Microevolution of grain boundary character distribution in Hastelloy C-276 during the annealing process

Zhang, Xiaoyu; Guo, Sheng; Zhong, Jun

doi:10.1016/j.jmrt.2022.03.056

Cited by 8 publications

(1 citation statement)

References 33 publications

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“…Generally, the components of Hastelloy superalloys are machined using hot deformation processes [ 9 , 10 , 11 ]. During hot deformation of Hastelloy C276 alloy, the features of flow behaviors and microstructure changes become complicated [ 12 , 13 ]. Therefore, investigation of the hot deformation behaviors and microstructure evolution of Hastelloy C276 alloy is crucial to precisely control the microstructures and improve the service properties [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Hot Deformation Behavior of Hastelloy C276 Alloy: Microstructural Variation and Constitutive Models

He,

Chen,

Lin

et al. 2023

Materials

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Isothermal deformation experiments of the Hastelloy C276 alloy were executed using the Gleeble-3500 hot simulator at a temperature range of 1000–1150 °C and a strain rate range of 0.01–10 s−1. Microstructural evolution mechanisms were analyzed via transmission electron microscope (TEM) and electron backscatter diffraction (EBSD). Results reveal that the influences of hot compression parameters on the microstructure variation features and flow behaviors of the Hastelloy C276 alloy were significant. The intense strain hardening (SH) effects caused by the accumulation of substructures were promoted when the strain rates were increased, and true stresses exhibited a notable increasing tendency. However, the apparent DRV effects caused by the annihilation of substructures and the increasingly dynamic recrystallization (DRX) behaviors occurred at high compressed temperature, inducing the reduction in true stresses. In addition, a physical-based (PB) constitutive model and a long short-term memory (LSTM) model optimized using the particle swarm optimization (PSO) algorithm were established to predict the flow behavior of Hastelloy C276 alloy. The smaller average absolute relative error and greater relation coefficient suggest that the LSTM model possesses a higher forecasting accuracy than the PB model.

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