High Strain Rate Hot Deformation of Steels: Measurement and Simulation
Abstract
Local strain rates that occur during hot rolling of steel can range from very small up to rates above 1000 sec-1 and multiple experimental methods are required to develop a material model to predict plastic flow (stress and strain) behavior over this range. A Johnson-Cook model has been developed for 15V38 steel using experimental flow stress results in a temperature range of 1000°C to 1300°C and in a strain rate range of 0.1 s-1 to 30 s-1. In addition, a split Hopkinson pressure bar was modified to measure the stress and strain behavior in a temperature range of 900°C to 1100°C and at strain rates near 1000 s-1. The inclusion of split Hopkinson pressure bar data did not significantly affect the fit of the Johnson-Cook model coefficients at low strain rates; however, it improved the materials model for the intermediate and high strain rate ranges. Examples of finite element analysis (FEA) are shown to illustrate the hot rolling process simulation sensitivity to the applied material model.
Recommended Citation
S. A. Rummel et al., "High Strain Rate Hot Deformation of Steels: Measurement and Simulation," Proceedings of the International Conference on Advances in Product Metallurgy of Long and Forged Products (2015, Vail, CO), Association for Iron & Steel Technology (AIST), Jul 2015.
Meeting Name
International Conference on Advances in Product Metallurgy of Long and Forged Products (2015: Jul. 12-15, Vail, CO)
Department(s)
Materials Science and Engineering
Second Department
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Peaslee Steel Manufacturing Research Center
Keywords and Phrases
Hot Rolling; High Strain Rate; Constitutive Material Model; Rolling Simulation; Split Hopkinson Pressure Bar; Johnson-Cook Model
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 Association for Iron & Steel Technology (AIST), all rights reserved.
Publication Date
15 Jul 2015
Comments
This work was supported by the Peaslee Steel Manufacturing Research Center at Missouri University of Science and Technology.