Dynamic Recrystallization of 0.03Nb-0.15Ti Microalloying Low-Carbon High-Strength Steel

甘晓龙; 韩斌; 汪水泽; 蔡珍; 朱万军

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Dynamic Recrystallization of 0.03Nb-0.15Ti Microalloying Low-Carbon High-Strength Steel

更新时间：2026-01-21

- Dynamic Recrystallization of 0.03Nb-0.15Ti Microalloying Low-Carbon High-Strength Steel
- Special Steel Vol. 36, Issue 5, Pages: 51-54(2015)
- 作者机构：
  
  武汉钢铁(集团)公司研究院,武汉,430080
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：20 April 2015，
  
  Online First：16 August 2022，
  
  Published：16 August 2015
- 稿件说明：
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甘晓龙, 韩斌, 汪水泽, et al. Dynamic Recrystallization of 0.03Nb-0.15Ti Microalloying Low-Carbon High-Strength Steel[J]. Special Steel, 2015, 36(5): 51-54.
DOI：

甘晓龙, 韩斌, 汪水泽, et al. Dynamic Recrystallization of 0.03Nb-0.15Ti Microalloying Low-Carbon High-Strength Steel[J]. Special Steel, 2015, 36(5): 51-54. DOI：

摘要

通过Gleeble 1500热模拟试验机试验研究了Nb-Ti微合金化低碳钢（/%:0.06C

0.22Si

1.80Mn

0.03Nb

0.15Ti

≤0.007N

≤0.002S）10mm带钢在850~1100℃

以应变速率0.1~20.0 s

-1

总变形量75%单道次压缩变形时动态再结晶

由真应力-真应变曲线

结合加工硬化率曲线

得出动态再结晶临界应变0.4~0.7和完全再结晶应变量1.1~1.4。该钢的热变形激活能为618.225 kJ/mol。根据试验结果得到Zener-Hollomon方程和动态再结晶状态图

利用Johnson-Mehl-Avrami（JMA）方程法得到再结晶体积分数实际值

采用Epsilon-P模型对实验数据进行回归

得到试验钢的再结晶动力学模型。

Abstract

The dynamic recrystallization of 10 mm strip of Nb-Ti microalloying low-carbon steel (/% : 0.06C

0.22Si

1.80Mn

0.03Nb

0.15Ti

≤0.007N

≤0.002S) in single pass compression with strain rate 0.1-20.0 s

-1

total deformation 75% at 850 -1100℃ has been tested and studied by using Gleeble 1500 hot simulator. Based on true stress- true strain curves combined work-hardening rate curve it is obtained that the dynamic recrystallization critical strain is 0.4-0.7 and the complete recrystallization strain is 1.1-1.4. The hot deformation activation energy of steel is 618.225 kJ/mol. And based on the Zener-Hollomon equation and dynamic recrystallization status diagram by tested results

it is obtained the dynamic model of recrystallization of test steel by using Johnson-Mehl-Avrami (JMA) equation method to get the r

eal value of recrystallization volume fraction and by using Epsilon-P model to regress on the test data.

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