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Probability-dependent precipitation strengthening effect of anisotropic precipitate in Al-Mg-Si alloy produced by T6 heat treatment

  • Seunggyu Choi
  • , Gwanghun Kim
  • , Jin Pyeong Kim
  • , Se Hoon Kim
  • , Seung Bae Son
  • , Seok Jae Lee*
  • *Corresponding author for this work
  • Materials and Processing R&D Center
  • Jeonbuk National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

This study proposed a constitutive equation to predict the change in yield strength according to the behavior of β″ metastable precipitates, which have a profound effect on strength among materials precipitated during the T6 heat treatment of Al-Mg-Si alloy. The β″ precipitate is a metastable phase before it becomes a β (Mg2Si) precipitate, and is distributed in the form of nano-scale rods in the aluminum alloy matrix. Existing precipitation strengthening models assume the shape of the precipitate to be spherical, and in that case the equation that depends on the Orowan mechanism with the average precipitate size and distribution should dominate. However, precipitates are formed in various shapes and sizes by anisotropic growth. In particular, rod-shaped precipitates are not suitable for the existing precipitation strengthening model. In this study, an Al-Mg-Si alloy was fabricated by gravity casting followed by T6 heat treatment. The new precipitation strengthening effect equation proposes that the β″ precipitate affects yield strength during plastic deformation of the Al-Mg-Si alloy. The proposed precipitation strengthening effect equation probabilistically considers the Critical Resolved Shear Stress (CRSS), which varies depending on the angle between the dislocation and the precipitate, when the dislocation passes through a rod-shaped precipitate.

Original languageEnglish
Pages (from-to)515-523
Number of pages9
JournalJournal of Korean Institute of Metals and Materials
Volume59
Issue number8
DOIs
StatePublished - 2021.08

Keywords

  • Al-Mg-Si alloy
  • Precipitation
  • Probability dependence
  • Yield strength model

Quacquarelli Symonds(QS) Subject Topics

  • Materials Science
  • Mathematics

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