ISSN:1003-8620

CN:42-1243/TF

Governed by: CITIC Pacific Special Steel Group Co., LTD

Sponsored by: Daye Special Steel Co., LTD.

Special Steel ›› 2016, Vol. 37 ›› Issue (6): 9-12.

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Numerical Simulation on Critical Cooling Rate of Formation of Martensite in High Carbon Steel Rod Coil

Ji Yuan, Li Liang, Lu Mingang, Lan Peng ,Zhang Jiaquan   

  1. School of Metallurgical and Ecological Engineering, University of Science and Technology, Beijing 100083
  • Received:2016-06-10 Online:2016-12-01 Published:2022-07-25

高碳钢盘条马氏体形成临界冷却速率的数值模拟

纪元,李亮 ,陆民刚 ,兰鹏, 张家泉   

  1. 北京科技大学冶金与生态工程学院,北京100083
  • 作者简介:纪元(1991-),男,博士研究生(北京科技大学),2012年北京科技大学(本科)毕业,连铸坯质量、过程控制工艺研究。

Abstract: By using JMatPro software and according to the 0. 70C steel coil (/%:0. 67C, 0. 17Si, 0. 50Mn, 0. 010P, 0. 010S, 0. 10Cr) produced at steel works, the effect of C (0. 65% ~ 1. 00% ), Si (0. 20% ~ 0. 55% ), Mn(0. 50% ~ 1. 45% , Cr (0. 10% ~0. 75% ), S (0. 010%~0. 070% ) , P (0. 010%~0. 060% ) and austenite grain ratting (5. 0 ~ 8. 0) in high carbon steel rod coil on martensite formation critical cooling rate (CCRMf) has been simulate to get the predict high carbon steel CCRMf  expression: CCRMf/(℃·s-1 ) =4. 088 -9. 98 x [C]/% -3.58 x [Si]/% -5.12[Mn]/% - 0. 001 [P]/% +23. 45 x [S]/% -7.42 X [Cr]/% +2 x Gm, Gm-austenite grain size rating. Results show that with increasing the C, Mn, Si and Cr content in steel the CCRMf decreases, with increasing the S content in steel and original austenite grain size rating the CCRMf increases and the effect of P on CCRMf is minor; the effect of C and Mn on CCRMf  is largest; and the measure value of martensite formation critical cooling rate ( CCRMf) of the 70C steel is 8. 51 ℃/s, and its calculated value is 8. 79℃/s with error 0. 28 ℃/s. It is suggested that during high carbon steel casting process the key point is to control C and Mn segregation and to fine austenite grain size during rolling process for decrease of formation of martensite structure.

摘要: 通过JMatPro软件和根据钢厂生产的70钢(/%:0.67C,0.17Si,0.50Mn,0.010P,0.010S,0.10Cr)盘条,模拟对比高碳钢盘条中C(0.65%~1.00%),Si(0.20%~0.55%),Mn(0.50%~1.45%),Cr(0.10%~0.75%),S(0.010%~0.070%),P(0.010%~0.060%)和奥氏体晶粒度级别(5.0~8.0)对马氏体形成临界冷却速率(CCRMf)的影响,建立了预测高碳钢CCRMf的表达式:CCRMf/(℃·s-1)=4.088-9.88×[C]/%-3.58×[Si]/%-5.12×[Mn]/%-0.001×[P]/%+23.45×[S]/%-7.42×[Cr]/%+2×Gm,Gm-奥氏体晶粒度。结果表明,CCRMf随C、Mn、Si、Cr含量的增大而减小,随S含量和原奥氏体晶粒度的增大而增大,P对CCRMf几乎没有影响;C和Mn对CCRMf的影响最大;70钢马氏体临界冷却速率实测值8.51℃/s,计算值8.79℃/s,误差为0.28℃/s。建议高碳钢连铸过程应重点控制C、Mn偏析,并在轧制过程细化奥氏体晶粒尺寸,以减少马氏体组织的形成。 

关键词: 高碳钢盘条, 马氏体, 临界冷却速率, JMatPro软件, 数值模拟