Microstructural evolution of dynamic recrystallization in hot-compressed nickel-based Superalloys: Optimization of DRX kinetics, and multiscale FEM coupled simulation

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Authors: Yang Zhang, Jinhui Wang, Zifeng Liu, Baizhi Sun, Hongqiang Du, Yongsheng Wei, Yingnan Shi, Xinmei Hou, Yanzhuo Liu
Cited by: 3
References: 50

Abstract

Dynamic recrystallization (DRX) is a key softening mechanism during the high-temperature thermomechanical processing of nickel-based superalloys, profoundly affecting grain refinement, texture evolution, and overall mechanical properties. In this study, hot compression tests were conducted on a newly developed nickel-based superalloy within the temperature range of 1070–1110 °C and strain rates of 0.001–1 s -1 . The true stress–strain curves were corrected for friction and adiabatic heating effects. Based on these corrected data, both a constitutive equation and an Avrami-type kinetics model were established. To more accurately capture the DRX process, the kinetic model was improved into a new form. The improve model is described using a quadratic function, dividing the DRX process into distinct stages, including nucleation, active growth, and gradual saturation, thereby capturing the characteristic “slow–fast–slow” evolution. Correlation coefficient–based comparative analysis indicated that the improve model showed a higher correlation with the experimental data than the traditional Avrami model. Finally, the improve model was implemented into Deform-3D finite element simulations, yielding predictions highly consistent with observed microstructural evolution. The proposed framework provides valuable guidance for the processing design and performance optimization of advanced nickel-based superalloys.

Fields of Study & Subjects

Metallurgy and Material Forming Metal Forming Simulation Techniques Solidification and crystal growth phenomena

Publication details

Journal / source
Journal of Materials Research and Technology
Publisher
Elsevier BV
Volume
40
Pages
4008–4027
Publication date
1 January 2026
Language
EN