Controlling the content of athermal martensite and retained austenite is important to improving the mechanical properties of high-strength steels,but a mechanism for the accurate description of martensitic transformat...Controlling the content of athermal martensite and retained austenite is important to improving the mechanical properties of high-strength steels,but a mechanism for the accurate description of martensitic transformation during the cooling process must be addressed.At present,frequently used semi-empirical kinetics models suffer from huge errors at the beginning of transformation,and most of them fail to exhibit the sigmoidal shape characteristic of transformation curves.To describe the martensitic transformation process accurately,based on the Magee model,we introduced the changes in the nucleation activation energy of martensite with temperature,which led to the varying nucleation rates of this model during martensitic transformation.According to the calculation results,the relative error of the modified model for the martensitic transformation kinetics curves of Fe-C-X(X = Ni,Cr,Mn,Si) alloys reached 9.5% compared with those measured via the thermal expansion method.The relative error was approximately reduced by two-thirds compared with that of the Magee model.The incorporation of nucleation activation energy into the kinetics model contributes to the improvement of its precision.展开更多
Martensitic transformation is significant to strengthen steels,but its thermodynamic prediction is restricted to simple systems due to lacking multicomponent interaction parameters.The driving forces of martensitic tr...Martensitic transformation is significant to strengthen steels,but its thermodynamic prediction is restricted 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 major 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 martensitic transformation temperature(M_(s)).The prediction error reaches 5.6%for Fe-C-X(X=Ni,Mn,Si,Cr)and6.5%for Fe-C-Mn-Si-X(X=Cr,Ni)steels.展开更多
以聚吡咯(PVP K60)为表面活性剂和碳源,采用流变相法合成了x Li Fe PO4·y Li3V2(PO4)3/C正极材料样品。利用扫描电子显微镜(SEM)、X射线衍射仪(XRD)对样品形貌和结构进行了测试;采用电池测试仪和电化学工作站对样品电化学性能进行...以聚吡咯(PVP K60)为表面活性剂和碳源,采用流变相法合成了x Li Fe PO4·y Li3V2(PO4)3/C正极材料样品。利用扫描电子显微镜(SEM)、X射线衍射仪(XRD)对样品形貌和结构进行了测试;采用电池测试仪和电化学工作站对样品电化学性能进行了测试,分析了不同复合比(x:y)对其结构和电化学性能的影响。研究表明:复合材料中存在两相复合与元素掺杂两种效应;当复合比为5∶1时材料的电化学性能最优,在0.1和10 C倍率下放电容量分别达到162.7和104.6 m Ah·g-1,且具有良好的循环稳定性。展开更多
In the present paper, a numerical modeling was developed to simulate the growth kinetics of ferrite transformed from austenite in Fe-C-∑X （X denotes substitution elements, such as Mn, Ni, Cr etc.） steels by solving...In the present paper, a numerical modeling was developed to simulate the growth kinetics of ferrite transformed from austenite in Fe-C-∑X （X denotes substitution elements, such as Mn, Ni, Cr etc.） steels by solving the diffusion equation using finite difference method （FDM）. Coupled with the kinetic modeling, thermodynamic calculations were carried out to determine the γ/α phase equilibrium conditions using a para-equilibrium （PE） model. The dissipation of free energy for γ→α phase transformation due to the so-called solute drag effect （SDE） was taken into account in the thermodynamic modeling. With this modeling, simulations on the growth kinetics of ferrite in the steels containing austenite-stabilizing and ferrite-stabilizing elements （such as Ni, Mn and Si, Cr, respectively） were performed, which indicates that it deviates from the parabolic growth rate law after the initial stage of transformation. The results were compared with the experimental values given by Bradley and Aaronson, showing that this model has a reasonably good accuracy to predict the growth kinetics of ferrite.展开更多
基金financially supported by the National Natural Science Foundation of China(No.U2102212)the Shanghai Rising-Star Program(No.21QA1403200)。
文摘Controlling the content of athermal martensite and retained austenite is important to improving the mechanical properties of high-strength steels,but a mechanism for the accurate description of martensitic transformation during the cooling process must be addressed.At present,frequently used semi-empirical kinetics models suffer from huge errors at the beginning of transformation,and most of them fail to exhibit the sigmoidal shape characteristic of transformation curves.To describe the martensitic transformation process accurately,based on the Magee model,we introduced the changes in the nucleation activation energy of martensite with temperature,which led to the varying nucleation rates of this model during martensitic transformation.According to the calculation results,the relative error of the modified model for the martensitic transformation kinetics curves of Fe-C-X(X = Ni,Cr,Mn,Si) alloys reached 9.5% compared with those measured via the thermal expansion method.The relative error was approximately reduced by two-thirds compared with that of the Magee model.The incorporation of nucleation activation energy into the kinetics model contributes to the improvement of its precision.
基金financially supported by the National Natural Science Foundation of China(Nos.U1808208 and 51734002)the Independent Research and Development Project of State Key Laboratory of Advanced Special Steel,Shanghai Key Laboratory of Advanced Ferrometallurgy,Shanghai University(No.SKLASS 2020Z01)the Science and Technology Commission of Shanghai Municipality(No.19DZ2270200)。
文摘Martensitic transformation is significant to strengthen steels,but its thermodynamic prediction is restricted 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 major 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 martensitic transformation temperature(M_(s)).The prediction error reaches 5.6%for Fe-C-X(X=Ni,Mn,Si,Cr)and6.5%for Fe-C-Mn-Si-X(X=Cr,Ni)steels.
文摘以聚吡咯(PVP K60)为表面活性剂和碳源,采用流变相法合成了x Li Fe PO4·y Li3V2(PO4)3/C正极材料样品。利用扫描电子显微镜(SEM)、X射线衍射仪(XRD)对样品形貌和结构进行了测试;采用电池测试仪和电化学工作站对样品电化学性能进行了测试,分析了不同复合比(x:y)对其结构和电化学性能的影响。研究表明:复合材料中存在两相复合与元素掺杂两种效应;当复合比为5∶1时材料的电化学性能最优,在0.1和10 C倍率下放电容量分别达到162.7和104.6 m Ah·g-1,且具有良好的循环稳定性。
基金supported by the National Natural Sci-ence Foundation of China(50474086)the program for New Century Talents in University(NECT)the Ministry of Education,China.
文摘In the present paper, a numerical modeling was developed to simulate the growth kinetics of ferrite transformed from austenite in Fe-C-∑X （X denotes substitution elements, such as Mn, Ni, Cr etc.） steels by solving the diffusion equation using finite difference method （FDM）. Coupled with the kinetic modeling, thermodynamic calculations were carried out to determine the γ/α phase equilibrium conditions using a para-equilibrium （PE） model. The dissipation of free energy for γ→α phase transformation due to the so-called solute drag effect （SDE） was taken into account in the thermodynamic modeling. With this modeling, simulations on the growth kinetics of ferrite in the steels containing austenite-stabilizing and ferrite-stabilizing elements （such as Ni, Mn and Si, Cr, respectively） were performed, which indicates that it deviates from the parabolic growth rate law after the initial stage of transformation. The results were compared with the experimental values given by Bradley and Aaronson, showing that this model has a reasonably good accuracy to predict the growth kinetics of ferrite.
