Statically recrystallized grain size as a function of prior stored energy level in the A-286 Fe-based superalloy

IF 3 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Materialia Pub Date : 2025-02-04 DOI:10.1016/j.mtla.2025.102361
A. Potenciano , A. Nicolay , A. Da Fonseca Alvarenga , O. Danylova , J. Dairon , M. Bernacki , B. Flipon , N. Bozzolo
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引用次数: 0

Abstract

A-286 alloy is a Fe-based superalloy used in various engines and gas turbine components. During manufacturing, this alloy is submitted to a solution heat treatment that provides good formability for the subsequent deformation steps. Hence, a good control of grain size evolution is required to avoid the formation of a broad grain size distribution or the growth of abnormally large grains. In this work, a well-controlled strain gradient has been generated by means of indentation tests at room temperature. A specific strain level, calculated by finite element simulations, and the associated dislocation density estimated by the EBSD technique, lead to the activation of selective grain growth during heat treatment after a given incubation time. This study on cold-deformed A-286 alloy allowed a quantitative assessment of recrystallized grain size dependence on stored energy and the identification of the critical stored energy value for grain nucleation, providing a better understanding of A-286 static recrystallization behavior.
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来源期刊
Materialia
Materialia MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
6.40
自引率
2.90%
发文量
345
审稿时长
36 days
期刊介绍: Materialia is a multidisciplinary journal of materials science and engineering that publishes original peer-reviewed research articles. Articles in Materialia advance the understanding of the relationship between processing, structure, property, and function of materials. Materialia publishes full-length research articles, review articles, and letters (short communications). In addition to receiving direct submissions, Materialia also accepts transfers from Acta Materialia, Inc. partner journals. Materialia offers authors the choice to publish on an open access model (with author fee), or on a subscription model (with no author fee).
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