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Journal of Materials Engineering and Performance
Erschienen in: Journal of Materials Engineering and Performance 9/2018

24.08.2018

Cellular Automaton Modeling of Dynamic Recrystallization of Nimonic 80A Superalloy Based on Inhomogeneous Distribution of Dislocations Inside Grains

verfasst von: Qianhong Xu, Chi Zhang, Liwen Zhang, Wenfei Shen, Qing Yang

Erschienen in: Journal of Materials Engineering and Performance | Ausgabe 9/2018

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Abstract

A modified cellular automaton (CA) model in the time and space scale is developed to simulate the dynamic recrystallization (DRX) mechanism of Nimonic 80A nickel-base superalloy during hot deformation. Some necessary thermo-mechanical parameters used as input data in CA approach such as work hardening and softening coefficient are fitted according to the previous hot compression experiments. Based on the experimental results, nucleation kinetics is modified as a function of Zener-Holloman parameter. A dislocation density model at transient recrystallization boundary is proposed, in which the dislocation density is a function of temperature, strain rate and annealed dislocation density. The simulated results are in good agreement with experimental results, proving that the modified CA model is capable of predicting both flow behavior and microstructural evolution of Nimonic 80A during hot deformation. According to the experimental and simulated results, the DRX behavior is discussed in detail. It demonstrates that the flow stress and microstructural evolution of DRX have a relationship with the deformation temperature and strain rate.
Vorheriger Artikel High-Temperature Deformation Behavior of Ti-6Al-2Sn-4Zr-2Mo Alloy with Lamellar Microstructure Under Plane-Strain Compression
Nächster Artikel Effect of Coherent Lattice Mismatch on the Morphology and Kinetics of Ordered Precipitates

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Metadaten
Titel
Cellular Automaton Modeling of Dynamic Recrystallization of Nimonic 80A Superalloy Based on Inhomogeneous Distribution of Dislocations Inside Grains
verfasst von
Qianhong Xu
Chi Zhang
Liwen Zhang
Wenfei Shen
Qing Yang
Publikationsdatum
24.08.2018
Verlag
Springer US
Erschienen in
Journal of Materials Engineering and Performance / Ausgabe 9/2018
Print ISSN: 1059-9495
Elektronische ISSN: 1544-1024
DOI
https://doi.org/10.1007/s11665-018-3592-3

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