Study of static recrystallization behavior in hot deformed Ni-based superalloy using cellular automaton model. (5th June 2016)

• Record Type: Journal Article
• Authors: Lin, Y.C.; Liu, Yan-Xing; Chen, Ming-Song; Huang, Ming-Hui; Ma, Xiang; Long, Zhi-Li
• Is Part Of: Materials & design. Volume 99(2016)
• Page Start: 107
• Page End: 114
• Publication Date: 2016-06-05
• Subjects: Ni-based superalloy -- Static recrystallization -- Cellular automaton -- Grain boundary; Materials -- Periodicals; Engineering design -- Periodicals; Matériaux -- Périodiques; Conception technique -- Périodiques; Electronic journals; 620.11
• DOI: 10.1016/j.matdes.2016.03.050
• Languages: English
• ISSNs: 0264-1275

Abstract

Abstract: A cellular automaton model (CA) with probabilistic state switches is developed to simulate the microstructural evolution in a Ni-based superalloy during static recrystallization (SRX). The kinetics of SRX is formulated on a mesoscale level. SRX nuclei grow under the driving pressure resulting from the reduction of stored energy and grain boundary energy. It is found that SRX grain size can be well predicted by the developed CA model. Solute elements of the studied superalloy have a drag effects on grain boundary motion. But, this solute drag effect is not obvious at high deformation temperatures. Nucleation rate of the SRX grain increases with the increase of strain, strain rate, and deformation temperature. Besides, the inhomogeneity of grain size first increases, then decreases with the increase of SRX fraction. The changes of inhomogeneity mainly result from the evolutions of the primary and SRX grain sizes. Graphical abstract: Highlights: Static recrystallization (SRX) behaviors of a Ni-based superalloy are studied. A cellular automaton model with probabilistic state switches is developed. Solute elements have a drag effect on grain boundary motion. Nucleation rate of SRX grains are sensitive to deformation parameters. Inhomogeneity of grain size first increases, then decreases with the increased SRX fraction.