A prediction model of brittle crack arrest toughness in TMCP heavy plates

被引:1
|
作者
Kang, Jian [1 ]
Liu, Dongsheng [1 ]
Wang, Yunkai [1 ]
Yuan, Guo [1 ]
Wang, Guodong [1 ]
机构
[1] Northeastern Univ, State Key Lab Rolling & Automat, Shenyang 110819, Liaoning, Peoples R China
来源
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T | 2024年 / 32卷
基金
中国国家自然科学基金;
关键词
BCA heavy steel plate; Thermo-mechanical control processes (TMCP); Double tension test; Crack-arrest toughness; NDTT; Prediction model; TRANSITION-TEMPERATURE REGION; GRAIN-SIZE; FRACTURE-TOUGHNESS; PROPAGATION; IMPROVEMENT; RESISTANCE; STEELS; X70;
D O I
10.1016/j.jmrt.2024.08.039
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Micro-alloyed low carbon MnCrNiCuMo steels were proposed to produce heavy plates with a maximum thickness of 100 mm. An integrated industrial route including a thermo-mechanical control process (TMCP) based on a study on continuous cooling transformation was applied in industrial production. Comprehensive mechanical properties tests including the measurement on resistance against crack initiation using crack tip opening displacement (CTOD) approach were conducted. Large scale wide-plate temperature gradient double tension (DT) technique was employed to evaluate the crack arrest toughness Kca in the heavy plates under different conditions. Nil-ductility transition temperature (NDTT) was also tested across the entire thickness section of the plates. The results showed that heavy steel plates were qualified being brittle crack arrest (BCA) products at EH47 grade with yield strength high than 460 MPa. High crack initiation toughness was exhibited by both Charpy-V notch impact property and CTOD values. Crack arrest toughness at -10 degrees C greater than 253 MPa root m was achieved in a plate even with thickness of 100 mm. The mean value of crack arrest toughness at different temperature measured by the DT approach can be indexed by the highest NDTT in the interior section of the heavy plates leading to an empirical prediction model. Further, fracture mechanics based master curve approach was used to statistically predict crack arrest toughness distribution over a wide range of temperatures showing improved predictability over the empirical model and an existing model in the literature.
引用
收藏
页码:2422 / 2432
页数:11
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