典型文献
Thermodynamic prediction of martensitic transformation temperature in Fe-C-X(X=Ni,Mn,Si,Cr)systems with dilatational coefficient model
文献摘要：
Martensitic transformation is significant to strengthen steels,but its thermodynamic prediction is re-stricted to simple systems due to lacking multicomponent interaction parameters.The driving forces of martensitic transformation can be divided into chemical and non-chemical driving forces.The magnetic parameters are carefully optimized because it affects the magnetic Gibbs free energy of austenite and ferrite,and have big impact on the chemical driving force.The dilatational strain energy provides ma-jor contribution to non-chemical driving force,thus the integrated-models for dilatational coefficient are constructed in a wide composition and temperature range based on the experimental dilatational data.It expands the scope of application of thermodynamic model and improved prediction accuracy of marten-sitic transformation temperature(Ms).The prediction error reaches 5.6％for Fe-C-X(X=Ni,Mn,Si,Cr)and 6.5％for Fe-C-Mn-Si-X(X=Cr,Ni)steels.
文献关键词：
中图分类号：
作者姓名：
Hongcan Chen;Wei Xu;Qun Luo;Qian Li;Yu Zhang;Jingjing Wang;Kuo-Chih Chou
作者机构：
State Key Laboratory of Advanced Special Steel&Shanghai Key Laboratory of Advanced Ferrometallurgy&School of Materials Science and Engineering,Shanghai University,Shanghai 200444,China;State Key Laboratory of Rolling and Automation,Northeastern University,Shenyang 110819,China;National Engineering Research Center for Magnesium Alloy,Chongqing University,Chongqing 400044,China;Ansteel Beijing Research Institute Co.,Ltd,Beijing 102211,China
文献出处：
引用格式：
[1]Hongcan Chen;Wei Xu;Qun Luo;Qian Li;Yu Zhang;Jingjing Wang;Kuo-Chih Chou-.Thermodynamic prediction of martensitic transformation temperature in Fe-C-X(X=Ni,Mn,Si,Cr)systems with dilatational coefficient model)[J].材料科学技术（英文版）,2022(17):291-300
A类：
dilatational,stricted,marten,sitic
B类：
Thermodynamic,prediction,martensitic,transformation,temperature,Mn,Si,systems,coefficient,Martensitic,is,significant,strengthen,steels,its,thermodynamic,simple,due,lacking,multicomponent,interaction,parameters,driving,forces,divided,into,chemical,magnetic,carefully,optimized,because,affects,Gibbs,free,energy,austenite,ferrite,have,big,impact,strain,provides,jor,contribution,thus,integrated,models,constructed,wide,composition,range,experimental,data,It,expands,scope,application,improved,accuracy,Ms,error,reaches
AB值：
0.465945
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