Temperature and Strain Rate Dependence on the Tensile Mechanical Properties, Constitutive Equations, and Fracture Mechanisms of MarBN Steel

Author:

Jiang Yunqing12,Zou Tongfei12,Liu Meng12,Cai Yifan12,Wang Quanyi12,Wang Yunru12,Pei Yubing3,Zhang Hong12ORCID,Liu Yongjie12,Wang Qingyuan124

Affiliation:

1. Failure Mechanics and Engineering Disaster Prevention Key Laboratory of Sichuan Province, College of Architecture and Environment, Sichuan University, Chengdu 610065, China

2. Key Laboratory of Deep Underground Science and Engineering, Ministry of Education, Sichuan University, Chengdu 610065, China

3. State Key Laboratory of Long-Life High Temperature Materials, Dongfang Turbine Co., Ltd., Deyang 618000, China

4. School of Architecture and Civil Engineering, Chengdu University, Chengdu 610106, China

Abstract

The effect of strain rate and temperature on the thermomechanical behavior and microstructure of MarBN steel is studied with the strain rates of 5 × 10−3 and 5 × 10−5 s−1 from room temperature (RT) to 630 °C. At high strain rates of 5 × 10−3 s−1, the Holloman and Ludwigson equations can better predict tensile plastic properties. In contrast, under low strain rates of 5 × 10−5 s−1, coupling of the Voce and Ludwigson equations appears to predict the flow relationship at RT, 430, and 630 °C. However, the deformation microstructures have the same evolution behavior under strain rates and temperatures. Geometrically necessary dislocations appear along the grain boundaries and increase the dislocation density, which results in the formation of the low-angle grain boundaries and a decrease in the number of twinning. The strengthening sources of MarBN steel include grain boundary strengthening, dislocation interactions, and multiplication. The fitted R2 values of these models (JC, KHL, PB, VA, ZA) to plastic flow stress at 5 × 10−5 s−1 are greater than 5 × 10−3 s−1 for MarBN steel. Due to the flexibility and minimum fitting parameters, the phenomenological models of JC (RT and 430 °C) and KHL (630 °C) give the best prediction accuracy under both strain rates.

Funder

The work was supported by the National Natural Science Research Funds of China

Publisher

MDPI AG

Subject

General Materials Science

Reference64 articles.

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