 410083 China;School of Materials Science and Engineering,Guangxi Key Laboratory of Information Materials,Guilin University of Electronic Technology,Guilin 541004,China
文献出处：
引用格式：
[1]Wang Yi;Guangchen Liu;Zhao Lu;Jianbao Gao;Lijun Zhang-.Efficient alloy design of Sr-modified A356 alloys driven by computational thermodynamics and machine learning)[J].材料科学技术（英文版）,2022(17):277-290
A类：
PHAse,lidified,xSr
B类：
Efficient,modified,A356,alloys,driven,by,computational,thermodynamics,machine,learning,are,widely,used,industries,due,their,excellent,comprehensive,performance,usually,added,improve,mechanical,properties,There,have,been,various,experimental,ports,optimal,additional,amount,but,results,inevitably,inconsistent,In,this,paper,combination,approaches,was,ployed,determine,content,best,First,self,database,quaternary,Si,Mg,system,established,means,Calculation,Diagram,technique,supported,key,experiments,Second,fractions,phase,structures,predicted,Scheil,simulation,together,measured,were,input,dataset,model,train,rela,composition,microstructure,designed,wt,validated,Furthermore,such,combinatorial,can,help,strengthening,toughening,mechanisms,It,also,anticipated,that,present,may,provide,feasible,efficient,accurate,cast,understanding
AB值：
0.50441
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
