Heating temperature and atmosphere affecting dynamic recrystallization and property of hot-squeezed ultralow carbon Fe-Cr-Mo steels

Vetayanugul, Bhanu; Morakotjinda, Monnapas; Wila, Pongsak; Krataitong, Rungtip; Rengsomboon, A.; Panyafu, Jessada; Patakham, Ussadawut; Tongsri, Ruangdaj

doi:10.1016/j.matpr.2017.10.098

Cited by 1 publication

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“…The hot deformation process in production of large forgings plays an important role in improving the comprehensive performance. Dynamic recrystallization is an important way to refine grain size and to improve microstructures and comprehensive properties of materials during hot deformation [6][7][8][9][10]. Consequently, studying dynamic recrystallization behavior of X12 alloy steel is of great significance for control of microstructure in large forgings.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Recrystallization Simulation for X12 Alloy Steel by CA Method Based on Modified L-J Dislocation Density Model

Chen

Zhang

et al. 2019

Metals

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Hot compressive behaviors of X12 alloy steel were investigated using a Gleeble-1500D thermal mechanical simulator in a temperature range from 1050 to 1250 • C and with a range of strain rates from 0.05 to 5 s −1 and a maximum true strain of 0.7. Stress-strain curves were obtained under various deformation conditions. A modified Laasraoui-Jonas (L-J) dislocation density model of X12 alloy steel was established for the given ranges of strain rate and temperature. On the basis of this dislocation density model, a cellular automaton (CA) model was constructed and used to simulate microstructure evolution during the hot compression process. Microstructure and grain size of X12 were predicted for different deformation conditions. The simulated grain size was compared with the actual grain size measured with metallographic photos. An average relative error of grain size was determined to be 6%, indicating that the modified L-J dislocation density model can accurately predict dynamic recrystallization behaviors of X12 alloy steel in hot forging processes.

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Section: Introductionmentioning

confidence: 99%