利用Gleeble-1500D热模拟机对新型超高强度热冲压用钢22MnB5Nb进行等温单向拉伸实验,研究了其在变形温度为650~950℃,应变速率为0.1,1.0,10s-1下的热变形行为,并采用3种本构分析方法,即基于传统拟合回归方法的Arrhenius型、考虑材料常数应变补偿的Arrhenius型和本工作新提出的基于Quasi-Newton BFGS算法的Arrhenius型本构方程来描述22MnB5Nb钢的热变形行为.结果表明:22MnB5Nb钢表现出典型的加工硬化和动态回复软化行为,变形温度与应变速率均对其流变应力有较大影响;3种方程均可以准确预测实验钢的峰值流变应力,其中,Quasi-Newton BFGS算法具有可一次性求解所有材料参数、求解步骤简单和预测精度最高(R=0.99578,Re=11.03MPa,E=2.48%)的特点,考虑材料常数应变补偿的Arrhenius型本构方程预测精度相对较低,但能直接预测不同变形条件下的流变应力曲线且可以较好地预测变形过程中的加工硬化效应、动态回复软化效应和应变速率强化效应.
参考文献
[1] | H. Karbasian;A. E. Tekkaya.A review on hot stamping[J].Journal of Materials Processing Technology,201015(15):2103-2118. |
[2] | Naderi M;Durrenberger L;Molinari A;Bleck W.Constitutive relationships for 22MnB5 boron steel deformed isothermally at high temperatures[J].Materials Science & Engineering, A. Structural Materials: Properties, Misrostructure and Processing,20081/2(1/2):130-139. |
[3] | Li, H.;He, L.;Zhao, G.;Zhang, L..Constitutive relationships of hot stamping boron steel B1500HS based on the modified Arrhenius and Johnson-Cook model[J].Materials Science & Engineering, A. Structural Materials: Properties, Misrostructure and Processing,2013:330-348. |
[4] | M. Naderi;M. Ketabchi;M. Abbasi;W. Bleck.Analysis of microstructure and mechanical properties of different high strength carbon steels after hot stamping[J].Journal of Materials Processing Technology,20116(6):1117-1125. |
[5] | Zhang, Shiqi;Huang, Yunhua;Sun, Bintang;Liao, Qingliang;Lu, Hongzhou;Jian, Bian;Mohrbacher, Hardy;Zhang, Wei;Guo, Aimin;Zhang, Yue.Effect of Nb on hydrogen-induced delayed fracture in high strength hot stamping steels[J].Materials Science & Engineering, A. Structural Materials: Properties, Misrostructure and Processing,2015:136-143. |
[6] | Dipti Samantaray.Constitutive analysis to predict high-temperature flow stress in modified 9Cr-1Mo(P91) steel[J].Materials & design,20102(2):981-984. |
[7] | Xiao, X.;Liu, G.Q.;Hu, B.F.;Zheng, X.;Wang, L.N.;Chen, S.J.;Ullah, A..A comparative study on Arrhenius-type constitutive equations and artificial neural network model to predict high-temperature deformation behaviour in 12Cr3WV steel[J].Computational Materials Science,2012:227-234. |
[8] | Hong-Ying Li;Ji-Dong Hu;Dong-Dong Wei;Xiao-Feng Wang;Yang-Hua Li.Artificial neural network and constitutive equations to predict the hot deformation behavior of modified 2.25Cr-1Mo steel[J].Materials & design,2012Dec.(Dec.):192-197. |
[9] | 王进;褚忠;张琦.38MnVS6非调质钢两种高温本构模型的对比[J].材料工程,2014(2):81-86. |
[10] | 魏海莲;刘国权;肖翔;张明赫.表观的和基于物理的35Mn2钢奥氏体热变形本构分析[J].金属学报,2013(6):731-738. |
[11] | Mirzadeh, H.;Cabrera, J.M.;Prado, J.M.;Najafizadeh, A..Hot deformation behavior of a medium carbon microalloyed steel[J].Materials Science & Engineering, A. Structural Materials: Properties, Misrostructure and Processing,201110/11(10/11):3876-3882. |
[12] | Meysami, M.;Mousavi, S.A.A.A..Study on the behavior of medium carbon vanadium microalloyed steel by hot compression test[J].Materials Science & Engineering, A. Structural Materials: Properties, Misrostructure and Processing,20117/8(7/8):3049-3055. |
[13] | 郑漫庆;王高潮;喻淼真;徐雪峰.应变速率循环法构建TC4-DT钛合金本构方程[J].材料工程,2014(8):32-35. |
[14] | W. E. LEITHEAD;YUNONG ZHANG.O(N~2)-Operation Approximation of Covariance Matrix Inverse in Gaussian Process Regression Based on Quasi-Netwon BFGS Method[J].Communications in statistics, B. Simulation and computation,20072(2):367-380. |
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